Somesh Mohapatra @pikulsomesh
PhD-MBA Candidate at MIT - Designing macromolecules using deep learning and simulations in the former, and learning to scale and commercialize in the latter! :) someshmohapatra.in MIT, Cambridge Joined January 2010-
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Trying to add my wife’s Model 3 to my current Tesla insurance and the VIN shows up as not valid. @elonmusk @Tesla anything that I can do so that the app recognizes another Tesla VIN?
Excited for our work on property predictions in deconstructable pDCPD thermosets to finally be out in @ACSCentSci ! 🖥️ 🧪 ♻️ Check it out at shorturl.at/tCLO5 Big thanks to the entire team! @pikulsomesh @johnsonchem @RGBLabMIT #cleantech #sustainability
First paper of my PhD out in @digital_rsc ! We show the utility of mining domain-focused chemistry datasets for generative modelling. doi.org/10.1039/D3DD00… @RGBLabMIT
Our new paper in @Nature with @sanatkk and @TomislavRovis, and Eugene Chen reports a new method that compatibilizes immiscible mixed plastics. So happy to contribute to this collaboration and excited about the future potential. nature.com/articles/s4158…
NOW >4K DOWNLOADS!🥳'#Chemistry-informed #macromolecule graph representation for similarity #computation.........' by @pikulsomesh Joyce An and @RGBLabMIT @AIHealthMIT @mit_dmse - bit.ly/3s5LVp7 #compchem #machinelearning #compbio #materials #openscience #AI #graphs #HPC
Check out our new article in @ACSCentSci! Thermal half-lives of azobenzene derivatives: virtual screening based on intersystem crossing using a machine learning potential. Work done with Eugene Shakhnovich and @RGBLabMIT. #compchem #physics #drugdiscovery pubs.acs.org/doi/full/10.10…
Excited to have this pre-print out of my and @pikulsomesh 's work on using ensemble models for property prediction in deconstructable thermosets! Very grateful to have had the opportunity to collaborate with and learn so much from people at the interface of materials and ML!
Excited to have this pre-print out of my and @pikulsomesh 's work on using ensemble models for property prediction in deconstructable thermosets! Very grateful to have had the opportunity to collaborate with and learn so much from people at the interface of materials and ML!
🚨 New paper alert 🚨 Check out a pre-print of our recent work in collaboration with the Gomez-Bombarelli group @mit_dmse using machine learning models for accelerated additive discovery in reprocessable thermosets ♻️ chemrxiv.org/engage/chemrxi… @_alfa_ya @pikulsomesh
Here's an embedding of all drugs that entered clinical trials for last 60 years. You can see that molecules have been getting bigger and becoming more similar.

RGB Lab @ MIT @RGBLabMIT
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