
Prof. Tess Smidt
@tesssmidt
Atomic architect at MIT EECS
ID: 1085291233
http://blondegeek.net 13-01-2013 07:13:57
37 Tweet
1,1K Followers
187 Following


📣 Don't miss this!!! Our third annual Berkeley Lab Research SLAM will be streamed LIVE this Thursday, Sept., 17 at 3p PT. YOU (our virtual audience) will be given the opportunity to select the "People's Choice Award!" More » slam.lbl.gov #LabSLAM2020 LBNL Career Pathways


Woohoo! Go Revathi Jambunathan!!! Can't wait to see you representing the Computing Sciences Area in the #LabSLAM2020.


400 people tuned into the #LabSLAM2020. Good luck to all the finalists! LBNL Career Pathways

"Imagine loosing your GPS signal... in the space..." Revathi Jambunathan Revathi from Berkeley Lab Computing Sciences Area on her super-computer research on pulsars. #LabSLAM2020 Berkeley Lab LBNL Career Pathways


Congrats to Revathi Jambunathan on winning 1st place at the #LabSLAM2020!!!

During this National Postdoc Appreciation Week #NPAW I want to shine a light on my incredibly talented and awesome postdocs Prof. Tess Smidt, Yu-Hang Tang, Mekena, @muammar, Miro Urbanek, lindsaybassman Thom Popovici and Katie Klymko pushing the scientific frontiers Berkeley Lab Computing Sciences Area.


Wohoo - PauliNet, our deep #NeuralNetwork solution of the electronic Schrödinger equation is out in Nature Chemistry. Huge respect for @jhrmnn and Zeno Schätzle for championing this. Deep Quantum Monte Carlo is the future! nature.com/articles/s4155…


Prediction of tunable spin-orbit gapped materials for dark matter detection, Katherine Inzani, Alireza Faghaninia, and Sinéad M. Griffin (Sinéad Griffin) Molecular Foundry Berkeley Lab #materials #darkmatter go.aps.org/3o8e5ua


Excited to see our work on using Euclidean neural networks to find symmetry-implied missing data in Physical Review Research! (Better to tweet late than never?)

We had a special guest in our journal club today! Prof. Tess Smidt gave a great talk on Equivariant Networks. #DeepLearning


Congrats to Yi-Lun Liao on winning 2nd place in the Open Catalysis Challenge at NeurIPS 2022! opencatalystproject.org/challenge.html



🧵(1/6) We propose EquiformerV2 with state-of-the-art results on all OC20 tasks and AdsorbML. Joint work with Brandon Wood , Abhishek Das from FAIR Chemistry and Prof. Tess Smidt . Besides, thank AK for tweeting before. Paper: arxiv.org/abs/2306.12059 Code: github.com/atomicarchitec…



🧵(1/6) We have updated the paper of EquiformerV2 to include more results. Currently, EquiformerV2 is the best model on the large-scale OC20 and OC22 datasets. Joint work with Brandon Wood, Abhishek Das from FAIR Chemistry and Prof. Tess Smidt. Paper: arxiv.org/abs/2306.12059 Code:
