Browse this site's news, projects, and people highlights via any of the topics in the dropdown list or below each content description.
Alkemi
Simulation workflows for ALE methods often require a manual tuning process. We are developing novel predictive analytics for simulations and an infrastructure for integration of analytics.
AIMS
AIMS (Analytics and Informatics Management Systems) develops integrated cyberinfrastructure for Earth system data discovery, analytics, simulations, and knowledge innovation.
SOAR
SOAR (Stateless, One-pass Adaptive Refinement) is a view-dependent mesh refinement and rendering algorithm.
LLNL-led study uses machine learning, veterans’ health records to identify ALS drug-repurposing candidate
By combining causal-inference methods with machine learning, researchers evaluated 162 medications to identify drugs prescribed for other conditions that were associated with meaningful differences in survival.
Livermore Computing: accelerating excellence in high performance computing
To learn more about the work taking place at Livermore Computing and the potential this has for a wide range of real-world applications, The Innovation Platform spoke to LLNL’s Deputy for High Performance Computing, Judy Hill.
LLNL, Meta co-develop groundbreaking polymer-chemistry dataset for training AI models
In a pioneering partnership to accelerate materials discovery with AI, researchers from LLNL and Meta have created the world’s largest open dataset of atomistic polymer chemistry.
