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Materials Science
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
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Yanqiao Zhu, JeeHyun Hwang, +11
arXiv (Cornell University)
|
2023
|
6 citations
Learning Potentials of Quantum Systems using Deep Neural Networks
Arijit Sehanobish, Héctor H. Corzo, +2
arXiv (Cornell University)
|
2020
|
6 citations
Learning to Simulate Unseen Physical Systems with Graph Neural Networks
Ce Yang, Weihao Gao, +2
arXiv (Cornell University)
|
2022
|
6 citations
Learning two-phase microstructure evolution using neural operators and autoencoder architectures
Vivek Oommen, Khemraj Shukla, +3
arXiv (Cornell University)
|
2022
|
6 citations
Linear Response Calculations of Spin Fluctuations
Sergey Y. Savrasov
Max Planck Institute for Plasma Physics
|
1998
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6 citations
Linear, Second order and Unconditionally Energy stable schemes for The Viscous Cahn-Hilliard Equation with hyperbolic relaxation using the invariant energy quadratization method
Xiaofeng Yang, Jia Zhao
arXiv (Cornell University)
|
2017
|
6 citations
Linear Temperature Dependence of the Lower Critical Field $H_{c1}$ in F-Doped LaOFeAs Superconductors
Cong Ren, Zhaosheng Wang, +6
ArXiv.org
|
2008
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6 citations
LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction
Andre Niyongabo Rubungo, Kangming Li, +2
arXiv (Cornell University)
|
2024
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6 citations
Local Sensing of Correlated Electrons in Dual-moiré Heterostructures using Dipolar Excitons
Weijie Li, Luka Matej Devenica, +7
arXiv (Cornell University)
|
2021
|
6 citations
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Zhen Lin, Shubhendu Trivedi, +1
arXiv (Cornell University)
|
2021
|
6 citations
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