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Trevor Hastings

Texas A&M University - Department of Materials Science and Engineering

SCHOLARLY PAPERS

3

DOWNLOADS

293

TOTAL CITATIONS

2

Scholarly Papers (3)

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1.

Visualizing High Entropy Alloy Spaces: Methods and Best Practices

Number of pages: 23 Posted: 10 Jun 2024
Brent Vela, Trevor Hastings and R. Arroyave
Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering and Texas A&M University - Department of Materials Science and Engineering
Downloads 138 (530,816)

Abstract:

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Visualization Methods, High Entropy Alloys, Machine Learning, Data Science, Optimization

2.

Accelerated Multi-Objective Alloy Discovery Through Efficient Bayesian Methods: Application to the FCC High Entropy Alloy Space

Number of pages: 20 Posted: 04 Apr 2025
Trevor Hastings, Mrinalini Mulukutla, Danial Khatamsaz, Daniel Salas, Wenle Xu, Daniel Lewis, Nicole Person, Matthew Skokan, Braden Miller, James Paramore, Brady Butler, Douglas Allaire, Vahid Attari, Ibrahim Karaman, George M. Pharr, Ankit Srivastava and R. Arroyave
Texas A&M University - Department of Materials Science and Engineering, Texas A&M University, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University, Texas A&M University, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering and Texas A&M University - Department of Materials Science and Engineering
Downloads 80 (809,932)

Abstract:

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Bayesian Optimization, Materials Discovery, high-throughput, Multi-Objective Optimization, Machine learning

3.

Two-Shot Optimization of Compositionally Complex Refractory Alloys

Number of pages: 23 Posted: 28 Oct 2024
James Paramore, Trevor Hastings, Brady Butler, Michael Hurst, Daniel Lewis, Eli Norris, Benjamin Barkai, Joshua Cline, Braden Miller, Jose Cortes, Ibrahim Karaman, George Pharr and R. Arroyave
Texas A&M University - Department of Materials Science and Engineering, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University and Texas A&M University - Department of Materials Science and Engineering
Downloads 75 (860,052)
Citation 2

Abstract:

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high-throughput, Bayesian, refractory, alloy, discovery