Karan Shah @ReKarantNetwork
Curious (more so confused) grad student. PhD @CASUSscience, prev. @Roblox, @GeorgiaTech & @Livermore_Lab. I ∈ {Science ∩ ML}. karan.sh Dresden, DE Joined July 2015-
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🚀 In a preprint with @ReKarantNetwork on electron dynamics simulations, we've accelerated state-of-the-art time-dependent #DFT using #NeuralOperators. #MachineLearning #compchem #ICML2024 @helmholtz_ai @HZDR_Dresden @CASUSscience @icmlconf doi.org/10.48550/arXiv…
I am pleased to announce that our new research group website is now online. Check it out: sites.google.com/view/mlmd/ Keep up to date on our research activities in #MachineLearning for #Materials and stay tuned for more news. #compchem #compphys #theochem #condmat #AI
Great new work by @ReKarantNetwork @AttilaCangi @opsimaths et al @UCMChemistry @UCMerced_NatSci @HZDR_Dresden @CASUSscience @helmholtz_ai- 'Inverting the Kohn–Sham equations with #physics-informed #machinelearning'-iopscience.iop.org/article/10.108… #PINNs #compchem #DFT #materials #HPC #AI
Density functional theory is powerful, but finding the right exchange-correlation (XC) potential is tricky. Our new paper with @ucmerced explores how #AI can solve this fundamental problem. #compchem @HZDR_Dresden @CASUSscience @helmholtz_ai @IOPPublishing tinyurl.com/ys4apd4c
In our preprint we explore how #NeuralNetworks are used for inverting the Kohn-Sham equations of #DensityFunctionalTheory. #materialsscience #compchem #machinelearning @HZDR_Dresden @CASUSscience @ucmerced @helmholtz_ai @ReKarantNetwork @arxiv arxiv.org/abs/2312.15301
Excited to share our new book chapter in the @SpringerNature book series Challenges and Advances in #compchem and #physics: #MachineLearning for Static and Dynamic #ElectronicStructureTheory. #CondMat #MatSci @HZDR_Dresden @CASUSscience doi.org/10.1007/978-3-…
Thanks for the interview @CASUSscience! casus.science/news/casus-new…
We are excited to announce that the Data Science Education Community of Practice (DSECOP) project has been featured in an article published in APS News on April 13, 2023. See the article here: buff.ly/3UReROc
Learnt a lot at #OpenScienceRetreat2023 and met some great people. We compiled a list of applications of Large Language Models towards Open Science. Living document here: wuqui.github.io/llms-and-open-… wip with @alvorithm @wuqui_ et al Thanks @HeidiBaya for organising it! @CASUSscience
Learnt a lot at #OpenScienceRetreat2023 and met some great people. We compiled a list of applications of Large Language Models towards Open Science. Living document here: wuqui.github.io/llms-and-open-… wip with @alvorithm @wuqui_ et al Thanks @HeidiBaya for organising it! @CASUSscience
Thanks to #DPG for organizing a great #SKM2023 Spring Meeting . My group's research at @HZDR_Dresden and @CASUSscience on #MachineLearning and #materialsscience is featured in the following talks and poster. It is not too late to catch us for a discussion at @tudresden_de.
This is my .bashrc
Michael Scott predicting autoregressive LLMs in 2009
Michael Scott predicting autoregressive LLMs in 2009
NaN
my quantum mechanics exam
Gifts to expect from your nerd boyfriend 🌻 @ReKarantNetwork "A smiling elephant standing on a sunflower" @weirddalle @OpenAI @Dalle #dalle2
Density functional approximation.
Generative and Discriminative networks
Generative and Discriminative networks
Enjoyed the first day of Helmholtz AI Conference 2022! @CASUSscience @helmholtz_ai #AI #ML #HelmholtzAIcon 2022
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