Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility von Jacobs, Ryan, Schultz, Lane E, Scourtas, Aristana, Schmidt, KJ, Price-Skelly, Owen, Engler, Will, Foster, Ian, Blaiszik, Ben, Voyles, Paul M, Morgan, Dane

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Frameworks: Garden: A FAIR Framework for Publishing and Applying AI Models for Translational Research in Science, Engineering, Education, and Industry von Price Skelly, Owen

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Machine Learning Materials Properties with Accurate Predictions, Uncertainty Estimates, Domain Guidance, and Persistent Online Accessibility von Jacobs, Ryan, Schultz, Lane E, Scourtas, Aristana, Schmidt, KJ, Price-Skelly, Owen, Engler, Will, Foster, Ian, Blaiszik, Ben, Voyles, Paul M, Morgan, Dane

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Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision von Hudson, Nathaniel, Pauloski, J. Gregory, Baughman, Matt, Kamatar, Alok, Sakarvadia, Mansi, Ward, Logan, Chard, Ryan, Bauer, André, Levental, Maksim, Wang, Wenyi, Engler, Will, Skelly, Owen Price, Blaiszik, Ben, Stevens, Rick, Chard, Kyle, Foster, Ian

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Machine Learning Materials Properties with Accurate Predictions, Uncertainty Estimates, Domain Guidance, and Persistent Online Accessibility von Jacobs, Ryan, Schultz, Lane E, Scourtas, Aristana, Schmidt, K J, Price-Skelly, Owen, Engler, Will, Foster, Ian, Blaiszik, Ben, Voyles, Paul M, Morgan, Dane

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Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision von Hudson, Nathaniel, Pauloski, J Gregory, Baughman, Matt, Kamatar, Alok, Mansi Sakarvadia, Ward, Logan, Chard, Ryan, Bauer, André, Levental, Maksim, Wang, Wenyi, Engler, Will, Owen Price Skelly, Blaiszik, Ben, Stevens, Rick, Chard, Kyle, Foster, Ian

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