AI method radically speeds predictions of materials’ thermal properties
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
The technique characterizes a material’s electronic properties 85 times faster than conventional methods.
Read More
You must be logged in to post a comment.