Physics-Guided, Empirically-Constrained Machine Learning for Designing Fe-9Cr Alloys
V. Romanov (2020) "Physics-Guided, Empirically-Constrained Machine Learning for Designing Fe-9Cr Alloys" - [...]
Domain-Guided ML Tool for Designing New Fe-9Cr Steels
V. Romanov (2020) "Domain-Guided ML Tool for Designing New Fe-9Cr Steels" - [...]
Materials Discovery and Design Using Heritage Data
A.K. Verma, J.A. Hawk, V. Romanov, J.L.W. Carter (2019) "Materials Discovery and [...]
Data Management with DOE FE’s Energy Data eXchange (EDX)
Madison Wenzlick, Chad Rowan, Kelly Rose, Ram Devanathan, Jen Bauer, Jeffrey Hawk. [...]
Overview XMAT- National Laboratory Collaboration: Accelerating the Development of Extreme Environment Materials
Jeffrey Hawk, David Alman, “Overview XMAT- National Laboratory Collaboration: Accelerating the Development [...]
Discussion Group: Oxidation-Modeling Strategies
Rishi Pillai, “Discussion Group: Oxidation-Modeling Strategies.” eXtremeMAT Workshop, Los Alamos National Laboratory, [...]
Coupling Physics in Materials Data Analytics
Dongwon Shin, “Coupling Physics in Materials Data Analytics.” eXtremeMAT Workshop, Los Alamos [...]
Database Assessment and Connection with CALPHAD
Michael Gao, “Database Assessment and Connection with CALPHAD.” eXtremeMAT Workshop, Los Alamos [...]
Preliminary Engineering Scale Simulations with a Reduced Order Model Material in MOOSE
Stephanie Pitts, “Preliminary Engineering Scale Simulations with a Reduced Order Model Material [...]
Mechanical Evaluation and Microstructural Characterization of Tubular Test Specimens Under Internal Pressurization
Edgar Lara-Curzio, “Mechanical Evaluation and Microstructural Characterization of Tubular Test Specimens Under [...]