Dr. Kangming Li is an assistant professor in the Materials Science andApplied Physics Department at KAUST with expertise in computationalmaterials modeling. He uses multiscale atomistic modeling to studymaterials across different length and time scales with the aim to discovernovel inorganic solid-state compounds for advanced materials and energysolutions. After earning his doctorate in physics at the Paris-SaclayUniversity in 2021, Kangming began a postdoctoral fellowship under theguidance of Professor Jason Hattrick-Simpers in the Department ofMaterials Science and Engineering at University of Toronto. He was awardedthe Dalla Torre Medal by the French Society for Metallurgy and Materials in2022 for his work on understanding magnetic effects on thermodynamicsand kinetics in concentrated alloys. Li’s current research project involvesaccelerating the design of corrosion resistant, high-entropy alloys bycombining machine learning with high-throughput first-principlescalculations. His work is published in top tier journals, including NatureCommunications, Matter and NPJ Computational Materials.​

Professor Li specializes in integrating artificial intelligence with computationalmodeling to enable and accelerate autonomous research in the physicalsciences. His work emphasizes the creation of robust and efficient machinelearning methodologies for both computational and experimental design.Additionally, he focuses on developing automated workflows and deep learningmodels to accelerate atomistic simulations and enhance materials informatics.His research interests encompass a variety of materials, including structuralmaterials, catalysts, batteries, metal organic frameworks and solar cells.​​