We also find that previously-parameterized classical potentials model two separate anion polarization states that drastically influence resulting lithium solvation and transference.
25.02.2025 20:01 — 👍 0 🔁 0 💬 0 📌 0
A schematic of AutoBADDIE's workflow.
We introduce a low-data ML framework to predict classical interatomic potentials, showing strong agreement with experimental findings and DFT polymer backbone energy barriers. We use orders of magnitude less DFT training. All thanks to chemistry-informed symmetry and charge regularization terms.
25.02.2025 20:00 — 👍 0 🔁 0 💬 1 📌 0
22.01.2025 15:31 — 👍 1 🔁 0 💬 0 📌 0
Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
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Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
彭嘉宇 (he/him) | Assistant Professor @UBuffalo | Data-driven design of materials and interfaces for 🤖 + ⚛️ →⚡ + 🧪 | ubwp.buffalo.edu/jiayu-peng-lab/
Molecular simulations and AI for proteins!
PhD student @ MIT
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Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
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www.kevinpgreenman.com
Generative models for chemistry and materials science
Currently PhD student at ETH Zürich
Previously Dunia, MIT, EPFL, RWTH Aachen
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