Lawrence Livermore National Laboratory: Accelerating Material Characterization: Machine Learning Meets X-Ray Absorption Spectroscopy
May 11, 2024
May 11, 2024
LIVERMORE, California, May 11 (TNSres) -- The U.S. Department of Energy's Lawrence Livermore National Laboratory issued the following news on May 10, 2024:
Lawrence Livermore National Laboratory (LLNL) scientists have developed a new approach that can rapidly predict the structure and chemical composition of heterogeneous materials.
In a new study in ACS Chemistry of Materials, LLNL scientists Wonseok Jeong and Tuan Anh Pham developed a new approach that combines machin . . .
Lawrence Livermore National Laboratory (LLNL) scientists have developed a new approach that can rapidly predict the structure and chemical composition of heterogeneous materials.
In a new study in ACS Chemistry of Materials, LLNL scientists Wonseok Jeong and Tuan Anh Pham developed a new approach that combines machin . . .