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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
Large temperature-up-jump simulations of a binary Lennard-Jones system
Aude Amari, Lorenzo Costigliola 외 1명
arXiv (Cornell University)
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2026
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0 회 인용
Layer Decoupling in Twisted Bilayer WSe$_2$ Uncovered by Automated Dark-Field Tomography
A. Nakamura, Y. Chiashi 외 9명
arXiv (Cornell University)
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2026
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0 회 인용
Learning Hamiltonian Flow Maps: Mean Flow Consistency for Large-Timestep Molecular Dynamics
Winfried Ripken, Michael Plainer 외 6명
arXiv (Cornell University)
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2026
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0 회 인용
Learning Thermal Response Forces: A Method for Extending the Thermodynamic Transferability of Coarse-Grained Models via Machine-Learning
Patrick G. Sahrmann, Benjamin Nebgen 외 2명
arXiv (Cornell University)
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2026
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0 회 인용
LLM-driven discovery for carbon allotropes with bond-network entropy
Yuzhou Hao, Yujie Liu 외 5명
arXiv (Cornell University)
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2026
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0 회 인용
Local structure characterization in particle systems
Rachael S. Skye, Erin Teich
arXiv (Cornell University)
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2026
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0 회 인용
Low-Field Ferroelectric Switching realised by Forced Harmonic Oscillation of Domain Walls
Niyorjyoti Sharma, Nathan Black 외 7명
arXiv (Cornell University)
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2026
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0 회 인용
Low-temperature anomaly and anisotropy of critical magnetic fields in transition-metal dichalcogenide superconductors
Tomoya Sano, Kota Tabata 외 2명
arXiv (Cornell University)
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2026
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0 회 인용
LUMOS: Democratizing SciML Workflows with L0-Regularized Learning for Unified Feature and Parameter Adaptation
Shouwei Gao, Xu Zheng 외 3명
arXiv (Cornell University)
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2026
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0 회 인용
M-CODE: Materials Categorization via Ontology, Dimensionality and Evolution
Vsevolod Biryukov, Kamal Choudhary 외 1명
arXiv (Cornell University)
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2026
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0 회 인용
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