Hasnain Sajid’s work appears in J Phys Chem C!
Hasnain’s innovative work on the training and effective use of Machine-Learning Interatomic Potentials for Water Adsorption studies in MOFs has been accepted to J Phys Chem C. The work demonstrates how MLIPs produce better results that empirical models while also being much more efficient than models trained to be more general-purpose. The work will help us explore new materials for adsorption-based energy storage.