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Recent Publications
Efficient material model parameter optimization in finite element analysis with differentiable physics
Al Hassanieh, S., Reinhart, W. F. & Beese, A. M., May 2025, In: Computational Materials Science. 253, 113828.Research output: Contribution to journal › Article › peer-review
Database of Nonaqueous Proton-Conducting Materials
Cassady, H. J., Martin, E., Liu, Y., Bhattacharya, D., Rochow, M. F., Dyer, B. A., Reinhart, W. F., Cooper, V. R. & Hickner, M. A., Mar 19 2025, In: ACS Applied Materials and Interfaces. 17, 11, p. 16901-16908 8 p.Research output: Contribution to journal › Article › peer-review
Predicting self-assembly of sequence-controlled copolymers with stochastic sequence variation
Curtis, K. A., Statt, A. & Reinhart, W. F., Feb 17 2025, In: Soft matter. 21, 11, p. 2143-2151 9 p.Research output: Contribution to journal › Article › peer-review
Overcoming sparse datasets with multi-task learning as applied to high entropy alloys
Debnath, A. & Reinhart, W. F., Mar 31 2025, In: Machine Learning: Science and Technology. 6, 1, 015046.Research output: Contribution to journal › Article › peer-review
Damage localization using differentiable physics and displacement-based structural identification
Farnod, B. R., Reinhart, W. F. & Napolitano, R. K., Jan 2025, In: Structures. 71, 108142.Research output: Contribution to journal › Article › peer-review
A bio-lattice deep learning framework for modeling discrete biological materials
Kumar, M., Upadhyay, N., Barai, S., Reinhart, W. F. & Peco, C., Apr 2025, In: Journal of the Mechanical Behavior of Biomedical Materials. 164, 106900.Research output: Contribution to journal › Article › peer-review
Predicting the Strength of Composites with Computer Vision Using Small Experimental Datasets
Lai, P. H., Gomez, E. D., Vogt, B. D. & Reinhart, W. F., Apr 7 2025, In: ACS Materials Letters. 7, 4, p. 1503-1511 9 p.Research output: Contribution to journal › Article › peer-review
Analyzing the Impact of Formal Assessment Modalities: Comparative Study in Data Science for Engineering Education
Napolitano, R., Solnosky, R. & Reinhart, W., Jul 1 2025, In: Journal of Civil Engineering Education. 151, 3, 05025001.Research output: Contribution to journal › Article › peer-review
Data-driven evaluation of building materials using Ground Penetrating Radar
Alam, A. N., Reinhart, W. F. & Napolitano, R. K., Oct 15 2024, In: Journal of Building Engineering. 95, 110188.Research output: Contribution to journal › Article › peer-review
Large Language Models as Molecular Design Engines
Bhattacharya, D., Cassady, H. J., Hickner, M. A. & Reinhart, W. F., Sep 23 2024, In: Journal of Chemical Information and Modeling. 64, 18, p. 7086-7096 11 p.Research output: Contribution to journal › Article › peer-review
Design and validation of refractory alloys using machine learning, CALPHAD, and experiments
Li, W., Raman, L., Debnath, A., Ahn, M., Lin, S., Krajewski, A. M., Shang, S., Priya, S., Reinhart, W. F., Liu, Z. K. & Beese, A. M., Jun 2024, In: International Journal of Refractory Metals and Hard Materials. 121, 106673.Research output: Contribution to journal › Article › peer-review
Crystal growth characterization of WSe2 thin film using machine learning
Moses, I. A., Wu, C. & Reinhart, W. F., Jun 2024, In: Materials Today Advances. 22, 100483.Research output: Contribution to journal › Article › peer-review
Quantitative analysis of MoS2 thin film micrographs with machine learning
Moses, I. A. & Reinhart, W. F., Mar 2024, In: Materials Characterization. 209, 113701.Research output: Contribution to journal › Article › peer-review
Transfer learning for multi-material classification of transition metal dichalcogenides with atomic force microscopy
Moses, I. A. & Reinhart, W. F., Dec 1 2024, In: Machine Learning: Science and Technology. 5, 4, 045081.Research output: Contribution to journal › Article › peer-review
Data-Driven Design Space Analysis for Multimaterial Thermoplastic Composites Manufactured by Fused Filament Fabrication
Oturak, S., McKeehan, M., Zawaski, C. & Reinhart, W. F., 2024, (Accepted/In press) In: 3D Printing and Additive Manufacturing.Research output: Contribution to journal › Article › peer-review