Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga. But unlike most recent hires from universities, he switched from research…
LLNL joins Human Vaccines Project to accelerate vaccine development and understanding of immune response
LLNL will lend its expertise in vaccine research—most recently from designing new antibodies and antiviral drugs for COVID-19—and computing resources to the Human Vaccines Project consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response.
A new version of the Energy Exascale Earth System Model (E3SM) is two times faster than its earlier version released in 2018. E3SM2 was released to the broader scientific community in September. The project is supported by the DOE's Office of Science in the Biological and Environmental Research Office.
The Center for Applied Scientific Computing and Data Science Institute welcomed a new academic partner to the 2021 Data Science Challenge program: the University of California Riverside campus. The intensive program has run for three years with UC Merced, and it tasks students with addressing a real-world scientific problem using data science techniques.