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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
Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
Maciej P. Polak, Shrey Modi 외 6명
arXiv (Cornell University)
|
2023
|
9 회 인용
Fundamental mechanisms of hBN growth by MOVPE
K. Pakuła, Aleksandra Dąbrowska 외 6명
arXiv (Cornell University)
|
2019
|
9 회 인용
Fusion of bogoliubons in Ba$_{1-x}$K$_{x}$Fe$_2$As$_2$ and similarity of energy scales in high temperature superconductors
D. V. Evtushinsky, Tae Kyu Kim 외 11명
arXiv (Cornell University)
|
2011
|
9 회 인용
Gated Graph Recursive Neural Networks for Molecular Property Prediction
Hiroyuki Shindo, Yūji Matsumoto
arXiv (Cornell University)
|
2019
|
9 회 인용
Graph Neural Networks are Dynamic Programmers
Andrew Dudzik, Petar Veličković
arXiv (Cornell University)
|
2022
|
9 회 인용
GraphAne: From Synthesis to Applications
Hasan Şahin, O. Leenaerts 외 2명
arXiv (Cornell University)
|
2015
|
9 회 인용
Heavy-Tailed Universality Predicts Trends in Test Accuracies for Very Large Pre-Trained Deep Neural Networks
Charles H. Martin, Michael W. Mahoney
arXiv (Cornell University)
|
2019
|
9 회 인용
Hot-electron dynamics in plasmonic nanostructures
Jacob B. Khurgin, Anton Yu. Bykov 외 1명
arXiv (Cornell University)
|
2023
|
9 회 인용
Hybrid bound states in the continuum in terahertz metasurfaces
Junxing Fan, Zhanqiang Xue 외 6명
arXiv (Cornell University)
|
2023
|
9 회 인용
Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials
van der Oord, Matthias Sachs 외 3명
arXiv (Cornell University)
|
2022
|
9 회 인용
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