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Materials Science
Materials Science 논문 리뷰
Materials Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,071개의 결과
A cellular automaton model for thermal transport in low-dimensional systems
Alejandra León
arXiv (Cornell University)
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2026
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0 회 인용
A Conceptual Shift In Our Understanding of Degenerate Radical Spin Systems: Spin-Rotation Coupling Turned On Its Head
Linqing Peng, Titouan Duston 외 5명
arXiv (Cornell University)
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2026
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0 회 인용
A Cross-Domain Graph Learning Protocol for Single-Step Molecular Geometry Refinement
Chengchun Liu, Wendi Cai 외 2명
arXiv (Cornell University)
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2026
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0 회 인용
A generative machine learning model for designing metal hydrides applied to hydrogen storage
Xiyuan Liu, Christian Hacker 외 2명
arXiv (Cornell University)
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2026
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0 회 인용
A Multi-task Large Reasoning Model for Molecular Science
Pengfei Liu, Shuang Ge 외 2명
arXiv (Cornell University)
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2026
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0 회 인용
A New Workflow for Materials Discovery Bridging the Gap Between Experimental Databases and Graph Neural Networks
Brandon Schoener, Yuting Hu 외 7명
arXiv (Cornell University)
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2026
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0 회 인용
A Physics-Regularized Neural Network and Kirchhoff Markov Random Field Framework for Inferring Internal Electrochemical States from Operando Spectromicroscopy
Naoki Wada, Yuta Kimura 외 4명
arXiv (Cornell University)
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2026
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0 회 인용
A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention
Eric Qu, Brandon M. Wood 외 2명
arXiv (Cornell University)
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2026
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0 회 인용
A Robust Compressible APIC/FLIP Particle Grid Method with Conservative Resampling and Adaptive APIC/PIC Blending
Jiansheng Yao, Yingkui Zhao
arXiv (Cornell University)
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2026
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0 회 인용
A Study of Adaptive Modeling Towards Robust Generalization
Zihao Jing, Qiuhao Zeng 외 5명
arXiv (Cornell University)
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2026
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0 회 인용
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