MIT: AI Method Radically Speeds Predictions of Materials' Thermal Properties
July 17, 2024
July 17, 2024
CAMBRIDGE, Massachusetts, July 17 (TNSres) -- The Massachusetts Institute of Technology issued the following news:
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The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
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By Adam Zewe, MIT News
It is estimated that about 70 percent of the energy generated worldwide ends up as waste heat.
If scientists could better predict ho . . .
* * *
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
* * *
By Adam Zewe, MIT News
It is estimated that about 70 percent of the energy generated worldwide ends up as waste heat.
If scientists could better predict ho . . .