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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
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis
Katsuhiko Ishiguro, Kazuya Ujihara 외 3명
arXiv (Cornell University)
|
2020
|
4 회 인용
Dataless training of generative models for the inverse design of metasurfaces.
Jiaqi Jiang, Jonathan A. Fan
arXiv (Cornell University)
|
2019
|
4 회 인용
Deep learning methods based on cross-section images for predicting effective thermal conductivity of composites
Qingyuan Rong, Wei Han 외 1명
arXiv (Cornell University)
|
2019
|
4 회 인용
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning
Artur Souza, Leonardo B. Oliveira 외 6명
arXiv (Cornell University)
|
2019
|
4 회 인용
Defect ordering and defect-domain wall interactions in PbTiO$_3$: A first-principles study
Anand Chandasekaran, Dragan Damjanović 외 2명
arXiv (Cornell University)
|
2013
|
4 회 인용
Defects-driven appearance of half-metallic ferrimagnetism in Co-Mn--based Heusler alloys
K. Özdoğan, I. Galanakis 외 2명
ArXiv.org
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2007
|
4 회 인용
Defining graphenic crystallites in disordered carbon: moving beyond the platelet model
Kate J. Putman, Nigel A. Marks 외 4명
arXiv (Cornell University)
|
2022
|
4 회 인용
Deformation mechanisms of Mg-Ca-Zn alloys studied by means of micropillar compression tests
Jingya Wang, Yiwen Chen 외 3명
arXiv (Cornell University)
|
2021
|
4 회 인용
Degenerate flat bands in twisted bilayer graphene
Simon Becker, Tristan Humbert 외 1명
arXiv (Cornell University)
|
2023
|
4 회 인용
Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems
Puhan Zhang, Sheng Zhang 외 1명
arXiv (Cornell University)
|
2022
|
4 회 인용
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