Parag Chitnis, Associate Professor, Bioengineering, College of Engineering and Computing (CEC), received funding for the project: “MTEC-23-06-USAMRDC-MultiTopic-105; Tendon and Joint Injury Prevention and Reduction using Wearable Ultrasound Systems.” 

Chemical Reviews published a comprehensive review on electron density-based methods, authored by an international team led by researchers from Japan, Canada, China, and the USA. This review highlights method based on the analysis of electron density topology, a theoretical chemistry concept with practical applications in understanding chemical bonds, reactions, and developing advanced computational materials science methods. The article emphasizes the role of these methods in advancing technology, particularly in electrochemical power sources like batteries. Recent advancements in methods combining electron density topology and machine learning are expected to revolutionize large-scale ab initio simulations.

The National Center for Supercomputing Applications has launched DeltaAI, an advanced AI computing and data resource that will be a companion system to NCSA’s Delta. Funded by nearly $30 million in awards from the U.S. National Science Foundation (NSF) and accessible to researchers across the country through the NSF ACCESS program and the National Artificial Intelligence Research Resource (NAIRR) pilot, DeltaAI will enable scientists and researchers to address the world’s most challenging problems by accelerating complex AI, machine learning and high-performance computing applications running terabytes of data by using state-of-the-art hardware, including the NVIDIA GH200 Grace Hopper Superchip.