Applying machine learning and optimization to high-throughput experimentation

by Low, Andre Kai Yuan
Published 2021

Mapping pareto fronts for efficient multi-objective materials discovery

by Low, Andre Kai Yuan, Vissol-Gaudin, Eleonore, Lim, Yee-Fun, Hippalgaonkar, Kedar
Published 2024

Harnessing GPT-3.5 for text parsing in solid-state synthesis - case study of ternary chalcogenides

by Thway, Maung, Low, Andre Kai Yuan, Khetan, Samyak, Dai, Haiwen, Recatala-Gomez, Jose, Chen, Andy Paul, Hippalgaonkar, Kedar
Published 2024

Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

by Low, Andre Kai Yuan, Mekki-Berrada, Flore, Gupta, Abhishek, Ostudin, Aleksandr, Xie, Jiaxun, Vissol-Gaudin, Eleonore, Lim, Yee-Fun, Li, Qianxiao, Ong, Yew Soon, Khan, Saif A., Hippalgaonkar, Kedar
Published 2024

An object-oriented framework to enable workflow evolution across materials acceleration platforms

by Leong, Chang Jie, Low, Andre Kai Yuan, Recatala-Gomez, Jose, Velasco, Pablo Quijano, Vissol-Gaudin, Eleonore, Tan, Jin Da, Ramalingam, Balamurugan, Made, Riko I, Pethe, Shreyas Dinesh, Sebastian, Saumya, Lim, Yee-Fun, Khoo, Jonathan Zi Hui, Bai, Yang, Cheng, Jayce Jian Wei, Hippalgaonkar, Kedar
Published 2023