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

Multi-objective synthesis optimization and kinetics of a sustainable terpolymer

by Tan, Jin Da, Low, Andre Kai Yuan, Thoi, Shannon Rui Ying, Tan, Sze Yu, Zhao, Wenguang, Lim, Yee-Fun, Li, Qianxiao, Khan, Saif A., Ramalingam, Balamurugan, Hippalgaonkar, Kedar
Published 2025

Stable and highly emissive infrared Yb-doped perovskite quantum cutters engineered by machine learning

by Jing, Yao, Low, Andre Kai Yuan, Liu, Yun, Feng, Minjun, Lim, Melvin Jia Wei, Rehman, Quadeer, Mathews, Nripan, Hippalgaonkar, Kedar, Sum, Tze Chien, Bruno, Annalisa, Mhaisalkar, Subodh Gautam
Published 2025

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