Isaac Tamblyn

Scopus Author ID ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Machine Learning

Raman Spectroscopy

Top Venues

Journal of physics. Condensed matter : an Institute of Physics journal

Chemical science

The Journal of chemical physics

Physical chemistry chemical physics : PCCP

This page only lists publications with an associated author ORCID identifier.

Publications

Olivier Malenfant-Thuot, Kevin Ryczko, Isaac Tamblyn, Michel Cote
Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approach. Journal of physics. Condensed matter : an Institute of Physics journal (2024)
Olivier Malenfant-Thuot, Kevin Ryczko, Isaac Tamblyn, Michel Côté
Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approach. Journal of physics. Condensed matter : an Institute of Physics journal 36 (42) (2024)
Olivier Malenfant-Thuot, Kevin Ryczko, Isaac Tamblyn, Michel Côté
Efficient determination of Born-effective charges, LO-TO splitting, and Raman tensors of solids with a real-space atom-centered deep learning approach. Journal of physics. Condensed matter : an Institute of Physics journal 36 (42) (2024)
Aurora E Clark, Pavlo O Dral, Isaac Tamblyn, Oleksandr Isaev
Themed collection on Insightful Machine Learning for Physical Chemistry. Physical chemistry chemical physics : PCCP (2023)
Husna Anwar, Andrew Johnston, Suhas Mahesh, Kamalpreet Singh, Zhibo Wang, Douglas A Kuntz, Isaac Tamblyn, Oleksandr Voznyy, Gilbert G Privé, Edward H Sargent
High-Throughput Evaluation of Emission and Structure in Reduced-Dimensional Perovskites. ACS central science 8 (5) (2022)
Conrard Giresse Tetsassi Feugmo, Kevin Ryczko, Abu Anand, Chandra Veer Singh, Isaac Tamblyn
Neural evolution structure generation: High entropy alloys. The Journal of chemical physics 155 (4) (2021)
Matteo Aldeghi, Florian Häse, Riley J Hickman, Isaac Tamblyn, Alán Aspuru-Guzik
Golem: an algorithm for robust experiment and process optimization. Chemical science 12 (44) (2021)
Stephen Whitelam, Daniel Jacobson, Isaac Tamblyn
Evolutionary reinforcement learning of dynamical large deviations. The Journal of chemical physics 153 (4) (2020)
Kyle Mills, Kevin Ryczko, Iryna Luchak, Adam Domurad, Chris Beeler, Isaac Tamblyn
Extensive deep neural networks for transferring small scale learning to large scale systems. Chemical science 10 (15) (2019)