IDAES has released the first open-source version of its next-generation computational framework and model library, created to optimize the design of process systems engineering solutions used to model advanced energy systems.
Machine Learning for Science
Next-Gen Neurodata Standard
Workshop Primes Research Collaborations
CAMERA Pictures Biological Molecules in Motion
The BISICLES ice sheet model uses high performance computing resources at the National Energy Research Scientific Computing Center (NERSC) to systematically examine where the Antarctic Ice Sheet is vulnerable and the resulting potential for large contributions to sea level rise.
Two postdoctoral researchers in the Computational Research Division’s Center for Computational Sciences and Engineering won “best poster” during the recent SIAM-CSE meeting.
A new group in Berkeley Lab’s Computational Research Division (CRD) aims to tap into the lab's expertise in both computing and biosciences, crossing organizational lines to create an integrated team to develop new tools for addressing a range of scientific problems.