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Leon-Cazares, F.D., Zhou, X., Kagay, B., Sugar, J.D., Alleman, C., Ronevich, J., san Marchi, C., & san Marchi, C. (2024). Hydrogen effects on the deformation and slip localization in a single crystal austenitic stainless steel. International Journal of Plasticity, 180. 10.1016/j.ijplas.2024.104074

Leon-Cazares, F.D., Zhou, X., Alleman, C., Ronevich, J., san Marchi, C., & san Marchi, C. (2024). Hydrogen effects on the deformation behavior of single crystal austenitic stainless steel 316L [Conference Presentation]. 10.2172/2585917

Alleman, C., Carranza, C.H., & Carranza, C.H. (2024). A Framework for Context-Specific Constitutive Model Calibration [Presentation]. 10.2172/2586012

Leon-Cazares, F.D., Zhou, X., Alleman, C., Ronevich, J., san Marchi, C., & san Marchi, C. (2023). Dislocation line tension model to improve understanding of the effects of hydrogen on the deformation of structural materials. 10.2172/2430162

Alleman, C., Carranza, C.H., & Carranza, C.H. (2023). A Framework for Context-Specific Constitutive Model Calibration [Conference Presentation]. 10.2172/2430559

Emery, J.M., Buche, M.R., Su, A.M., Alleman, C., Bomarito, G., Hochhalter, J.D., & Hochhalter, J.D. (2023). Genetic programming for interpretable, data-driven continuum damage models [Conference Presentation]. 10.2172/2430528

Garbrecht, K., Emery, J.M., Alleman, C., Lester, B.T., Bomarito, G., Buche, M.R., Hochhalter, J.D., & Hochhalter, J.D. (2023). Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression [Conference Presentation]. 10.2172/2430652

Leon-Cazares, F.D., Parry, S.C., Kagay, B., Zhou, X., Alleman, C., Ronevich, J., san Marchi, C., & san Marchi, C. (2023). Effect of hydrogen on the deformation of austenitic stainless steels: a stress orientation dependent contribution? [Conference Presentation]. 10.2172/2431721

Birky, D.K., Strauss, N., Hochhalter, J.D., Emery, J.M., Alleman, C., Buche, M.R., & Buche, M.R. (2022). Interpretable machine learning for uncertain, microstructure-dependent constitutive models [Conference Presentation]. 10.2172/2432125

Ronevich, J., san Marchi, C., Alleman, C., Leon-Cazares, F.D., & Leon-Cazares, F.D. (2022). Stress-dependent energy barriers of dislocation reactions: a generalized line tension model [Conference Presentation]. 10.2172/2006416

Buche, M.R., Su, A.M., Narang, H., Emery, J.M., Holchhalter, J.D., Bomarito, G.F., Alleman, C., & Alleman, C. (2022). Genetic programming for interpretable, data-driven continuum damage models [Conference Presentation]. 10.2172/2005385

Alleman, C., Kagay, B., san Marchi, C., Leon-Cazares, F.D., Parry, S.C., & Parry, S.C. (2022). Investigating the microstructural origins of hydrogen effects on deformation and fracture [Conference Presentation]. 10.2172/2005321

Zhou, X., Alleman, C., Kaygay, B., san Marchi, C., & san Marchi, C. (2022). Understanding of Non-Schmid Effects via Molecular Dynamics Study of Fe70Ni10Cr20 Single Crystals [Conference Presentation]. 10.2172/2004377

Birky, D.K., Garbrecht, K., Randall, D., Emery, J.M., Alleman, C., Lester, B.T., Hochhalter, J., & Hochhalter, J. (2022). Physics-informed Machine Learning for Development of Interpretable, Improved Material Damage Models [Conference Presentation]. 10.2172/2003756

Kagay, B., Alleman, C., Talamini, B., san Marchi, C., & san Marchi, C. (2022). Effects of Hydrogen on Deformation Evaluated with EBSD of Single Crystal Austenitic Stainless Steel [Conference Presentation]. 10.2172/2001931

Teichert, G.H., Khalil, M., Alleman, C., Garikipati, K., Jones, R.E., & Jones, R.E. (2022). Sensitivity of void mediated failure to geometric design features of porous metals [Conference Presentation]. International Journal of Solids and Structures. 10.2172/1882104

Michalek, M., Moser, D.R., Rodgers, T.M., Lim, H., Alleman, C., & Alleman, C. (2022). Model Based Control of Microstructure for Additively Manufactured 316L Steel [Conference Poster]. 10.2172/2001883

Birky, D., Zamora, J., Emery, J.M., Alleman, C., Lester, B.T., Hochhalter, J., & Hochhalter, J. (2022). A Data-driven Approach for Improving the Existing Gurson Material Damage Model Using Genetic Programming for Symbolic Regression [Conference Presentation]. 10.2172/2001892

Alleman, C., Phung, B., & Phung, B. (2021). Predicting the yield behavior of polycrystalline aggregates usinga generalized Schmid factor approach [Conference Presentation]. 10.2172/1890914

Zamora, J., Birky, D.K., Emery, J.M., Alleman, C., Lester, B.T., Hochhalter, J., & Hochhalter, J. (2021). Physics-Informed Machine Learning for the Development of Microstructure-Sensitive Deformation and Damage Models in Engineering Applications [Conference Presentation]. 10.2172/1881662

Birky, D.K., Zamora, J., Emery, J.M., Alleman, C., Lester, B.T., Bomarito, G., Hochhalter, J., & Hochhalter, J. (2021). Improved Plasticity and Damage Models By Symbolic Regression of Microscale Finite Element Simulations [Conference Presentation]. 10.2172/1884415

Results 1–25 of 83
Results 1–25 of 83