2 citations · 2 across the 5 of their papers we have counts for
5 papers
Fatigue Behavior of High-Entropy Alloys
Shiyi Chen, Xuesong Fan, Hugh Shortt +3
High-entropy alloys (HEAs) refer to alloys composed of five or more elements in equal or near-equal amounts or in an atomic concentration range of 5 to 35 atomic percent (at%). Dif…
Construction of Multi-Dimensional Functions for Optimization of Additive-Manufacturing Process Parameters
Baldur Steingrimsson, Ankur Agrawal, Xuesong Fan +3
The authors present a generic framework for the parameter optimization of additive manufacturing (AM) processes, one tailored to a high-throughput experimental methodology (HTEM).…
Physics-Based Machine Learning Approach for Modeling the Temperature-Dependent Yield Strength of Superalloys
Baldur Steingrimsson, Xuesong Fan, Benjamin Adam +1
In the pursuit of developing high-temperature alloys with improved properties for meeting the performance requirements of next-generation energy and aerospace demands, integrated c…
Physics-Based Machine-Learning Approach for Modeling the Temperature-Dependent Yield Strengths of Medium- or High-Entropy Alloys
Baldur Steingrimsson, Xuesong Fan, Rui Feng +1
Machine learning is becoming a powerful tool to predict temperature-dependent yield strengths (YS) of structural materials, particularly for multi-principal-element systems. Howeve…
Machine Learning and Data Analytics for Design and Manufacturing of High-Entropy Materials Exhibiting Mechanical or Fatigue Properties of Interest
Baldur Steingrimsson, Xuesong Fan, Anand Kulkarni +2
This chapter presents an innovative framework for the application of machine learning and data analytics for the identification of alloys or composites exhibiting certain desired p…