Ekin D. Cubuk

Google (United States) — United States

Materials Science · Physical Sciences

50h-index19.6kcitations147works10.52yr avg
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Research Topics

Machine Learning in Materials Science(44), Advanced Neural Network Applications(33), Domain Adaptation and Few-Shot Learning(27), Adversarial Robustness in Machine Learning(13), Material Dynamics and Properties(12)

Publications146 total

Computational search for materials having a giant anomalous Hall effect in the pyrochlore and spinel crystal structures
Physical Review Materials·2025
Search for thermodynamically stable ambient-pressure superconducting hydrides in GNoME database
arXiv (Cornell University)·2025Open Access
Force-Field Optimization by End-to-End Differentiable Atomistic Simulation
Journal of Chemical Theory and Computation·2025· 4 cited
Learning and Controlling Silicon Dopant Transitions in Graphene Using Scanning Transmission Electron Microscopy
Advanced Materials Interfaces·2025Open Access
Computational search for materials having a giant anomalous Hall effect in the pyrochlore and spinel crystal structures
arXiv (Cornell University)·2025Open Access
A practical guide to machine learning interatomic potentials – Status and future
Current Opinion in Solid State and Materials Science·2025· 109 citedOpen Access
Predicting emergence of crystals from amorphous precursors with deep learning potentials
Nature Computational Science·2024· 10 citedOpen Access
Efficient Exploratory Synthesis of Quaternary Cesium Chlorides Guided by In Silico Predictions
Journal of the American Chemical Society·2024· 4 citedOpen Access
Force field optimization by end-to-end differentiable atomistic simulation
arXiv (Cornell University)·2024· 1 citedOpen Access
Generative Hierarchical Materials Search
arXiv (Cornell University)·2024· 1 citedOpen Access
The Position Dependence of Electron Beam Induced Effects in 2D Materials with Deep Neural Networks
Microscopy and Microanalysis·2024Open Access
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies
arXiv (Cornell University)·2024· 1 citedOpen Access
Accurate Surface and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials
ACS Omega·2024· 16 citedOpen Access
Generative Hierarchical Materials Search
2024· 1 cited
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
arXiv (Cornell University)·2023Open Access
An autonomous laboratory for the accelerated synthesis of inorganic materials
Nature·2023· 679 citedOpen Access
Scaling deep learning for materials discovery
Nature·2023· 989 citedOpen Access
Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction
arXiv (Cornell University)·2023· 7 citedOpen Access
Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
arXiv (Cornell University)·2023Open Access
Scalable Diffusion for Materials Generation
arXiv (Cornell University)·2023· 23 citedOpen Access
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Frequent Co-authors

Barret Zoph(15), Quoc V. Le(11), Samuel S. Schoenholz(10), Efthimios Kaxiras(8), Colin Raffel(7), Andrea J. Liu(7), Jonathon Shlens(7), Tsung-Yi Lin(6), Kihyuk Sohn(5), David Berthelot(5), Nicholas Carlini(5), А.В. Куракин(5), Han Zhang(5), Justin Gilmer(5), Evan J. Reed(5), Golnaz Ghiasi(5), Austin D. Sendek(4), Raphael Gontijo Lopes(4), Vijay Vasudevan(3), Yin Cui(3)