Ekin D. Cubuk - Publications, H-index & Citations

Ekin D. Cubuk

Google DeepMind

50H指数

147论文数

2.0W被引数

收录论文 27

发表时间

Author Correction: An autonomous laboratory for the accelerated synthesis of inorganic materials 作者更正: 加速合成无机材料的自主实验室

Nature

IF48.5

2026-01-19

OAAI

Nathan J. Szymanski; Bernardus Rendy; Yuxing Fei; Rishi E. Kumar; Tanjin He; David Milsted; Matthew J. McDermott; Max Gallant; Ekin Dogus Cubuk; Amil Merchant; Haegyeom Kim; Anubhav Jain; Christopher J. Bartel; Kristin Persson; Yan Zeng; Gerbrand Ceder

Learning and Controlling Silicon Dopant Transitions in Graphene Using Scanning Transmission Electron Microscopy 使用扫描透射电子显微镜学习并控制石墨烯中的硅掺杂过渡

ADVANCED MATERIALS INTERFACES

IF4.4

2025-05-20

OAAI

Schwarzer, M; Farebrother, J; Greaves, J; Cubuk, ED; Agarwal, R; Courville, A; Bellemare, MG; Kalinin, S; Mordatch, I; Castro, PS; Roccapriore, KM

Predicting emergence of crystals from amorphous precursors with deep learning potentials 预测具有深度学习潜力的非晶前驱体中晶体的出现

NATURE COMPUTATIONAL SCIENCE

IF18.3

2024-12-18

OAAI

Aykol, Muratahan; Merchant, Amil; Batzner, Simon; Wei, Jennifer N.; Cubuk, Ekin Dogus

Efficient Exploratory Synthesis of Quaternary Cesium Chlorides Guided by In Silico Predictions

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY

IF15.6

2024-10-16

OAAI

Miura, Akira; Aykol, Muratahan; Kozaki, Shumma; Moriyoshi, Chikako; Kobayashi, Shintaro; Kawaguchi, Shogo; Lee, Chul-Ho; Wang, Yongming; Merchant, Amil; Batzner, Simon; Kageyama, Hiroshi; Tadanaga, Kiyoharu; Kohli, Pushmeet; Cubuk, Ekin Dogus

Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials

ACS OMEGA

IF4.3

2024-02-21

OAAI

Phuthi, Mgcini Keith; Yao, Archie Mingze; Batzner, Simon; Musaelian, Albert; Guan, Pinwen; Kozinsky, Boris; Cubuk, Ekin Dogus; Viswanathan, Venkatasubramanian

Scaling deep learning for materials discovery 扩展深度学习以实现材料发现

NATURE

IF48.5

2023-11-29

210

OAAI

Merchant, Amil; Batzner, Simon; Schoenholz, Samuel S.; Aykol, Muratahan; Cheon, Gowoon; Cubuk, Ekin Dogus

End-to-end differentiability and tensor processing unit computing to accelerate materials' inverse design

NPJ COMPUTATIONAL MATERIALS

IF11.9

2023-07-13

OAAI

Liu, Han; Liu, Yuhan; Li, Kevin; Zhao, Zhangji; Schoenholz, Samuel S. S.; Cubuk, Ekin D. D.; Gupta, Puneet; Bauchy, Mathieu

Toward self-organizing low-dimensional organic-inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces

MRS BULLETIN

IF4.9

2023-02-22

PREAI

Yang, Jonghee; Kalinin, Sergei V.; Cubuk, Ekin D.; Ziatdinov, Maxim; Ahmadi, Mahshid

Learning molecular dynamics: predicting the dynamics of glasses by a machine learning simulator

MATERIALS HORIZONS

IF10.7

2023-01-01

OAAI

Liu, Han; Huang, Zijie; Schoenholz, Samuel S.; Cubuk, Ekin D.; Smedskjaer, Morten M.; Sun, Yizhou; Wang, Wei; Bauchy, Mathieu

Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime 小数据体制下加速电池材料设计的机器学习建模

ADVANCED ENERGY MATERIALS

IF26

2022-06-29

OAAI

Sendek, Austin D.; Ransom, Brandi; Cubuk, Ekin D.; Pellouchoud, Lenson A.; Nanda, Jagjit; Reed, Evan J.

partial derivativePV: An end-to-end differentiable solar-cell simulator

COMPUTER PHYSICS COMMUNICATIONS

IF3.4

2022-03-01

OAAI

Mann, Sean; Fadel, Eric; Schoenholz, Samuel S.; Cubuk, Ekin D.; Johnson, Steven G.; Romano, Giuseppe

Designing self-assembling kinetics with differentiable statistical physics models

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

IF9.1

2021-03-02

OAAI

Goodrich, Carl P.; King, Ella M.; Schoenholz, Samuel S.; Cubuk, Ekin D.; Brenner, Michael P.

Unveiling the predictive power of static structure in glassy systems (vol 16, pg 448, 2020)

NATURE PHYSICS

IF18.4

2020-04-16

OAAI

Bapst, V.; Keck, T.; Grabska-Barwinska, A.; Donner, C.; Cubuk, E. D.; Schoenholz, S. S.; Obika, A.; Nelson, A. W. R.; Back, T.; Hassabis, D.; Kohli, P.

Unveiling the predictive power of static structure in glassy systems 揭示玻璃系统中静态结构的预测能力

NATURE PHYSICS

IF18.4

2020-04-06

243

PREAI

Bapst, V; Keck, T.; Grabska-Barwinska, A.; Donner, C.; Cubuk, E. D.; Schoenholz, S. S.; Obika, A.; Nelson, A. W. R.; Back, T.; Hassabis, D.; Kohli, P.

Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data 筛选数十亿固体锂离子导体候选者: 小数据的迁移学习方法

JOURNAL OF CHEMICAL PHYSICS

IF3.1

2019-06-03

109

PREAI

Cubuk, Ekin D.; Sendek, Austin D.; Reed, Evan J.

Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials 机器学习辅助发现固体锂离子导电材料

CHEMISTRY OF MATERIALS

IF7

2018-11-21

232