Scaling deep learning for materials discovery von Merchant, Amil, Batzner, Simon, Schoenholz, Samuel S., Aykol, Muratahan, Cheon, Gowoon, Cubuk, Ekin Dogus

Volltext

Wide neural networks of any depth evolve as linear models under gradient descent von Lee, Jaehoon, Xiao, Lechao, Schoenholz, Samuel S, Bahri, Yasaman, Novak, Roman, Sohl-Dickstein, Jascha, Pennington, Jeffrey

Volltext

Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error von Faber, Felix A, Hutchison, Luke, Huang, Bing, Gilmer, Justin, Schoenholz, Samuel S, Dahl, George E, Vinyals, Oriol, Kearnes, Steven, Riley, Patrick F, von Lilienfeld, O. Anatole

Volltext

Relationship between local structure and relaxation in out-of-equilibrium glassy systems von Schoenholz, Samuel S., Cubuk, Ekin D., Kaxiras, Efthimios, Liu, Andrea J.

Volltext

Machine learning determination of atomic dynamics at grain boundaries von Sharp, Tristan A., Thomas, Spencer L., Cubuk, Ekin D., Schoenholz, Samuel S., Srolovitz, David J., Liu, Andrea J.

Volltext

Combining Machine Learning and Physics to Understand Glassy Systems von Schoenholz, Samuel S.

Volltext

JAX, M.D. A framework for differentiable physics von Schoenholz, Samuel S, Cubuk, Ekin D

Volltext

Disconnecting structure and dynamics in glassy thin films von Sussman, Daniel M., Schoenholz, Samuel S., Cubuk, Ekin D., Liu, Andrea J.

Volltext

Structural Properties of Defects in Glassy Liquids von Cubuk, Ekin D, Schoenholz, Samuel S, Kaxiras, Efthimios, Liu, Andrea J

Volltext

Programming patchy particles for materials assembly design von King, Ella M, Du, Chrisy Xiyu, Zhu, Qian-Ze, Schoenholz, Samuel S, Brenner, Michael P

Volltext

Designing self-assembling kinetics with differentiable statistical physics models von Goodrich, Carl P., King, Ella M., Schoenholz, Samuel S., Cubuk, Ekin D., Brenner, Michael P.

Volltext

End-to-end differentiability and tensor processing unit computing to accelerate materials’ inverse design von Liu, Han, Liu, Yuhan, Li, Kevin, Zhao, Zhangji, Schoenholz, Samuel S., Cubuk, Ekin D., Gupta, Puneet, Bauchy, Mathieu

Volltext

Stability of jammed packings II: the transverse length scale von Schoenholz, Samuel S, Goodrich, Carl P, Kogan, Oleg, Liu, Andrea J, Nagel, Sidney R

Volltext

Learning molecular dynamics: predicting the dynamics of glasses by a machine learning simulator von Liu, Han, Huang, Zijie, Schoenholz, Samuel S, Cubuk, Ekin D, Smedskjaer, Morten M, Sun, Yizhou, Wang, Wei, Bauchy, Mathieu

Volltext

Nonlinear sigma models with compact hyperbolic target spaces von Gubser, Steven, Saleem, Zain H., Schoenholz, Samuel S., Stoica, Bogdan, Stokes, James

Volltext

Predicting plasticity with soft vibrational modes: from dislocations to glasses von Rottler, Jörg, Schoenholz, Samuel S, Liu, Andrea J

Volltext

End-to-End Differentiable Reactive Molecular Dynamics Simulations Using JAX von Kaymak, Mehmet Cagri, Schoenholz, Samuel S., Cubuk, Ekin D., O’Hearn, Kurt A., Merz Jr, Kenneth M., Aktulga, Hasan Metin

Volltext

Message Passing Neural Networks von Gilmer, Justin, Schoenholz, Samuel S., Riley, Patrick F., Vinyals, Oriol, Dahl, George E.

Volltext

JAX, M.D. A framework for differentiable physics This article is an updated version of: Schoenholz S and Cubuk E D 2020 JAX MD: a framework for differentiable physics Advances in N... von Schoenholz, Samuel S, Cubuk, Ekin D

Volltext

Relationship between local structure and relaxation in out-of-equilibrium glassy systems von Schoenholz, Samuel, Cubuk, Ekin, Kaxiras, Efthimios, Liu, Andrea

Volltext