Spotlight: Mentoring the Next Generation
For the second year in a row, the DSI teamed up with the University of California at Merced to offer a two-week Data Science Challenge at the beginning of June. The intensive program provided mentors, assignments, virtual tours, and seminars. Under the direction of LLNL’s Marisol Gamboa and UC Merced’s Suzanne Sindi, 21 students worked from their homes through video conferencing and chat programs to develop machine learning (ML) models capable of differentiating potentially explosive materials from other types of molecules.
The UC Merced students were divided into five teams, each led by a...
Spotlight: Materials Science Meets AI
LLNL scientists have taken a step forward in the design of future materials with improved performance by analyzing its microstructure using AI. The work recently appeared in the journal Computational Materials Science.
Technological progress in materials science applications spanning electronic, biomedical, alternate energy, electrolyte, catalyst design, and beyond is often hindered by a lack of understanding of complex relationships between the underlying material microstructure and device performance. But AI-driven data analytics provide opportunities that can accelerate materials design...
