2 citations · 2 across the 3 of their papers we have counts for
4 papers
Active Learning Discovery of High Temperature Oxidation Resistant Refractory Complex Concentrated Alloys
Akhil Bejjipurapu, Sharmila Karumuri, Joseph C. Flanagan +5
Refractory complex concentrated alloys (RCCAs) are of significant interest for advanced high-temperature applications, owing to their broad compositional range and potential for at…
Machine learning descriptors for predicting the high temperature oxidation of refractory complex concentrated alloys
Akhil Bejjipurapu, Alejandro Strachan, Kenneth H. Sandhage +1
Refractory Complex Concentrated Alloys (RCCAs) can exhibit exceptional high-temperature strength, making such alloys promising candidates for high-temperature structural applicatio…
A collaborative digital twin built on FAIR data and compute infrastructure
Thomas M. Deucher, Juan C. Verduzco, Michael Titus +1
The integration of machine learning with automated experimentation in self-driving laboratories (SDL) offers a powerful approach to accelerate discovery and optimization tasks in s…
Mass uptake during oxidation of metallic alloys: literature data collection, analysis, and FAIR sharing
Saswat Mishra, Sharmila Karumuri, Vincent Mika +6
The area-normalized change of mass (m/A) with time during the oxidation of metallic alloys is commonly used to assess oxidation resistance. Analyses of such data can also aid in…