Sharlotte L. B. Kramer

According to our database, Sharlotte L. B. Kramer authored at least 3 papers between 2022 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

Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter.

Rubén Villarreal, Nikolaos N. Vlassis, Nhon N. Phan, Tommie A. Catanach, Reese E. Jones, Nathaniel A. Trask, Sharlotte L. B. Kramer, WaiChing Sun

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