Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Wesley Reinhart is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Projects
- 1 Active
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Collaborative Research: HDR DSC: Infusion of data science and computation into engineering curricula
Napolitano, R., Pavlak, G., Solnosky, R., Jebelli, H., Hu, Y., Reinhart, W., Kimel, R. A. & Brown, N.
10/1/21 → 9/30/24
Project: Research project
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Comparing forward and inverse design paradigms: A case study on refractory high-entropy alloys
Debnath, A., Raman, L., Li, W., Krajewski, A. M., Ahn, M., Lin, S., Shang, S., Beese, A. M., Liu, Z. K. & Reinhart, W. F., Sep 14 2023, In: Journal of Materials Research. 38, 17, p. 4107-4117 11 p.Research output: Contribution to journal › Article › peer-review
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Displacement-based structural identification using differentiable physics
Rahnamay Farnod, B., Reinhart, W. F. & Napolitano, R. K., Oct 15 2023, In: Engineering Structures. 293, 116632.Research output: Contribution to journal › Article › peer-review
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WIP: Enhancing Workforce Development of Data Science Skills within Domain-Specific Programs
Solnosky, R. L., Napolitano, R. & Reinhart, W. F., Jun 25 2023, In: ASEE Annual Conference and Exposition, Conference Proceedings.Research output: Contribution to journal › Conference article › peer-review
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Damage Detection using Physics-based modeling and data-driven optimization
Farnod, B. R., Reinhart, W. F. & Napolitano, R. R., 2022, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2022. Zonta, D., Zonta, D., Glisic, B. & Su, Z. (eds.). SPIE, 1204614. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 12046).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Predicting aggregate morphology of sequence-defined macromolecules with recurrent neural networks
Bhattacharya, D., Kleeblatt, D. C., Statt, A. & Reinhart, W. F., Jun 15 2022, In: Soft matter. 18, 27, p. 5037-5051 15 p.Research output: Contribution to journal › Article › peer-review
16 Scopus citations