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

no code implementations • 8 Aug 2023 • Ji Wei Yoon, Adithya Kumar, Pawan Kumar, Kedar Hippalgaonkar, J Senthilnath, Vijila Chellappan

For the subset of highly conductive samples, we employed a second ML model (regression model), to predict their conductivities, yielding an impressive test R2 value of 0. 984.

Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques

no code implementations • 12 Nov 2014 • S. N. Omkar, Dheevatsa Mudigere, J Senthilnath, M. Vijaya Kumar

Most of the traditional techniques require a model structure to be defined apriori and in case of helicopter dynamics, this is difficult due to its complexity and the interplay between various subsystems. To overcome this difficulty, non-parametric approaches are commonly adopted for helicopter system identification.