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Materials Science
Materials Science 논문 리뷰
Materials Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
4,949개의 결과
CrystalGAN: Learning to Discover Crystallographic Structures with Generative Adversarial Networks
Asma Nouira, Nataliya Sokolovska 외 1명
arXiv (Cornell University)
|
2018
|
87 회 인용
Three megahertz photon collection rate from an NV center with millisecond spin coherence
Luozhou Li, Edward H. Chen 외 8명
arXiv (Cornell University)
|
2014
|
87 회 인용
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Kaushalya Madhawa, Katushiko Ishiguro 외 2명
arXiv (Cornell University)
|
2019
|
86 회 인용
PatentBERT: Patent Classification with Fine-Tuning a pre-trained BERT Model
Jieh-Sheng Lee, Jieh Hsiang
arXiv (Cornell University)
|
2019
|
86 회 인용
Why are glass-forming liquids non-Arrhenius?
Jeppe C. Dyre
arXiv (Cornell University)
|
1997
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86 회 인용
3D Infomax improves GNNs for Molecular Property Prediction
H. Stärk, Dominique Beaini 외 5명
arXiv (Cornell University)
|
2021
|
85 회 인용
High quality factor silicon-on-lithium niobate metasurfaces for electro-optically reconfigurable wavefront shaping
Elissa Klopfer, Sahil Dagli 외 3명
arXiv (Cornell University)
|
2021
|
84 회 인용
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon C. Wood 외 2명
arXiv (Cornell University)
|
2023
|
81 회 인용
Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network
Seongok Ryu, Jaechang Lim 외 2명
arXiv (Cornell University)
|
2018
|
80 회 인용
A deep learning framework for solution and discovery in solid mechanics
Ehsan Haghighat, Maziar Raissi 외 3명
arXiv (Cornell University)
|
2020
|
79 회 인용
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