Craig M. Hamel

According to our database, Craig M. Hamel authored at least 4 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Uncertainty quantification of neural network models of evolving processes via Langevin sampling.

Cosmin Safta, Reese E. Jones, Ravi G. Patel, Raelynn Wonnacott, Dan S. Bolintineanu, Craig M. Hamel, Sharlotte L. B. Kramer

CoRR, April, 2025

2022

Modular machine learning-based elastoplasticity: generalization in the context of limited data.

Jan Niklas Fuhg, Craig M. Hamel, Kyle Johnson, Reese E. Jones, Nikolaos Bouklas

CoRR, 2022

Calibrating constitutive models with full-field data via physics informed neural networks.

Craig M. Hamel, Kevin N. Long, Sharlotte L. B. Kramer

CoRR, 2022

2020

Evolutionary Algorithm-Guided Voxel-Encoding Printing of Functional Hard-Magnetic Soft Active Materials.

Shuai Wu, Craig M. Hamel, Qiji Ze, Fengyuan Yang, H. Jerry Qi, Ruike Zhao

Adv. Intell. Syst., 2020