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