Texas A&M University will lead a Department of Energy funded Energy Frontier Research Center. The center will focus on Reconfigurable Electronic Materials Inspired by the Nonlinear Neuron Dynamics (REMIND) initiative to transform computing to behave more like a human brain.
Texas A&M Engineering will help translate fundamental research results to the marketplace and generate economic value as a founding partner of the National Science Foundation's Southwest Innovation Corps Hub.
Dr. Ulisses Braga-Neto received a National Science Foundation grant in collaboration with the Texas A&M Institute of Data Science and Aalto University, Finland, to develop a probabilistic framework for scientific machine learning.
Three high school students from around the state of Texas spent their summer working under Dr. Arum Han in the Texas A&M University NanoBio Systems Laboratory as part of a U.S. Army Educational Outreach Program High School Apprenticeship Program.
Texas A&M University researchers built a unique device that directs light on a quantum level to reduce signal distortion in spectroscopic images so the biomechanical details of structures inside living cells and tissues are more easily identified.