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The JARVIS Infrastructure is All You Need for Materials Design

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arxiv 2503.04133 v2 pith:VSO3KNSL submitted 2025-03-06 cond-mat.mtrl-sci physics.comp-ph

The JARVIS Infrastructure is All You Need for Materials Design

classification cond-mat.mtrl-sci physics.comp-ph
keywords materialsjarvisdesignacceleratesaccessacrossadoptedapplications
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The Joint Automated Repository for Various Integrated Simulations (JARVIS) is a unified platform for multiscale, multimodal, forward, and inverse materials design. It integrates diverse theoretical and experimental approaches, including density functional theory, quantum Monte Carlo, tight-binding, classical force fields, machine learning, microscopy, diffraction, and cryogenics, across a wide range of materials. Emphasizing open access and reproducibility, JARVIS provides datasets, tools, benchmarks, and web applications that are widely adopted by the materials community. By bridging computation and experiment, JARVIS accelerates both fundamental research and real-world materials innovation.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

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

    cs.AI 2025-12 reject novelty 6.0

    An open-source agentic materials-design platform shows tool access can help or hurt accuracy depending on the property, but its headline memorization-resistant test results are not presented.