Refereed journal articles

Feel free to email Rachel for a PDF copy of any of these! If you are interested in Rachel’s earlier work prior to founding the ACME group, check out her Google Scholar page!

  1. Wang, X., Loli, J. A., Ulissi, Z. W., de Boer, M. P., Webler, B. A., & Kurchin, R. C. (2025). Constraint Active Search in Process Window Optimization for Powder Feed Directed Energy Deposition. Integrating Materials and Manufacturing Innovation.
  2. Diehl, P., Soneson, C., Kurchin, R. C., Mounce, R., & Katz, D. S. (2025). The Journal of Open Source Software (JOSS): Bringing Open-Source Software Practices to the Scholarly Publishing Community for Authors, Reviewers, Editors, and Publishers. Journal of Librarianship and Scholarly Communication, 12(2), eP18285.
  3. Timmins, A., & Kurchin, R. C. (2024). Addressing accuracy by prescribing precision: Bayesian error estimation of point defect energetics. Journal of Applied Physics, 136(9), 095701.
  4. Tang, J., Jiang, K., Tseng, P.-S., Kurchin, R. C., Porter, L. M., & Davis, R. F. (2024). Thermal stability and phase transformation of α-, κ(ε)-, and γ-Ga2O3 films under different ambient conditions. Applied Physics Letters, 125(9), 092104.
  5. Wang, X., Musielewicz, J., Tran, R., Ethirajan, S. K., Fu, X., Mera, H., Kitchin, J. R., Kurchin, R., & Ulissi, Z. W. (2024). Generalization of Graph-Based Active Learning Relaxation Strategies Across Materials. Machine Learning: Science and Technology, 5(2), 025018.
  6. Kurchin, R. C. (2024). Using Bayesian parameter estimation to learn more from data without black boxes. Nature Reviews Physics, 1–3.