Dr. Arroyave obtained his BS degrees in Mechanical and Electrical Engineering from the Instituto Tecnol?gico y de Estudios Superiores de Monterrey (M?xico) in 1996. He got his MS in Materials Science and Engineering in 2000 and his PhD in Materials Science in 2004 from MIT. After a postdoc at Penn State, he joined the Department of Mechanical Engineering at Texas A&M University in 2006. He is currently a Professor in the Department of Materials Science and Engineering and holds courtesy appointments in the Departments of Mechanical Engineering and Industrial and Systems Engineering
Dr. Arroyave's area of expertise is in the field of computational materials science, with emphasis in computational thermodynamics and kinetics of materials. He and his group use different techniques across multiple scales to predict and understand the behavior of inorganic materials (metallic alloys and ceramics). The techniques range from ab initio methods, classical molecular dynamics, computational thermodynamics as well as phase-field simulations. Dr. Arroyave's group recent focus has been on simulation and data-enabled materials discovery and design in a wide range of contexts, including Additive Manufacturing.
Dr. Arroyave has been co-author of more than 210 publications in peer-reviewed journals, 20 conference proceedings as well as close to 120 conference papers and 100 invited talks in the US and abroad. He is the recipient of several awards, including NSF CAREER Award (2010), TMS Early Career Faculty Fellow (2012, Honorable Mention), TMS Brimacombe Medal (2019), ASM Fellow (2020). He has been named Texas A&M Presidential Impact Fellow (2017) and Texas A&M University System Chancellor EDGES Fellow (2019). Since 2021 he also holds the position of Dean's Research Fellow.
He is an Associate Editor of Materials Letters, Integrating Materials and Manufacturing Innovation (IMMI) and the Journal of Phase Equilibria and Diffusion. He is involved in ASM and TMS, having served as Chair of the ASM Alloy Phase Diagram Committee, Chair of the TMS Functional Materials Division as well as member of the Board of Directors of TMS. He has chaired or co-chaired more than 15 symposia and has been the lead organizer and co-organizer of several international conferences.
- Ph.D. in Materials Science, Massachusetts Institute of Technology - (Cambridge, Massachusetts, United States) 2004
- M.S. in Materials Science and Engineering, Massachusetts Institute of Technology - (Cambridge, Massachusetts, United States) 2000
- B.S. in Mechanical and Electrical Engineering, Monterrey Institute of Technology and Higher Education - (Monterrey, Mexico) 1996
Academic Articles225
- Whitt, A., Seede, R., Ye, J., Elverud, M., Vaughan, M., Elwany, A., Arroyave, R., & Karaman, I. (2023). A process optimization framework for laser direct energy deposition: Densification, microstructure, and mechanical properties of an Fe-Cr alloy. JOURNAL OF MANUFACTURING PROCESSES. 85, 434-449.
- Ye, J., Mahmoudi, M., Karayagiz, K., Johnson, L., Seede, R., Karaman, I., Arroyave, R., & Elwany, A. (2022). Bayesian Calibration of Multiple Coupled Simulation Models for Metal Additive Manufacturing: A Bayesian Network Approach. ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING. 8(1),
- Wilson, N., Willhelm, D., Qian, X., Arroyave, R., & Qian, X. (2022). Batch active learning for accelerating the development of interatomic potentials. COMPUTATIONAL MATERIALS SCIENCE. 208, 111330-111330.
- Willhelm, D., Wilson, N., Arroyave, R., Qian, X., Cagin, T., Pachter, R., & Qian, X. (2022). Predicting Van der Waals Heterostructures by a Combined Machine Learning and Density Functional Theory Approach.. ACS Appl Mater Interfaces. 14(22), 25907-25919.
- Trehern, W., Ortiz-Ayala, R., Atli, K. C., Arroyave, R., & Karaman, I. (2022). Data-driven shape memory alloy discovery using Artificial Intelligence Materials Selection (AIMS) framework. ACTA MATERIALIA. 228, 117751-117751.
Books1
- Agren, J., Arroyave, R., Asta, M., Battaile, C. C., Campbell, C. E., Guest, J. K., ... Voorhees, P. W. (2015). Modeling Across Scales: A Roadmapping Study for Connecting Materials Models and Simulations Across Length and Time Scales. The Minerals, Metals & Materials Society.
Chapters2
- Fowler, D. A., Arroyave, R., Ross, J., Malak, R., & Banerjee, S. (2017). Looking Outwards from the "Central Science": An Interdisciplinary Perspective on Graduate Education in Materials Chemistry. EDUCATIONAL AND OUTREACH PROJECTS FROM THE COTTRELL SCHOLARS COLLABORATIVE: UNDERGRADUATE AND GRADUATE EDUCATION, VOL 1. 65-89. American Chemical Society (ACS).
- Entel, P., Arryave, R., Singh, N., Sokolovskiy, V. V., & Buchelnikov, V. D. (2015). Calculation of Electronic Structure and Field Induced Magnetic Collapse in Ferroic Materials. Karaman, I., Arróyave, R., & Masad, E. (Eds.), Proceedings of the TMS Middle East Mediterranean Materials Congress on Energy and Infrastructure Systems (MEMA 2015). 405-408. Springer Nature.
Conference Papers24
- Kirk, T., Malak, R., & Arroyave, R. (2021). Computational Design of Compositionally Graded Alloys for Property Monotonicity. JOURNAL OF MECHANICAL DESIGN. 143(3),
- Xiang, Z., Fan, M., Tovar, G. V., Trehem, W., Yoon, B., Qian, X., Arroyave, R., & Qian, X. (2021). Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 35(12), 10414-10421.
- Sharar, D. J., Wilson, A. A., Leff, A., Smith, A., Atli, K. C., Elwany, A., Arroyave, R., & Karaman, I. (2020). Additively Manufacturing Nitinol as a Solid-State Phase Change Material. PROCEEDINGS OF THE NINETEENTH INTERSOCIETY CONFERENCE ON THERMAL AND THERMOMECHANICAL PHENOMENA IN ELECTRONIC SYSTEMS (ITHERM 2020), 2020 19th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm). 00, 821-826.
- Chang, C., Patterson, C., Lavadia, C., Fowler, D., & Arroyave, R. (2019). Showcasing Interdisciplinary Capabilities: Employers Perceptions on Reflective ePortfolios. 2019 ASEE Annual Conference & Exposition Proceedings, 2019 ASEE Annual Conference & Exposition Proceedings.
- Chang, C., Allaire, D., Fowler, D., Arryave, R., & Lavadia, C. (2018). Assessing Student Interdisciplinarity: Results from an Interdisciplinary Graduate Program in Science and Engineering Fields. 2018 ASEE Annual Conference & Exposition Proceedings, 2018 ASEE Annual Conference & Exposition Proceedings. 2018-June,
Repository Documents / Preprints4
- Mahmoudi, M., Tapia, G., Karayagiz, K., Franco, B., Ma, J. i., Arroyave, R., Karaman, I., & Elwany, A. (2018). Multivariate Calibration and Experimental Validation of a 3D Finite Element Thermal Model for Laser Powder Bed Fusion Metal Additive Manufacturing.
- Ghoreishi, S. F., Molkeri, A., Srivastava, A., Arroyave, R., & Allaire, D. (2018). Multi-Information Source Fusion and Optimization to Realize ICME: Application to Dual Phase Materials.
- Attari, V., Ghosh, S., Thien, D., & Arroyave, R. (2018). On the interfacial phase growth and vacancy evolution during accelerated electromigration in Cu/Sn/Cu microjoints.
- Abu-Odeh, A., Galvan, E., Kirk, T., Mao, H., Chen, Q., Mason, P., Malak, R., & Arroyave, R. (2017). Exploration of the High Entropy Alloy Space as a Constraint Satisfaction Problem.
Books1
- (2016). Proceedings of the TMS Middle East Mediterranean Materials Congress on Energy and Infrastructure Systems (MEMA 2015). Springer International Publishing.
- NSF Grant Supports Texas A&M's Acquisition Of High Performance Computing Platform Texas A&M Today August 7, 2020
- Texas A&M team develops guidelines for 3D printing of martensitic steel Green Car Congress April 20, 2020
Patents2
- Monroe, J. A., Karaman, I., & Arroyave, R. (2020). Controlled thermal coefficient product system and method.
- Monroe, J. A., Karaman, I., & Arroyave, R. (2020). Systems and methods for tailoring coefficients of thermal expansion between extreme positive and extreme negative values.
Principal Investigator11
- NRT-DESE: Data-Enabled Discovery and Design of Energy Materials awarded by National Science Foundation 2015 - 2021
Co-Principal Investigator15
- Materials and Manufacturing Processes for the Army of the Future awarded by DOD-Army-Research Laboratory 2019 - 2020
- MEEN491 Hnr-research Instructor
- MEEN491 Research Instructor
- MEEN684 Professional Internship Instructor
- MEEN684 Professional Internship Instructor
- MEEN684 Professional Internship Instructor
- Villarreal, Ruben (2020-04). Navigating the Energy Landscape of Martensitic Transformations. (Doctoral Dissertation)
- Villarreal, Ruben (2020-05). Navigating the Energy Landscape of Martensitic Transformations. (Doctoral Dissertation)
- Kunselman, Courtney Jo (2020-02). Semi-supervised Learning Approaches to Class Assignment in Ambiguous Microstructures. (Master's Thesis)
- Kunselman, Courtney Jo (2020-05). Semi-supervised Learning Approaches to Class Assignment in Ambiguous Microstructures. (Master's Thesis)
- Karayagiz, Kubra (2019-08). Multi-Scale Multi-Physics Modeling of Laser Powder Bed Fusion Additive Manufacturing. (Doctoral Dissertation)