Vijila Chellappan

According to our database, Vijila Chellappan authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers.

Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan

Knowl. Based Syst., 2024

2023

Transfer Learning of Full Molecular Weight Distributions via High-Throughput Computer-Controlled Polymerization.

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

J. Chem. Inf. Model., August, 2023

Explainable machine learning to enable high-throughput electrical conductivity optimization of doped conjugated polymers.

Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J. Senthilnath, Vijila Chellappan

CoRR, 2023

2022

Transfer Learning for Rapid Extraction of Thickness from Optical Spectra of Semiconductor Thin Films.

Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj, Yuanhang Cheng, Daniil Bash, Felipe Oviedo, J. Senthilnath, Vijila Chellappan, Yee-Fun Lim, Armin G. Aberle, Benjamin P. MacLeod, Fraser G. L. Parlane, Curtis P. Berlinguette, Qianxiao Li, Tonio Buonassisi, Zhe Liu

CoRR, 2022