AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org | Paper Citation Record

Observation 26c05817-420a-4057-b297-b4e6cd314b3f · outbound

This paper cites Scientific discovery in the age of artificial intelligence.Nature, 620(7972):47–60, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Scientific discovery in the age of artificial intelligence.Nature, 620(7972):47–60, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:16.831707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2f0249a-a408-4412-b647-3e77d85db022 · outbound

This paper cites Recent advances and applications of deep learning methods in materials science.npj Computational Materials, 8(1):59, 2022.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Recent advances and applications of deep learning methods in materials science.npj Computational Materials, 8(1):59, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:16.926002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e452299b-81ab-482b-8453-440fd6d010c2 · outbound

This paper cites The fair guiding principles for scientific data management and stewardship.Scientific data, 3(1):1–9, 2016.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org The fair guiding principles for scientific data management and stewardship.Scientific data, 3(1):1–9, 2016

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:17.059234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 439c46ec-c8c9-49a1-8e14-e1e797b35a73 · outbound

This paper cites Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities.Information Fusion, 50:71–91, 2019.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities.Information Fusion, 50:71–91, 2019

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:17.190690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55890762-37a5-4312-af6d-b2d31a55c3b9 · outbound

This paper cites Chatgpt for good? on opportunities and challenges of large language models for education.Learning and individual differences, 103:102274, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Chatgpt for good? on opportunities and challenges of large language models for education.Learning and individual differences, 103:102274, 2023

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:17.335703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e9857b9-c09b-4d0d-bf8c-b7fb22f53949 · outbound

This paper cites A comprehensive overview of large language models.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org A comprehensive overview of large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:17.483612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a81ec4b-3cab-4fcd-80d3-83ea69e420ad · outbound

This paper cites GPT-4 Technical Report.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org GPT-4 Technical Report

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:17.616834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 747a5888-1a91-47fe-9d69-ecb7e7e422eb · outbound

This paper cites 14 examples of how llms can transform materials science and chemistry: a reflection on a large language model hackathon.Digital discovery, 2(5):1233–1250, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org 14 examples of how llms can transform materials science and chemistry: a reflection on a large language model hackathon.Digital discovery, 2(5):1233–1250, 2023

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:17.784314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c61375da-4b62-4f68-a80b-382a65071a07 · outbound

This paper cites Leveraging large language models for predictive chemistry.Nature Machine Intelligence, 6(2):161–169, 2024.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Leveraging large language models for predictive chemistry.Nature Machine Intelligence, 6(2):161–169, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:17.960632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe949388-703b-4022-a322-8a645e09b592 · outbound

This paper cites Chemnlp: a natural language-processing-based library for materials chemistry text data.The Journal of Physical Chemistry C, 127(35):17545–17555, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Chemnlp: a natural language-processing-based library for materials chemistry text data.The Journal of Physical Chemistry C, 127(35):17545–17555, 2023

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:18.082137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 519a496a-c93e-41b8-94c2-4040fc3d24eb · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:18.216702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 508e61ec-03b6-46fd-bb17-33d1e7dd3bff · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:18.333601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e054dd6-397c-4847-9b11-3af9a7f2da0f · outbound

This paper cites Atomgpt: Atomistic generative pretrained transformer for forward and inverse materials design.The Journal of Physical Chemistry Letters, 15(27):6909–6917, 2024.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Atomgpt: Atomistic generative pretrained transformer for forward and inverse materials design.The Journal of Physical Chemistry Letters, 15(27):6909–6917, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:18.530379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 071ffd69-678f-476d-9e3a-74978362f865 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:18.669536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bfa94e9-b8b7-44a4-a126-db0c7137b0e3 · outbound

This paper cites Crystal structure generation with autoregressive large language modeling.Nature Communications, 15(1):10570, 2024.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Crystal structure generation with autoregressive large language modeling.Nature Communications, 15(1):10570, 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:18.799196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b966a6fe-c3d1-4b15-9360-b9c74d21ad5a · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:18.977421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efb7f8d9-c57c-4e5f-8818-90637524c701 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1–55, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1–55, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:19.103867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aefc704-9845-49c5-983b-47a836540893 · outbound

This paper cites Towards Mitigating Hallucination in Large Language Models via Self-Reflection.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Towards Mitigating Hallucination in Large Language Models via Self-Reflection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:19.235900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9bc3041-4c5d-4fbb-9c91-7290b4934175 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Towards Understanding Sycophancy in Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:19.370828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33a035e-1108-4ecb-a5e6-346d519d216e · outbound

This paper cites Holistic Evaluation of Language Models.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Holistic Evaluation of Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:19.542781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0022afde-4036-4bf5-b37d-4ef8c6cfce5e · outbound

This paper cites Galactica: A Large Language Model for Science.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Galactica: A Large Language Model for Science

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:19.712173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 059aee25-814d-4b92-a6bd-2fee5f83697b · outbound

This paper cites Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:19.884718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82bead61-1d40-4287-b209-77089efb2793 · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org ChemCrow: Augmenting large-language models with chemistry tools

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.004628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdbb4337-b449-4e8b-a209-5b661032ccb1 · outbound

This paper cites Autonomous chemical research with large language models.Nature, 624(7992):570–578, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Autonomous chemical research with large language models.Nature, 624(7992):570–578, 2023

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.118228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fc1dbc3-8b83-4372-85a6-338967a98be1 · outbound

This paper cites LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.210274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a7cfeb3-ba6b-439b-8121-9670afa11c46 · outbound

This paper cites Fine-Tuned Language Models Generate Stable Inorganic Materials as Text.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Fine-Tuned Language Models Generate Stable Inorganic Materials as Text

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.292011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e607027f-9b13-491b-92f2-4fc1431e3685 · outbound

This paper cites From ai for science to agentic science: A survey on autonomous scientific discovery.arXiv preprint arXiv:2508.14111, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org From ai for science to agentic science: A survey on autonomous scientific discovery.arXiv preprint arXiv:2508.14111, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.365260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e46a31-f065-4c98-a1de-5d2cd051ffd4 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.499633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d3d52b-575a-4919-a27c-f64ba232e2bf · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Toolformer: Language models can teach themselves to use tools.Advances in Neural Information Processing Systems, 36:68539–68551, 2023

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.585802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9089aa9-b30d-4408-9820-074415a18503 · outbound

This paper cites John Wiley & Sons, 2005.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org John Wiley & Sons, 2005

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.664289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352fe5e0-eda4-41f3-993d-f8b67262ff31 · outbound

This paper cites AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.764751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c4e9fcb-9e51-4aea-a4c8-38bbae99283a · outbound

This paper cites Au- tonomous universal research assistant (aura): Agentic ai meets nanohub’s fair workflows and data.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Au- tonomous universal research assistant (aura): Agentic ai meets nanohub’s fair workflows and data

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:20.849680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2578bf27-a7dc-44f1-9e46-b7ec8a1f391d · outbound

This paper cites LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.035093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c528fc-6202-4b54-b797-5255d2c6faef · outbound

This paper cites Scitoolagent: a knowledge-graph-driven scientific agent for multitool integration.Nature Computational Science, pages 1–11, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Scitoolagent: a knowledge-graph-driven scientific agent for multitool integration.Nature Computational Science, pages 1–11, 2025

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.242504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8333ccb9-f193-47ba-acb5-1af6c7ef20d3 · outbound

This paper cites Towards agentic science for advancing scientific discovery.Nature Machine Intelligence, pages 1–3, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Towards agentic science for advancing scientific discovery.Nature Machine Intelligence, pages 1–3, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.368636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6da1faf-82f8-4edf-9f26-a67d27117b27 · outbound

This paper cites Pricing4apis: A rigorous model for restful api pricings.Computer Standards & Interfaces, 91:103878, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Pricing4apis: A rigorous model for restful api pricings.Computer Standards & Interfaces, 91:103878, 2025

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.489503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fab6e6f-caed-43b1-b6a5-4cdef4073aa2 · outbound

This paper cites Cost transparency of enterprise ai adoption.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Cost transparency of enterprise ai adoption

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.624084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bdb44d7-b1f3-4b95-a2b0-9815edcec709 · outbound

This paper cites ” O’Reilly Media, Inc.”, 2011.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org ” O’Reilly Media, Inc.”, 2011

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.780288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26b6d436-649f-4eb6-b973-ab0ee3fdc200 · outbound

This paper cites The joint automated repository for various integrated simulations (jarvis) for data-driven materials design.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org The joint automated repository for various integrated simulations (jarvis) for data-driven materials design

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.883563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079a843c-7dc0-434c-8048-37c9865e411c · outbound

This paper cites Recent progress in the jarvis infrastructure for next-generation data-driven materials design.Applied Physics Reviews, 10(4), 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Recent progress in the jarvis infrastructure for next-generation data-driven materials design.Applied Physics Reviews, 10(4), 2023

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.992401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f55a55-8330-4201-b558-0867f11c345f · outbound

This paper cites The JARVIS Infrastructure is All You Need for Materials Design.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org The JARVIS Infrastructure is All You Need for Materials Design

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.113800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06acba17-02bd-4ecd-8f5b-beb1f408ff7e · outbound

This paper cites Atomistic line graph neural network for improved materials property predictions.npj Computational Materials, 7(1):185, 2021.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Atomistic line graph neural network for improved materials property predictions.npj Computational Materials, 7(1):185, 2021

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.268437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 494a5562-7a1e-4fe3-becc-01940a73a755 · outbound

This paper cites Unified graph neural network force-field for the periodic table: solid state applications.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unified graph neural network force-field for the periodic table: solid state applications

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.419988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cdd4205-575f-47d6-88b5-7292b9143958 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.538876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f07ce8-2b5e-47ab-bfae-914e6dc196d7 · outbound

This paper cites openai-agents-python: A lightweight, powerful framework for multi-agent workflows.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org openai-agents-python: A lightweight, powerful framework for multi-agent workflows

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.626247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5fe3c01-7b47-4ac5-b499-3b0e23193f2a · outbound

This paper cites Agentic AI for Science (AAI4Science) Hackathon 2025.https://github.com/ atomgptlab/aai4science, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Agentic AI for Science (AAI4Science) Hackathon 2025.https://github.com/ atomgptlab/aai4science, 2025

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.688708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b76e07-71ab-474a-abf8-f6b427877faf · outbound

This paper cites A survey on large language model based autonomous agents.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org A survey on large language model based autonomous agents

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.740441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97029f17-d1b9-4371-880c-033ec9a11b2d · outbound

This paper cites Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey.IEEe Access, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Agentic ai: Autonomous intelligence for complex goals–a comprehensive survey.IEEe Access, 2025

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.847991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec40c203-eb69-49ba-b655-57c1775dffb0 · outbound

This paper cites Commentary: The materials project: A materials genome approach to accelerating materials innovation.APL materials, 1(1), 2013.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Commentary: The materials project: A materials genome approach to accelerating materials innovation.APL materials, 1(1), 2013

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:22.966223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 694615c8-d0ff-42a3-b922-2aa8c1098fea · outbound

This paper cites Aflow: An automatic framework for high-throughput materials discovery.Computational Materials Science, 58:218–226, 2012.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Aflow: An automatic framework for high-throughput materials discovery.Computational Materials Science, 58:218–226, 2012

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:23.108110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f643c726-d56f-484b-90ee-48498c67341d · outbound

This paper cites The open quantum materials database (oqmd): assessing the accuracy of dft formation energies.npj Computational Materials, 1(1):1–15, 2015.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org The open quantum materials database (oqmd): assessing the accuracy of dft formation energies.npj Computational Materials, 1(1):1–15, 2015

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:23.232253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c44736-31d0-4c64-a415-ca47e2a9637d · outbound

This paper cites Optimade, an api for exchanging materials data.Scientific data, 8(1):217, 2021.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Optimade, an api for exchanging materials data.Scientific data, 8(1):217, 2021

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:23.325538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d88158d-e16c-4d45-8d9e-cc0d5f6c2c1e · outbound

This paper cites Protein database searches for multiple alignments.Pro- ceedings of the National Academy of Sciences, 87(14):5509–5513, 1990.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Protein database searches for multiple alignments.Pro- ceedings of the National Academy of Sciences, 87(14):5509–5513, 1990

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:23.458186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f77e353-cddf-4557-984b-9c8f331e6b33 · outbound

This paper cites Alphafold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.Nucleic acids research, 50(D1):D439–D444, 2022.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Alphafold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models.Nucleic acids research, 50(D1):D439–D444, 2022

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:23.618017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c716709-237f-432a-a578-7cb6831afe29 · outbound

This paper cites Chips-ff: Evaluating universal machine learning force fields for material properties.ACS Materials Letters, 7(6):2105–2114, 2025.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Chips-ff: Evaluating universal machine learning force fields for material properties.ACS Materials Letters, 7(6):2105–2114, 2025

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:23.863034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc882606-e313-4328-af2f-4571994ceaff · outbound

This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130, 2023

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:23.952261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0e683c-4acc-400c-a1f6-3850ed9807a3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.065366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60bf38a9-e3b3-4f8c-a7fe-fffd0e6c3490 · outbound

This paper cites DeepSeek-V3 Technical Report.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org DeepSeek-V3 Technical Report

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.196520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32be7f36-ed35-45bc-930b-c9e4809c84ca · outbound

This paper cites Qwen Technical Report.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Qwen Technical Report

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.257910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2626eb19-ffef-40a8-b51b-f4b4aa7f01ac · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Gemma: Open Models Based on Gemini Research and Technology

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.349615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7420bf05-d9d8-4cdc-b062-a7fee0a143f1 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.470919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1a85bf3-ea75-4242-974e-f23c1e3060f9 · outbound

This paper cites GPT-OSS-20B: An open-source 20-billion-parameter large language model, 2024.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org GPT-OSS-20B: An open-source 20-billion-parameter large language model, 2024

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.559775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d743bf3-bebd-4b37-bda8-891196eb9231 · outbound

This paper cites Phi-4 Technical Report.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Phi-4 Technical Report

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.618331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a3cb90-189d-4a9e-8de2-6c6392df30f9 · outbound

This paper cites Temperature and compositional dependence of the energy band gap of algan alloys.Applied Physics Letters, 87(24), 2005.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Temperature and compositional dependence of the energy band gap of algan alloys.Applied Physics Letters, 87(24), 2005

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.708286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b60e159-b924-41b1-9b23-1b98165c8ebf · outbound

This paper cites Jarvis-leaderboard: a large scale benchmark of materials design methods.npj Computational Materials, 10(1):93, 2024.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Jarvis-leaderboard: a large scale benchmark of materials design methods.npj Computational Materials, 10(1):93, 2024

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.772918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3724a34-b6fe-4ef0-a8cf-04b09d6de3dc · outbound

This paper cites WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org WTU-EVAL: A Whether-or-Not Tool Usage Evaluation Benchmark for Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.825344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a41662b-540b-476d-9ee9-3bfb6ad53693 · outbound

This paper cites SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.904829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 284cd21e-84cf-4c84-a033-8afe98f622cf · outbound

This paper cites Advancing tool-augmented large language models via meta-verification and reflection learning.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Advancing tool-augmented large language models via meta-verification and reflection learning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:24.972209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4333d217-ff60-41a4-8fb8-7b6d0c09ce17 · outbound

This paper cites Ollama: Local large language model runtime, 2023.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Ollama: Local large language model runtime, 2023

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.045991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c120c993-30a9-40ac-ae71-4c99ec67cf90 · outbound

This paper cites Whats the capital of US?.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Whats the capital of US?

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.113965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea6dd617-f2c0-4847-8c6f-21d71585df3c · outbound

This paper cites γ‑Al₂O₃ is the most widely used form for catalysis because of its high surface area (~200 m² g⁻¹).

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org γ‑Al₂O₃ is the most widely used form for catalysis because of its high surface area (~200 m² g⁻¹)

Reference 71

Resolution: malformed identifier; no resolver link, observed 2026-08-03T16:56:25.204516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35c5b35-4160-4519-89ea-6d0d9dad325a · outbound

This paper cites Glass‑ceramics contain nanocrystalline α‑Al₂O₃ embedded in a glassy matrix, combining high hardness with low thermal expansion.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Glass‑ceramics contain nanocrystalline α‑Al₂O₃ embedded in a glassy matrix, combining high hardness with low thermal expansion

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.302771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f62ed777-0978-423d-a763-f1fe8e75e6cd · outbound

This paper cites ALD is the most common route for conformal Al₂O₃ thin films; the typical precursor is trimethylaluminum (TMA) with water or ozone.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org ALD is the most common route for conformal Al₂O₃ thin films; the typical precursor is trimethylaluminum (TMA) with water or ozone

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.355758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4387d1a-ecfb-41be-a5b0-fc8afe2bea73 · outbound

This paper cites Composite materials combine the high hardness of Al₂O₃ with the toughness or thermal conductivity of the secondary phase.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Composite materials combine the high hardness of Al₂O₃ with the toughness or thermal conductivity of the secondary phase

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.443398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a6bf007-6e5a-4d62-b958-6d44e92cfffc · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.526972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6e60f1b-facc-4a28-9846-3aa1d8b34b0b · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.616781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 249a4d82-ba75-41fb-ba9c-dbd3cd0ced55 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.712334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed32603a-38bf-4f91-a6a1-49a60c66f095 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.778283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a9f6b2-2331-4fbf-ad00-2ad4e510e279 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.853040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 486239d8-1394-44e2-b0b3-3f9dc4e2d2fc · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.892063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1582355-0042-472f-8082-bf5ce1f29672 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:25.949612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f45232-5229-4add-86b5-57fe01cd5544 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.102116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d022fc4-15f4-43d6-9967-a928c62a670e · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 83

Resolution: parse uncertain; no resolver link, observed 2026-08-03T16:56:26.230075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da4a640-a035-4ce3-a309-596939737adc · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.375593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c800d234-0fc2-423f-a91d-b2e2b1a46bc7 · outbound

This paper cites First‑principles study of Al₂O₃ polymorphs,.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org First‑principles study of Al₂O₃ polymorphs,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.487966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2ef74c2-64d1-4e14-9073-8faf161eca18 · outbound

This paper cites High‑temperature phase diagram of Al₂O₃,.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org High‑temperature phase diagram of Al₂O₃,

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.586313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 145d6db0-ac7b-462d-bc32-ba55c8909c98 · outbound

This paper cites Al₂O₃ thin films by ALD: A review,.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Al₂O₃ thin films by ALD: A review,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.657294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07b741da-d5b7-4c7d-9c80-aa84284f6cc5 · outbound

This paper cites Doping of Al₂O₃: Effects on optical and electronic properties,.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Doping of Al₂O₃: Effects on optical and electronic properties,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.711091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5ecd1fb-8e8d-4702-ac83-63ca29a6cd61 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.796673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd28e10b-0e25-4811-96f1-6d0ca42a8624 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:26.951995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc40312-ea57-44fb-90f6-a413e86596f3 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.131373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e49c1513-04e8-47a5-b4f8-6cefafc2208a · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.253742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 550df11a-a57a-40b3-8cb5-7326b63d22ea · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.400346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 110ad93f-a23c-4a38-bf49-51ed802a13e7 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.526696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b80d88-8812-4b62-8605-38b1f3285bc1 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.645264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776a6d84-913c-4a5c-8689-7939216b6f3f · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.780269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 105a44d8-28aa-4410-ae4e-20aeced36422 · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.888052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b060384f-3f6a-4952-99c8-1468ee987283 · outbound

This paper cites What are the formation energies of SiC, AlN, MgO?.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org What are the formation energies of SiC, AlN, MgO?

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:27.984014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9debc73-3cd8-43cb-bfcd-6c0fea3f384a · outbound

This paper cites an unresolved cited work.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:28.125086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5bf113d-cff3-49c4-bd2b-a1bf435f4d20 · outbound

This paper cites Among materials with bulk modulus > 150 GPa, which has the lowest ehull?.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org Among materials with bulk modulus > 150 GPa, which has the lowest ehull?

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:28.268568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers