Mathieu Bauchy
@moutmat
Associate Professor at UCLA
ID: 41055378
http://www.lab-paris.com 19-05-2009 04:33:44
150 Tweet
191 Followers
113 Following
If you're interested in the intersection of physics, machine learning, and JAX you might like JAX, M.D., a set of tools to do molecular physics simulations on top of JAX. Spotlight #NeurIPS2020 Wednesday: neurips.cc/virtual/2020/p… Github: github.com/google/jax-md With Ekin Dogus Cubuk.
Using machine learning to identify the structural origin of creep in disordered materials—following the cool softness approach introduced by Ekin Dogus Cubuk and Sam Schoenholz authors.elsevier.com/a/1cs0O_UwYsE%…
Researchers from UCLA led by Mathieu Bauchy, along with other organizations, have used atomic-level computer simulations to suggest a path toward developing stronger, more ductile glass. Read the article: samueli.ucla.edu/ucla-engineers…
Postdoc positions available in my group UC Berkeley Berkeley Engineering Berkeley Mechanical Engineering with details shown below. Please help RT, thank you!
Check out our paper on experimentally quantifying ring statistics in silicate glasses—which is typically hidden from experiments. Great collaboration with Corning Incorporated! advances.sciencemag.org/content/7/28/e…
We are pleased to have Sam Schoenholz Sam Schoenholz from Google Brain as our next physicsmeetsml.org speaker. He'll talk about "JAX MD: A Framework for Differentiable Atomistic Physics". Please tune in on Wed. Sept. 8 at noon US Central time (11am UW-Madison Physics).
Congratulations to many good friends and colleagues receiving awards this afternoon at #icg2022! @EmmaBarney1 Mathieu Bauchy Delia Brauer N M Anoop Krishnan
Congratulations to Wei for his work on balancing strength and toughness in bioactive hybrid materials! pubs.acs.org/doi/10.1021/ac… ACS Nano Nice collaboration with groups of Xing Bengang_ Research Group @ NTU_SG, Peter Kristensen, Mathieu Bauchy, Lars Jensen and Randy Youngman
The last paper from Mikkel Bødker PhD thesis has just been published npj Journals Computational Materials. We inform a machine learning model with info from statistical mechanics to predict the short-range structure of glasses from their composition. DK Frie Forsk.fond rdcu.be/cVfA9