Samuel, T. K., Berry, M. W., & Maeder, J. M. (2025). Using Natural Language Techniques to Enhance Vocabulary Comprehension. IntechOpen EBooks. https://doi.org/10.5772/intechopen.1012399
Samuel, T. K., Rogers, G., Milton, S., Skjellum, A., Renfro, M., Cawood, C., Sloane, M. E., Oelgoetz, J., Lowe, R. E., McEvily, G., Wakefield, N., Fleming, R., Currie, D., & Qian, L. (2025). Creating a Regional Computing Model for Research and Education in Tennessee: Challenges, Experiences, and Benefits Thus Far. 1–8. https://doi.org/10.1145/3708035.3736004
Crosby, L., Speyer, G., & Brazil, M. (2025). NSF Cross-Institutional Research Engagement Network. https://doi.org/10.6084/m9.figshare.29646710.v1
Chakravorty, D., Samuel, T. K., Perez, L. M., Brashear, W., Liu, H., Gray, H., Janes, S., Fidelis Ngang, Miller, S., Lewis, B., Lars Koesterke, & Rajiv Malkan. (2025). Exploring the Role of Academics, Research and Workforce Development in Establishing Research Computing Collaborations. 1–4. https://doi.org/10.1145/3708035.3736085
Chakravorty, D., Brashear, W., Janes, S., Tabitha Kripa Samuel, Zottola, R., Fidelis Ngang, Miller, S., Perez, L. M., & Liu, H. (2024). BRICCs: Building Pathways to Research Cyberinfrastructure at Under Resourced Institutions. https://doi.org/10.1145/3626203.3670535
E. Uyanga, T. Ochirkhuyag, N. Jargalan, D. Sodkhuu, Zhang, B., Park, J. H., M. Delgermaa, Kh. Odbadrakh, & D. Odkhuu. (2025). Fe2P based alloys as possible rare-earth free permanent magnets. Acta Materialia, 289, 120848–120848. https://doi.org/10.1016/j.actamat.2025.120848
Mize, C. J., Crosby, L. D., Lander, E. K., & Roy, S. (2025). Modeling the subsurface adsorption of atomic oxygen in silver from high vacuum to high pressure. Physical Chemistry Chemical Physics, 27(15), 7816–7825. https://doi.org/10.1039/d5cp00009b
Khongorzul, B., Ochirkhuyag, T., Taivansaikhan, P., Odbadrakh, Kh., & Odkhuu, D. (2025). First-principles study on enhanced magnetocrystalline anisotropy of Fe2P-type alloys. AIP Advances, 15(3). https://doi.org/10.1063/9.0000853
Crosby, L., Speyer, G., & Brazil, M. (2024). A cross-institutional research engagement network for CI facilitators. OPAL (Open@LaTrobe) (La Trobe University). https://doi.org/10.6084/m9.figshare.26756998.v1
Shin, J., Zhao, L., Song, C., Xu, D., Qu, M., Grama, A., & Xu, D. (2024). Integrating ML/AI workflows in a Streaming Data Management and Processing Platform for Building Energy Research. 1–5. https://doi.org/10.1145/3626203.3670599
Practice and Experience in Advanced Research Computing. (2022). https://doi.org/10.1145/3491418
Crosby, L. D., Speyer, G., & Brazil, M. (2024). Cross-Institutional Research Engagement Network (CIREN): Initial Project Goals and Objectives in Support of Training, Mentoring, and Research Facilitation. The Journal of Computational Science Education, 15(1), 57–58. https://doi.org/10.22369/issn.2153-4136/15/1/11
Coulter, E., Knepper, R., Reynolds, R., Bird, S., Samuel, T. K., & Snapp-Childs, W. (2023). Campus Bridging in the Age of COVID-19. Practice and Experience in Advanced Research Computing, 355–358. https://doi.org/10.1145/3569951.3597604
Baig, F., Michels, A., Xiao, Z., Han, S. Y., Padmanabhan, A., Li, Z., & Wang, S. (2022). CyberGIS-Cloud: A unified middleware framework for cloud-based geospatial research and education. Practice and Experience in Advanced Research Computing. https://doi.org/10.1145/3491418.3535148
Practice and Experience in Advanced Research Computing. (2022). https://doi.org/10.1145/3491418
Mize, C. J., Crosby, L. D., Isbill, S. B., & Roy, S. (2022). Insight into Subsurface Adsorption Derived from a Lattice-Gas Model and Monte Carlo Simulations. The Journal of Physical Chemistry C, 126(11), 5343–5353. https://doi.org/10.1021/acs.jpcc.2c00342