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Nuclear Engineering Research Recognized

composite image of chemistry bubbles and cubes

09/21/2022
By Sanjeev Manohar

Stephen Lam, Ph.D., Assistant Professor, Chemical Engineering Department, has developed a new method combining deep learning artificial intelligence and quantum chemistry to predict solvation thermodynamics in molten salt with unprecedented speed and accuracy. This enables researchers to exploit supercomputing power to predict the fundamental forces that drive thermal properties and corrosion, which could help enable advanced nuclear power, solar and energy storage technologies that utilize salt to efficiently store and transfer heat at high temperatures.

This work is featured on the cover of the Journal Chemical Science.