Machine learning models can analyze extensive data to determine the best locations for geothermal drilling, reducing exploration costs. AI-powered drilling technology could make geothermal energy more ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

Machine learning potential (MLP) training for surface reconstruction analyses. (a) Workflow for MLP training and large-scale configuration space searching. (b-c) Molecular dynamics (MD) simulations at ...

RESTON, Va. (KAIT/Edited News Release) - Using a combination of water testing and machine learning, a U.S. Geological Survey-led study estimated between 5 and 19 million tons of lithium reserves are ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...