Heterogeneous Activation, Local Structure, and Softness in Supercooled Colloidal Liquids von Ma, Xiaoguang, Davidson, Zoey S, Still, Tim, Ivancic, Robert J S, Schoenholz, S S, Liu, A J, Yodh, A G

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Identifying structural flow defects in disordered solids using machine-learning methods von Cubuk, E D, Schoenholz, S S, Rieser, J M, Malone, B D, Rottler, J, Durian, D J, Kaxiras, E, Liu, A J

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A structural approach to relaxation in glassy liquids von Schoenholz, S. S., Cubuk, E. D., Sussman, D. M., Kaxiras, E., Liu, A. J.

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

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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

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Statistical Mechanics of Deep Learning von Bahri, Yasaman, Kadmon, Jonathan, Pennington, Jeffrey, Schoenholz, Sam S, Sohl-Dickstein, Jascha, Ganguli, Surya

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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

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Structure-property relationships from universal signatures of plasticity in disordered solids von Cubuk, E. D., Ivancic, R. J. S., Schoenholz, S. S., Strickland, D. J., Basu, A., Davidson, Z. S., Fontaine, J., Hor, J. L., Huang, Y.-R., Jiang, Y., Keim, N. C., Koshigan, K. D., Lefever, J. A., Liu, T., Ma, X.-G., Magagnosc, D. J., Morrow, E., Ortiz, C. P., Rieser, J. M., Shavit, A., Still, T., Xu, Y., Zhang, Y., Nordstrom, K. N., Arratia, P. E., Carpick, R. W., Durian, D. J., Fakhraai, Z., Jerolmack, D. J., Lee, Daeyeon, Li, Ju, Riggleman, R., Turner, K. T., Yodh, A. G., Gianola, D. S., Liu, Andrea J.

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Understanding Plastic Deformation in Thermal Glasses from Single-Soft-Spot Dynamics von Schoenholz, S. S., Liu, A. J., Riggleman, R. A., Rottler, J.

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Unveiling the predictive power of static structure in glassy systems von Bapst, V., Keck, T., Grabska-Barwińska, 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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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.

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

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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

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

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

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

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

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Author Correction: Unveiling the predictive power of static structure in glassy systems von Bapst, V., Keck, T., Grabska-Barwińska, 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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Structural Properties of Defects in Glassy Liquids von Cubuk, Ekin D, Schoenholz, Samuel S, Kaxiras, Efthimios, Liu, Andrea J

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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.

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