Advanced Research Directions on AI for Energy

Daniel, Claus; Gehin, Jess C.; Laurin-Kovitz, Kirsten; Morreale, Bryan; Stevens, Rick; Tumas, William; Anitescu, Mihai; Poczatek, Alec; Siegel, Andrew; Som, Sibendu; Vilim, Richard; Grout, Ray; Kroposki, Benjamin; Yue, Meng; Rose, Kelly; Al Rashdan, Ahmad; Ritter, Christopher; Balaprakash, Prasanna; Jain, Prashant; Kuruganti, Teja; Piette, Mary Ann; Hong, Tianzhen; Corley, Court; Rallo, Robert; Grosh, John; Van Essen, Brian; Reno, Matt; Viswanathan, Hari; Alexander, Frank; Dietrich, Emily M.

doi:10.2172/2340139

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DOE OSTI · 2340139

Advanced Research Directions on AI for Energy

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Abstract

This AI for Energy report further details grand challenges that provide significant opportunities for energy applications across nuclear energy, the power grid, carbon management, energy storage, and energy materials over the next decade. The main conclusions and opportunities from this study are available in the Key Findings section of this report.

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Daniel, Claus, Gehin, Jess C., Laurin-Kovitz, Kirsten, Morreale, Bryan, Stevens, Rick, Tumas, William, Anitescu, Mihai, Poczatek, Alec, Siegel, Andrew, Som, Sibendu, Vilim, Richard, Grout, Ray, Kroposki, Benjamin, Yue, Meng, Rose, Kelly, Al Rashdan, Ahmad, Ritter, Christopher, Balaprakash, Prasanna, Jain, Prashant, Kuruganti, Teja, Piette, Mary Ann, Hong, Tianzhen, Corley, Court, Rallo, Robert, Grosh, John, Van Essen, Brian, Reno, Matt, Viswanathan, Hari, Alexander, Frank, Dietrich, Emily M.. 2024-04-01. Advanced Research Directions on AI for Energy. https://doi.org/10.2172/2340139

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