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Materials Science 论文解读
Materials Science 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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5,071 results
Atomistic substrate relaxation effects in the band gaps of graphene on hexagonal boron nitride
Jiaqi An, Nicolas Leconte, +3
arXiv (Cornell University)
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2026
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0 citations
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Arjun Sundaram, Mohit Chakraborty, +3
arXiv (Cornell University)
|
2026
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0 citations
Automated High-Throughput Screening of Polymers Using a Computational Workflow
Lois Smith, Samuel Ericson, +4
arXiv (Cornell University)
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2026
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0 citations
AutoMOOSE: An Agentic AI for Autonomous Phase-Field Simulation
Sukriti Manna, Henry Chan, +1
arXiv (Cornell University)
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2026
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0 citations
Autonomous Laboratory Agent via Customized Domain-Specific Language Model and Modular AI Interface
Zhuo Diao, Kouma Matsumoto, +3
arXiv (Cornell University)
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2026
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0 citations
Benchmarking short-range machine learning potentials for atomistic simulations of metal/electrolyte interfaces
Lucas B. T. de Kam, Jiaxin Zhu, +3
arXiv (Cornell University)
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2026
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0 citations
Beyond overcomplication: a linear model suffices to decode hidden structure-property relationships in glasses
Chenyan Wang, Mouyang Cheng, +1
arXiv (Cornell University)
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2026
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0 citations
Beyond the Training Domain: Robust Generative Transition State Models for Unseen Chemistry
Samir Darouich, Jacob Toney, +4
arXiv (Cornell University)
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2026
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0 citations
Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery
Bin Cao, Jie Xiong, +11
arXiv (Cornell University)
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2026
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0 citations
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, +3
arXiv (Cornell University)
|
2026
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0 citations
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