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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
Accelerated Markov Chain Monte Carlo Simulation via Neural Network-Driven Importance Sampling
Michael Kim, Wei Cai
arXiv (Cornell University)
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2026
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0 회 인용
Accelerating Density Fitting with Adaptive-precision and 8-bit Integer on AI Accelerators
Hua Huang, Wekai Shao 외 1명
arXiv (Cornell University)
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2026
|
0 회 인용
Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations
Peter Eastman, Evan Pretti 외 1명
arXiv (Cornell University)
|
2026
|
0 회 인용
AdsorbFlow: energy-conditioned flow matching enables fast and realistic adsorbate placement
Jiangjie Qiu, Wentao Li 외 3명
arXiv (Cornell University)
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2026
|
0 회 인용
Agentic AI and Machine Learning for Accelerated Materials Discovery and Applications
Jihua Chen, Panagiotis Christakopoulos 외 3명
arXiv (Cornell University)
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2026
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0 회 인용
Alleviating Projection-Space Sensitivity in DFT+U via Renormalized U
Manjula Raman, Kenneth Park
arXiv (Cornell University)
|
2026
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0 회 인용
Altermagnetic Metal-Organic Frameworks
Diego López‐Alcalá, Andrei Shumilin 외 1명
arXiv (Cornell University)
|
2026
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0 회 인용
Amplified up-conversion of electromagnetic waves using time-varying metasurfaces
Fedor Kovalev, Stanislav I. Maslovski 외 2명
arXiv (Cornell University)
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2026
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0 회 인용
An almost trivial observation about the icosahedron
Jürgen Richter-Gebert
arXiv (Cornell University)
|
2026
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0 회 인용
An effective correction method for droplet volume conservation in direct numerical simulation of droplet-laden turbulence
Cheng Peng, Xuming Li 외 8명
arXiv (Cornell University)
|
2026
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0 회 인용
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