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Daniel Lewis

Texas A&M University

SCHOLARLY PAPERS

4

DOWNLOADS

324

TOTAL CITATIONS

75

Scholarly Papers (4)

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1.

Compositionally Grading Alloy Stacking Fault Energy Using Autonomous Path Planning and Additive Manufacturing with Elemental Powders

Number of pages: 17 Posted: 04 Mar 2025
James Hanagan, Nicole Person, Daniel Salas, Marshall Allen, Wenle Xu, Daniel Lewis, Brady Butler, James Paramore, George M. Pharr, Ibrahim Karaman 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, 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 - 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 121 (596,393)

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Functionally Graded Materials, Additive manufacturing, Laser Directed Energy Deposition, Path Planning Algorithms, Multi-Material Design

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)

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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 76 (860,052)
Citation 2

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high-throughput, Bayesian, refractory, alloy, discovery

4.

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 47 (1,133,231)
Citation 73

Abstract:

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