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Source: paper_references, paper_reference_links, observed 2026-06-29T19:19:54.591849Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 0 inbound Pith citation observations for arXiv:2605.26833.
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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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100 of 110 outbound references displayed
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Observation 969514d5-dad2-444d-bb11-80958c385140 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Production, use, and fate of all plastics ever made.Science advances, 3(7):e1700782, 2017
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Observation f1ccc990-829f-4299-8f33-be009556c74d · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Designing polymers for advanced battery chemistries.Nature Reviews Materials, 4(5):312–330, 2019
Reference 2
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Observation bb88d1a1-8ffa-4e8b-88b5-fb891b61bd77 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Helical polymers for biological and medical applications.Nature Reviews Chemistry, 4(6):291–310, 2020
Reference 3
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Observation d8d92274-305c-460b-a76b-466f82f51178 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Oxford University Press, 1997
Reference 4
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Observation 99f6f279-b619-40ca-a278-ca7dbec9f236 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Routledge, 2019
Reference 5
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Observation aabbe21c-9836-4396-8d56-068578f8e9a9 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Polymer history.Designed monomers and polymers, 11(1):1–15, 2008
Reference 6
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Observation 149a0fcb-2899-4e54-bb2f-e45860fd43d3 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Polymer informatics: opportunities and challenges.ACS macro letters, 6(10):1078– 1082, 2017
Reference 7
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Observation e985d8bd-c050-439f-82de-8c183fd12502 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Polymer informatics: Current status and critical next steps.Materials Science and Engineering: R: Reports, 144:100595, 2021
Reference 8
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Observation 4af1a30d-a742-4c75-ac80-6fe3091336a9 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm.Npj Computational Materials, 5(1):66, 2019
Reference 9
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Observation 3249f248-f450-4e75-8bcc-f7fb8882558b · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Designing exceptional gas-separation polymer membranes using machine learning.Science advances, 6(20):eaaz4301, 2020
Reference 10
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Observation 6132174a-c902-464a-8dfb-127627787e21 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Bioplastic design using multitask deep neural networks.Communications materials, 3(1):96, 2022
Reference 11
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Observation ad570ab8-a143-4fd5-a054-409eaaa58a49 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Extended-connectivity fingerprints.Journal of chemical information and modeling, 50(5):742–754, 2010
Reference 12
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Observation b23534e6-2ad2-4767-a771-b9b0bbe1eab2 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Polymer genome: a data- powered polymer informatics platform for property predictions.The Journal of Physical Chemistry C, 122(31):17575– 17585, 2018
Reference 13
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Observation 8ee0abb0-4926-4b45-9ccd-17e648ec50dc · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Machine-learning predictions of polymer properties with polymer genome.Journal of Applied Physics, 128(17), 2020
Reference 14
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Observation 8f25db86-79c0-435e-85e6-453f1e03a3a7 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Learning matter: Materials design with machine learning and atomistic simulations.Accounts of Materials Research, 3(3):343–357, 2022
Reference 15
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Observation c051409b-d8e1-452e-804c-356a4b799237 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery TransPolymer: a Transformer-based language model for polymer property predictions.npj Computational Materials, 9(1):64, 2023
Reference 16
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Observation d6b29a49-f88e-42cc-84af-b356ff824270 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics.Nature Communications, 14(1):4099, 2023
Reference 17
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Observation 26abf289-a465-45a5-83d1-267293bdd6d0 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Transformers in drug discovery: fine-tuning chemberta for high-accuracy prediction of solubility, toxicity and binding affinity.Drug Discovery Today, page 104602, 2026
Reference 18
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Observation ab5aaa5c-84e6-4b24-b633-bb6a8361dc0b · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Smiles, a chemical language and information system
Reference 19
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Observation 77473bd9-fb65-4c00-bcbe-acfc9072b26a · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Graph networks as a universal machine learning framework for molecules and crystals.Chemistry of Materials, 31(9):3564–3572, 2019
Reference 20
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Observation 4b7a5cab-3470-4452-b5b2-0a3662a9dc31 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Message-passing neural networks for high-throughput polymer screening.The Journal of chemical physics, 150(23), 2019
Reference 21
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Observation caac5305-7833-4bf2-ac52-72bd429c85aa · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Molecular contrastive learning of representations via graph neural networks.Nature Machine Intelligence, 4(3):279–287, 2022
Reference 22
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Observation 9c43d9df-516f-46da-9e33-6daba7e94229 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Chemistry-informed macromolecule graph representa- tion for similarity computation, unsupervised and supervised learning.Machine Learning: Science and Technology, 3(1):015028, 2022
Reference 23
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Observation 619288a8-9454-4cc4-ba4a-78a36f049bf1 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Antoniuk, Peggy Li, Bhavya Kailkhura, and Anna M
Reference 24
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Observation b34b1104-6ba5-4972-8f9f-4323d73d0b70 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 25
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Observation 19116945-b2fc-4ca3-96e6-41c10110eb7b · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Chemprop: a machine learning package for chemical property prediction
Reference 26
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Observation 6f2b275e-85c6-4c80-8705-12ba8f09ae7b · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery McCarver, Saitheeraj Thatigotla, Brendan P
Reference 27
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Observation 13da8a2f-8c5e-4db8-8c62-a752ac5e6056 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Polymer Informatics at Scale with Multitask Graph Neural Networks.Chemistry of Materials, 35(4):1560–1567, 2023
Reference 28
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Observation 182d62cf-d6db-4266-98bb-9576c3ddcb67 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Polync: a natural and chemical language model for the prediction of unified polymer properties.Chemical Science, 15(2):534–544, 2024
Reference 29
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Observation d893504b-eb3a-4540-8fc0-a08ebf8fb1c1 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction
Reference 30
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Observation fa427b20-06b2-4c3e-bc44-4374cbfa5ccd · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery TransChem: A hybrid transformer and cheminformatics based framework for enhanced polymer informatics.Materials Today Communications, 48:113375, 2025
Reference 31
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Observation 31f65f3f-1d59-423c-b553-a8d142884570 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unified multimodal multidomain polymer representation for property prediction.npj Computational Materials, 11(1):153, 2025
Reference 32
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Observation 3879228f-5391-4f1a-93a5-92cb6cbe1d95 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Machine learning-assisted design of advanced polymeric materials
Reference 33
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Observation 19ece8d1-68d5-4573-b94d-6750cab84c80 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Ai-assisted design of advanced polymeric materials: Challenges and solutions.Advanced Materials, 38(7):e16857, 2026
Reference 34
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Observation 45af0be8-e197-4fe4-9d6e-e8f914cd9a21 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Open polymer challenge: Post-competition report.arXiv preprint arXiv:2512.08896, 2025
Reference 35
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Observation 17ffe682-ae53-411e-b5c8-a16f67ce3e77 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Two-step divergent synthesis of monodisperse and ultra-long bottlebrush polymers from an easily purifiable romp monomer.Angewandte Chemie, 133(3):1552–1558, 2021
Reference 36
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Observation 592ba98c-9d43-40b3-9216-a682fd593bd1 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Topological Deep Learning: Going Beyond Graph Data
Reference 37
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Observation 3e41b23f-6795-4dbf-8db8-11d013d208b9 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Combinatorial complexes: bridging the gap between cell complexes and hypergraphs
Reference 38
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Observation 18092989-9079-4f02-87bf-edea27fd3e5d · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Position: Topological deep learning is the new frontier for relational learning
Reference 39
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Observation 70de4a3f-13f3-4cc4-ab00-1dc962ae712f · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Topological data analysis in graph neural networks: Surveys and perspectives.IEEE Transactions on Neural Networks and Learning Systems, 36(6):9758–9776, 2025
Reference 40
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Observation 1d7bd5ac-2388-4796-8fda-fe6201c9fa8b · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Topology and data.Bulletin of the American Mathematical Society, 46(2):255–308, 2009
Reference 41
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Observation 22421c3b-6cc3-45b2-b3ed-581b2ece8db3 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Edelsbrunner and J
Reference 42
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Observation ccf7b2c8-c391-48c6-b94f-a9d164afe952 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Porter, Ulrike Tillmann, Peter Grindrod, and Heather A
Reference 43
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Observation 72a86f6e-b254-4471-b5cf-d46d7a82927e · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Bochner’s Method for Cell Complexes and Combinatorial Ricci Curvature.Discrete & Computational Geometry, 29(3):323–374, 2003
Reference 44
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Observation 064f697d-f94d-4211-a136-4a5da26241c9 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Toward a spectral theory of cellular sheaves.Journal of Applied and Computational Topology, 3(4):315–358, 2019
Reference 45
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Observation eff5666e-8c7c-40c1-a2d7-134224e1da0e · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery What are higher-order networks?SIAM review, 65(3):686–731, 2023
Reference 46
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Observation f90da324-4806-4fb0-a5b4-9d1b7ce265e3 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Montufar, Pietro Li´ o, and Michael Bronstein
Reference 47
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Observation 51d1ad6f-c6e8-454a-bcf0-9d94ecc80191 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Weisfeiler and lehman go cellular: Cw networks.Advances in neural information processing systems, 34:2625–2640, 2021
Reference 48
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Observation 90c28e1d-1f79-4160-9c20-e1949319cece · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Signal processing on simplicial complexes
Reference 49
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Observation 0f5fac73-eca8-4480-8342-c5f608369248 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Cell attention networks
Reference 50
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Observation 65d93c6c-6148-442a-874c-2a987acc9048 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Topologynet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions.PLoS computational biology, 13(7):e1005690, 2017
Reference 51
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Observation 916121d3-60ee-43cb-8e15-a7a980baf93f · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery A review of topological data analysis and topological deep learning in molecular sciences
Reference 52
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Observation d7997b0d-378f-44d6-91d2-0a05d02bdb6f · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Topological message passing for higher-order and long-range interactions
Reference 53
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Observation b6341f05-3e86-4d58-87ec-445868601f70 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Topological graph neural networks: A novel approach for geometric deep learning
Reference 54
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Observation ccabb4ec-43f4-463d-b0e3-351c948aa42b · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Molecular topological deep learning for polymer property prediction.ACS nano, 2026
Reference 55
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Observation 2ea7a0fe-9a88-4e70-acbf-6aaac365b37e · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Self-Supervised Graph Transformer on Large-Scale Molecular Data
Reference 56
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Observation 68f13195-e7be-4438-831c-0660b6f114d6 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Hierarchical molecular graph self-supervised learning for property predic- tion.Communications Chemistry, 6(1):34, 2023
Reference 57
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Observation dfb6758b-1208-47cc-86b6-6db805e00727 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Evaluating self-supervised learning for molecular graph embeddings.Advances in Neural Information Processing Systems, 36:68028–68060, 2023
Reference 58
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Observation c7c07a08-8c29-476d-a458-cd75378f0f0a · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Motif-based graph self-supervised learning for molecular property prediction.Advances in Neural Information Processing Systems, 34:15870–15882, 2021
Reference 59
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Observation e0ffbb8a-0eed-4ea9-9429-1e8a7f878a1e · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Comprehensive analysis of masking techniques in molecular graph representation learning.IEEE Access, 2025
Reference 60
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Observation c5f26d73-f41e-44a3-bbba-02530bc2f21b · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Augmenting Polymer Datasets by Iterative Rearrangement.Journal of Chemical Information and Modeling, 63(14):4266–4276, 2023
Reference 61
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Observation 5c27aaa5-dd12-4497-8fb9-66e3c823117e · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening.PLOS Computational Biology, 14(1):e1005929, 2018
Reference 62
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Observation 13fb3da8-f497-4ac6-8d17-6fc69e56583a · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Simplicial attention networks
Reference 63
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Observation 07dfae7a-0700-4b82-b15d-6eb52d333f87 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Simplicial Convolutional Neural Networks
Reference 64
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Observation ba023c98-12f9-4e39-a016-3cbc78784cf8 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery DeeperGCN: All You Need to Train Deeper GCNs, 2020
Reference 65
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Observation d743c1ed-f0a2-41a0-a32b-443d37ae4d39 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Rittig, Qinghe Gao, Manuel Dahmen, Alexander Mitsos, and Artur M
Reference 66
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Observation c297f08d-0d2d-4ae8-b20f-b10305bac03d · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 67
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Observation baf17054-0193-4193-a36c-65d700c75350 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 68
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Observation 60edfe9e-cb74-4fc1-a80a-f020fcff8a85 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 69
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Observation 91356d2c-e2ef-48b1-99ab-93001211f4b4 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Forman persistent ricci curvature (fprc)-based machine learning models for protein–ligand binding affinity prediction.Briefings in Bioinformatics, 22(6):bbab136, 2021
Reference 70
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Observation 2a2675dc-8773-41e6-a358-167ad1c82b5f · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer.Entropy, 25(6):885, 2023
Reference 71
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Observation daabf8ee-f042-4750-bdac-03efd4e6a29a · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Effective structural encodings via local curvature profiles
Reference 72
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Observation dee797e5-6e27-4229-a8cf-b7dc0d9654be · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery PI1M: A Benchmark Database for Polymer Informatics.Journal of Chemical Information and Modeling, 60(10):4684–4690, 2020
Reference 73
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Observation bbab08f9-e7b1-4374-8713-c1b653ef6334 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Roshan Joseph, and Rampi Ramprasad
Reference 74
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Observation 689b2a7b-9815-4e5e-8be8-96f1e85f3309 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Polymer informatics with multi-task learning.Patterns, 2(4):100238, 2021
Reference 75
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Observation 71f7ea5a-c834-43d7-a903-5d647995d46d · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Estimation and Prediction of the Polymers’ Physical Characteristics Using the Machine Learning Models.Polymers, 16(1):115, 2024
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Observation fdd8917c-7f36-4a88-beef-08cbd141e104 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 77
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Observation 3518da5a-b2b8-47b1-8f4e-9ba0a803dc7c · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Effect of large polar side groups on the glass transition temperature of acrylic copolymers.Macromolecules, 26(14):3681–3686, 1993
Reference 78
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Observation 54e3ef68-dcc3-402b-a455-09db3cc43815 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Influence of acrylamide monomer addition to the acrylic denture-base resins on mechanical and physical properties.International Journal of Oral Science, 5(4):229–235, 2013
Reference 79
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Observation 61636759-0ae1-4425-9969-1670eb4c53fe · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Haehnel, Andrea M
Reference 80
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Observation 2af167f9-d36e-4aa9-8bf8-4a8b87593655 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 81
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Observation 3e711009-6216-4386-95d4-9ce3169742f7 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery High Glass-Transition Temperature Acrylate Polymers Derived from Biomasses, Syringaldehyde, and Vanillin.Macromolecular Chemistry and Physics, 217(21):2402–2408, 2016
Reference 82
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Observation 7b6e6e1a-9daf-4977-b36c-5d907e465f74 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Synthesis of (meth)acrylamide-based glycomonomers using renewable resources and their polymerization in aqueous systems.Green Chemistry, 20(2):476–484, 2018
Reference 83
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Observation 625b5a0b-8e15-46cb-aaeb-6a7890a49387 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 84
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Observation a16e0003-cd07-455e-b5b5-07a5f33cb196 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 85
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Observation 60165f12-ff8b-4602-96f9-af28911de3a7 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Estimation of synthetic accessibility score of drug-like molecules based on molecular complexity and fragment contributions.Journal of Cheminformatics, 1(1):8, 2009
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Observation 3967da3c-2ac1-4e88-9d83-813e19382315 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Molecular geometric deep learning.Cell reports methods, 3(11), 2023
Reference 87
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Observation 003a1748-e4bf-424b-966f-caf33e22933c · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Topology-aware multiscale mixture of experts for efficient molecular property prediction.arXiv preprint arXiv:2601.12637, 2026
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Observation 19e8f8c2-fd00-41bc-b9b6-605e88d0da16 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Bigsmiles: a structurally-based line notation for describing macromolecules.ACS central science, 5(9):1523–1531, 2019
Reference 89
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Observation ab743703-7bf0-4932-a8fa-7c67493b2b94 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Quotient complex (qc)-based machine learning for 2d hybrid perovskite design.Journal of Chemical Information and Modeling, 65(2):660–671, 2025
Reference 90
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Observation 780f5356-b281-474c-ada7-88c03984d85c · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Quotient-complex transformer for perovskite data analysis.Cell Reports Physical Science, 2026
Reference 91
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Observation ea3974bb-d736-45a4-99a3-89cc8bbeb85d · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Cross-linking–effect on physical properties of polymers.Journal of Macromolecular Science, Part C, 3(1):69–103, 1969
Reference 92
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Observation b734edcf-730d-4dea-97c6-ab5639a86062 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Star polymer networks: a toolbox for cross-linked polymers with controlled structure.Polymer Chemistry, 13(15):2074–2107, 2022
Reference 93
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Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 94
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Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 95
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Observation f4692df0-0c72-41d5-a19c-2a696b9ca6d9 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Decoupled Weight Decay Regularization
Reference 96
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Observation ac1e2036-7699-4b85-b008-26a8d6b9129c · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery On the difficulty of training recurrent neural networks
Reference 97
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Periodic Topological Deep Learning for Polymer Design and Discovery Unresolved cited work
Reference 98
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Observation bedb4cfe-92bc-42e3-8cd6-8a1e8d4fb74c · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery SGDR: Stochastic Gradient Descent with Warm Restarts
Reference 99
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Observation b6c41044-9479-48db-a613-65113d29ce93 · outbound
Periodic Topological Deep Learning for Polymer Design and Discovery Early Stopping - But When? InNeural Networks: Tricks of the Trade, pages 55–69
Reference 100
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