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Douglas Allaire

Texas A&M University

SCHOLARLY PAPERS

3

DOWNLOADS

134

TOTAL CITATIONS

59

Scholarly Papers (3)

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1.

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 79 (809,932)

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

2.

Data-Driven Insights into Composition–Property Relationships in FCC High-Entropy Alloys

Number of pages: 10 Posted: 25 Aug 2025
Nicolas Flores, Daniel Salas, Wenle Xu, Sahu Bibhu, Daniel Lewis, Alexandra Eve Salinas, Samantha Mitra, Raj Mahat, Surya R. Kalidindi, Justin W. Wilkerson, James Paramore, Ankit Srivastiva, George M. Pharr, Douglas Allaire, Ibrahim Karaman, Brady Butler, Vahid Attari 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 - Department of Materials Science and Engineering, Texas A&M University, Texas A&M University, Georgia Institute of Technology, Georgia Institute of Technology, Georgia Institute of Technology, 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, Texas A&M University - Department of Materials Science and Engineering, Texas A&M University, Texas A&M University - Department of Materials Science and Engineering and Texas A&M University - Department of Materials Science and Engineering
Downloads 44 (1,133,231)
Citation 59

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mechanical properties, Modeling, Nanoindentation, High-Entropy Alloys, Machine learning

3.

Towards Autonomous Experimentation: Bayesian Optimization over Problem FormulationSpace for Accelerated Alloy Development

Number of pages: 13 Posted: 01 May 2026
Joseph Wagner, Douglas Allaire, Danial Khatamsaz, Brent Vela and R. Arroyave
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 and Texas A&M University - Department of Materials Science and Engineering
Downloads 11 (1,534,404)

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Autonomous Design, Bayesian Materials Discovery and Development, Optimal Problem formulation, Alloy Development, Refractory High Entropy Alloys