Isaac Tamblyn
5PUBLICATIONS
16CO-AUTHORS
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Publications (5)
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|Jul 17, 2024
Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approach.Olivier Malenfant-Thuot, Kevin Ryczko, Isaac Tamblyn
|Jul 13, 2023
Themed collection on Insightful Machine Learning for Physical Chemistry.Aurora E Clark, Pavlo O Dral, Isaac Tamblyn
|Jun 01, 2022
High-Throughput Evaluation of Emission and Structure in Reduced-Dimensional Perovskites.Husna Anwar, Andrew Johnston, Suhas Mahesh
|Nov 25, 2021
Golem: an algorithm for robust experiment and process optimization.Matteo Aldeghi, Florian Häse, Riley J Hickman
|Apr 25, 2019
Extensive deep neural networks for transferring small scale learning to large scale systems.Kyle Mills, Kevin Ryczko, Iryna Luchak
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Frequent Collaborators
1 joint publications
Kyle Mills
1 joint publications
Kevin Ryczko
1 joint publications
Chris Beeler
1 joint publications
Matteo Aldeghi
1 joint publications
Florian Häse
1 joint publications
Riley J Hickman
1 joint publications
Alán Aspuru-Guzik
1 joint publications
Andrew Johnston
1 joint publications
Kamalpreet Singh
1 joint publications
Oleksandr Voznyy
