Search

6 results in Authors: Yee Fun Lim

Materials Science

Machine Learning and High-Throughput Robust Design of P3HT-CNT Composite Thin Films for High Electrical Conductivity

Daniil Bash, Yongqiang Cai, Chellappan Vijila, Swee Liang Wong, Yang Xu, Pawan Kumar, Jin Da Tan, Anas Abutaha, Jayce Jian Wei Cheng, Yee Fun Lim, Isaac Parker Siyu Tian, Zekun Ren, Wai Kuan Wong, Flore Mekki-Berrada, Jatin Nitin Kumar, Saif Khan, Qianxiao Li, Tonio Buonassisi, Kedar Hippalgaonkar

Version 1 posted 23 November 2020

369

Downloads

Towards a greener electrosynthesis: pairing machine learning and 3D printing for rapid optimisation of anodic trifluoromethylation

Nipun Kumar Gupta, Yilin Guo, Soon Yee Chang, Jing Lin, Zi Hui Jonathan Khoo, Riko I Made, Zi En Ooi, Carina Yi Jing Lim, Chow Hern Lee, M Sivapaalan, Yee-Fun Lim, Edwin Khoo, Lu Wen Feng, Yanwei Lum, Albertus Denny Handoko

Version 1 posted 09 October 2023

225

Downloads

Materials Science

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

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

Version 1 posted 31 August 2023

588

Downloads

Polymer Science

Multi-Objective Synthesis Optimization and Kinetics of a Sustainable Terpolymer

Jin Da Tan, Andre KY Low, Shannon RY Thoi, Sze Yu Tan, Wenguang Zhao, Yee-Fun Lim, Qianxiao Li, Saif A Khan, Balamurugan Ramalingam, Kedar Hippalgaonkar

Version 1 posted 02 July 2024

205

Downloads

1

Citations

Materials Science

An Object-Oriented Framework to Enable Workflow Evolution across Materials Acceleration Platforms

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

Version 2 posted 17 August 2022

332

Downloads

Materials Science

Machine Learning Predicts Conversion and Molecular Weight Distributions in Computer Controlled Polymerization

Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, Jayce Cheng, Yee-Fun Lim, Vijila Chellappan, Saif A. Khan, Jatin Kumar, Kedar Hippalgaonkar

Version 1 posted 14 July 2022

1,157

Downloads

5

Citations