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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
Atomistic substrate relaxation effects in the band gaps of graphene on hexagonal boron nitride
Jiaqi An, Nicolas Leconte 외 3명
arXiv (Cornell University)
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2026
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0 회 인용
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Arjun Sundaram, Mohit Chakraborty 외 3명
arXiv (Cornell University)
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2026
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0 회 인용
Automated High-Throughput Screening of Polymers Using a Computational Workflow
Lois Smith, Samuel Ericson 외 4명
arXiv (Cornell University)
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2026
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0 회 인용
AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation
Sukriti Manna, Henry Chan 외 1명
arXiv (Cornell University)
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2026
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0 회 인용
Autonomous Laboratory Agent via Customized Domain-Specific Language Model and Modular AI Interface
Zhuo Diao, Kouma Matsumoto 외 3명
arXiv (Cornell University)
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2026
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0 회 인용
Benchmarking short-range machine learning potentials for atomistic simulations of metal/electrolyte interfaces
Lucas B. T. de Kam, Jiaxin Zhu 외 3명
arXiv (Cornell University)
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2026
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0 회 인용
Beyond overcomplication: a linear model suffices to decode hidden structure-property relationships in glasses
Chenyan Wang, Mouyang Cheng 외 1명
arXiv (Cornell University)
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2026
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0 회 인용
Beyond the Training Domain: Robust Generative Transition State Models for Unseen Chemistry
Samir Darouich, Jacob Toney 외 4명
arXiv (Cornell University)
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2026
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0 회 인용
Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery
Bin Cao, Jie Xiong 외 11명
arXiv (Cornell University)
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2026
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0 회 인용
Bias-triggered conductivity relaxation (BCR): a unique tool to simultaneously investigate thermodynamics, kinetics and electrostatic effects of oxygen reactions in MIEC thin films
Alexander Stangl, Alexander Schmid 외 3명
arXiv (Cornell University)
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2026
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0 회 인용
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