DOE OSTI · 2462990
BeyondFingerprinting: AI-guided discovery of robust materials & processes
Abstract
BeyondFingerprinting was a 2021-2024 Sandia Grand Challenge LDRD exploring the potential to develop new resilient materials and manufacturing processes by taking an artificial-intelligence (AI)-guided approach that integrates human-subject-matter expertise with algorithms enriched with physics-based constraints to unearth process-structure-property correlations. Such algorithms, trained on high-throughput experiments and simulations, are shown to serve as surrogate models that efficiently detect key “fingerprints” in materials data, prognose material performance, and guide effective process improvements. To accelerate broader adoption across mission areas, this AI-guided approach was demonstrated with three complex process-centric exemplars: electroplating, physical vapor deposition, and laser powder bed fusion. Together, these exemplars impact nearly every hardware component relevant to DOE and NNSA national security missions.
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Boyce, Brad, Dingreville, Rémi Philippe Michel, Adams, David P., Martinez, Carianne, Fowler, James Elliott, Pillars, Jamin Ryan, Wixom, Ryan R., Moffat, Harry K., Davis, Warren Leon, Ackerman, Sarah, Speed, Ann Elizabeth, Garland, Anthony, Roberts, Scott Alan, Coleman, Jonathan Joseph, DelRio, Frank William, Cillessen, Dale, Carroll, Jay D., Najm, Habib N., Curry, John Francis, Johnson, Kyle Leslie, Dudley, Sarah Kim, Addamane, Sadhvikas Jayachandra, Henriksen, Amelia, Custer, Joyce Olsen, Wentz, Jacqueline Margaret, Desai, Saaketh, Bassett, Kimberly Lundberg, Shilt, Troy Patrick, Walker, Elise, Kalaswad, Matias, Shrivastava, Ankit, Babuska, Tomas Farley, Kottwitz, Matthew, Fitzgerald, Kaitlynn, Actor, Jonas, Das, Niladri, Bianco, Nathan Robert, Watkins, Tylan, Dorman, Kyle Rhys, Jones, Reese Edward, Khalil, Mohammad. 2024-09-01. BeyondFingerprinting: AI-guided discovery of robust materials & processes. https://doi.org/10.2172/2462990
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