Lawrence Livermore National Laboratory (LLNL) is offering the opportunity to collaborate in accelerating artificial intelligence (AI) for applied science, including research in key areas such as advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.
Accelerating U.S. Economic Competitiveness
The Innovation and Partnerships Office serves as a focal point for LLNL engagement with industry. Whether by technology commercialization, encouraging entrepreneurship, or via laboratory business development activities, our mission is to grow the economy by advancing the development and commercialization of scientific discoveries. Our goal is to identify new economic opportunities and solutions and transfer those to the private sector through licensing or partnerships for the benefit of the US economy.
Patents & Copyrights
~ 300 copyright assertions in last 5 yrs
The Lawrence Livermore National Laboratory Surface Complexation Database Converter (SCDC) is a R-based script that creates a unified dataset of surface complexation experimental data with respective parameters and results. To provide context, it is commonly understood in the data science community that gathering and cleansing data can take up to 80% of the time in analytics - with the remaining 20% being the actual analysis. This script turns the 80% process of data cleansing into a more seemless, time efficient process.
|~400 active licenses||~50 active CRADAs and ACTs|
|~150 active MTAs||~500 NDAs per year|