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E

Ekin D. Cubuk

Google DeepMind

50H-index
147Paper Count
2.0WCitation Count
Published Papers 27
Publication Date
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Author Correction: An autonomous laboratory for the accelerated synthesis of inorganic materials
errNature
IF48.5
err2026-01-19
err0
errOAAI
errNathan 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
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Learning and Controlling Silicon Dopant Transitions in Graphene Using Scanning Transmission Electron Microscopy
errADVANCED MATERIALS INTERFACES
IF4.4
err2025-05-20
err0
errOAAI
errSchwarzer, M; Farebrother, J; Greaves, J; Cubuk, ED; Agarwal, R; Courville, A; Bellemare, MG; Kalinin, S; Mordatch, I; Castro, PS; Roccapriore, KM
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errSave
Predicting emergence of crystals from amorphous precursors with deep learning potentials
errNATURE COMPUTATIONAL SCIENCE
IF18.3
err2024-12-18
err0
errOAAI
errAykol, Muratahan; Merchant, Amil; Batzner, Simon; Wei, Jennifer N.; Cubuk, Ekin Dogus
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errSave
Efficient Exploratory Synthesis of Quaternary Cesium Chlorides Guided by In Silico Predictions
errJOURNAL OF THE AMERICAN CHEMICAL SOCIETY
IF15.6
err2024-10-16
err0
errOAAI
errMiura, 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
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Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
errACS OMEGA
IF4.3
err2024-02-21
err1
errOAAI
errPhuthi, Mgcini Keith; Yao, Archie Mingze; Batzner, Simon; Musaelian, Albert; Guan, Pinwen; Kozinsky, Boris; Cubuk, Ekin Dogus; Viswanathan, Venkatasubramanian
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errSave
Scaling deep learning for materials discovery
errNATURE
IF48.5
err2023-11-29
err210
errOAAI
errMerchant, Amil; Batzner, Simon; Schoenholz, Samuel S.; Aykol, Muratahan; Cheon, Gowoon; Cubuk, Ekin Dogus
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End-to-end differentiability and tensor processing unit computing to accelerate materials' inverse design
errNPJ COMPUTATIONAL MATERIALS
IF11.9
err2023-07-13
err2
errOAAI
errLiu, Han; Liu, Yuhan; Li, Kevin; Zhao, Zhangji; Schoenholz, Samuel S. S.; Cubuk, Ekin D. D.; Gupta, Puneet; Bauchy, Mathieu
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errSave
Toward self-organizing low-dimensional organic-inorganic hybrid perovskites: Machine learning-driven co-navigation of chemical and compositional spaces
errMRS BULLETIN
IF4.9
err2023-02-22
err6
PREAI
errYang, Jonghee; Kalinin, Sergei V.; Cubuk, Ekin D.; Ziatdinov, Maxim; Ahmadi, Mahshid
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errSave
Learning molecular dynamics: predicting the dynamics of glasses by a machine learning simulator
errMATERIALS HORIZONS
IF10.7
err2023-01-01
err5
errOAAI
errLiu, Han; Huang, Zijie; Schoenholz, Samuel S.; Cubuk, Ekin D.; Smedskjaer, Morten M.; Sun, Yizhou; Wang, Wei; Bauchy, Mathieu
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errSave
Machine Learning Modeling for Accelerated Battery Materials Design in the Small Data Regime
errADVANCED ENERGY MATERIALS
IF26
err2022-06-29
err48
errOAAI
errSendek, Austin D.; Ransom, Brandi; Cubuk, Ekin D.; Pellouchoud, Lenson A.; Nanda, Jagjit; Reed, Evan J.
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errSave
partial derivativePV: An end-to-end differentiable solar-cell simulator
errCOMPUTER PHYSICS COMMUNICATIONS
IF3.4
err2022-03-01
err3
errOAAI
errMann, Sean; Fadel, Eric; Schoenholz, Samuel S.; Cubuk, Ekin D.; Johnson, Steven G.; Romano, Giuseppe
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errSave
Designing self-assembling kinetics with differentiable statistical physics models
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2021-03-02
err34
errOAAI
errGoodrich, Carl P.; King, Ella M.; Schoenholz, Samuel S.; Cubuk, Ekin D.; Brenner, Michael P.
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errSave
Unveiling the predictive power of static structure in glassy systems (vol 16, pg 448, 2020)
errNATURE PHYSICS
IF18.4
err2020-04-16
err2
errOAAI
errBapst, 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.
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errSave
Unveiling the predictive power of static structure in glassy systems
errNATURE PHYSICS
IF18.4
err2020-04-06
err243
PREAI
errBapst, 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.
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errSave
Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data
errJOURNAL OF CHEMICAL PHYSICS
IF3.1
err2019-06-03
err109
PREAI
errCubuk, Ekin D.; Sendek, Austin D.; Reed, Evan J.
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errSave
Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials
errCHEMISTRY OF MATERIALS
IF7
err2018-11-21
err232
PREAI
errSendek, Austin D.; Cubuk, Ekin D.; Antoniuk, Evan R.; Cheon, Gowoon; Cui, Yi; Reed, Evan J.
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errSave
Machine learning determination of atomic dynamics at grain boundaries
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2018-10-09
err79
errOAAI
errSharp, Tristan A.; Thomas, Spencer L.; Cubuk, Ekin D.; Schoenholz, Samuel S.; Srolovitz, David J.; Liu, Andrea J.
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errSave
A Comparative Ab Initio Study of Anhydrous Dehydrogenation of Linear-Chain Alcohols on Cu(110)
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2018-03-27
err24
errOAAI
errChen, Wei; Cubuk, Ekin Dogus; Montemore, Matthew M.; Reece, Christian; Madix, Robert J.; Friend, Cynthia M.; Kaxiras, Efthimios
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errSave
Implanted neural network potentials: Application to Li-Si alloys
errPHYSICAL REVIEW B
IF3.7
err2018-03-20
err69
PREAI
errOnat, Berk; Cubuk, Ekin D.; Malone, Brad D.; Kaxiras, Efthimios
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errSave
Disconnecting structure and dynamics in glassy thin films
errPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
IF9.1
err2017-09-19
err92
errOAAI
errSussman, Daniel M.; Schoenholz, Samuel S.; Cubuk, Ekin D.; Liu, Andrea J.
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
Y
Yi Cui
H-index: 253 · Papers: 1.1K
G
Gerbrand Ceder
H-index: 166 · Papers: 1.1K
S
Sergei V. Kalinin
H-index: 109 · Papers: 1.6K
E
Efthimios Kaxiras
H-index: 106 · Papers: 934
D
David J. Srolovitz
H-index: 104 · Papers: 733
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