Official Twitter for the Gómez-Bombarelli group @MIT_DMSE | We use atomistic simulations and ML for accelerated materials design | Managed by group members
Cambridge, MA
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Our work on "End-To-End Learning of Classical Interatomic Potentials for Benchmarking Anion Polarization Effects in Lithium Polymer Electrolytes" is out now in Chemistry of Materials! pubs.acs.org/doi/10.1021/acs…
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Congratulations to James as he has successfully defended his dissertation on machine learning methods for order and disorder in crystalline materials! 🎉👏 Best wishes to Dr.Damewood on his next journey, we are proud!
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Congratulations to @AxelrodSimon for recently defending his dissertation on accelerating drug discovery with quantum chemistry, machine learning, and molecular dynamics! 🎉🥂 We are proud of you Dr.Axelrod! 👏
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Group members take on the escape rooms! Group 1 successfully got their hands on the diamond from the art gallery💎🖼️. While group 2 earned the ultimate girl scout badge to join the secret society.🔥😎
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This weekend some of our group members braved the cold and enjoyed a winter hike at the Fells!❄️
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Congratulations to our first year @TatemRios for being selected for The MIT School of Engineering Exemplary Mentoring Scholarship!
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Congratulations to recent group alum Daniel Schwalbe-Koda for being selected for the Forbes 30 Under 30 list in science! #ForbesUnder30 forbes.com/30-under-30/2023/…
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MIT just announced the 2023-25 Postdoctoral Fellowship Program for Engineering Excellence.
Seeking leaders who will enhance the diversity of the School of Engineering through research, education, and service, and contribute to excellence in engineering
lnkd.in/emzUr8mc
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