Month: March 2024

Cheng-Wei’s follow-up paper on our ML-ωPBE functional, titled “Accurate Electronic and Optical Properties of Organic Doublet Radicals Using Machine Learned Range-Separated Functionals” was published in The Journal of Physical Chemistry A! More excitingly, we were selected as the Front Cover of …

Cheng-Wei’s second paper about machine learned range separation parameter was selected as the Front Cover by The Journal of Physical Chemistry A! Read more »

Zhou’s independent contribution to accelerating density functional theory using machine learning was recognized for Sanibel Symposium Dell–Intel Young Investigator Award issued by University of Florida Quantum Yield Project! Thanks to everyone who contributed to these projects! Get to know more recipients here.