• Skip to primary navigation
  • Skip to main content
  • About Us
    • Facilities
  • Research
  • Group Members
  • Collaborations
    • Publications
  • Position Available
  • News
  • Contact Us
    • Photo Gallery

Microstructural Engineering of Structural and Active Materials

Texas A&M University College of Engineering

John Broucek

jbroucek@tamu.edu

Google Scholar
LinkedIn

Education

B.S.

  • Texas A&M University
  • Dates Attended: 2018-2022
  • Major: Aerospace Engineering

Awards

  • 2023 SMART Scholar
  • 2023 AZZ Inc Fellow

Publications

Feature Publications

  • Zadeh, S. H., Behbahanian, A., Broucek, J., Fan, M., Vazquez, G., Noroozi, M., … & Arroyave, R. (2023).
    An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys. Computational Materials Science, 226, 112225.

Press Releases

  • Ph.D. candidate gets golden ticket for future employment

Conference Presentations

  • AI-Guided Accelerated Discovery of Multi-Principal Element Multi-Functional Alloys, Materials Genome Initiative (MGI) Principal Investigators Meeting, June 2022 Machine learning-assisted discovery of high temperature multi-component shape memory alloys, The Minerals, Metals & Materials Society (TMS) Conference, March 2023

© 2016–2025 Microstructural Engineering of Structural and Active Materials Log in

Texas A&M Engineering Experiment Station Logo
  • College of Engineering
  • Facebook
  • Twitter
  • State of Texas
  • Open Records
  • Risk, Fraud & Misconduct Hotline
  • Statewide Search
  • Site Links & Policies
  • Accommodations
  • Environmental Health, Safety & Security
  • Employment