research
∙
07/23/2023
Proximal Galerkin: A structure-preserving finite element method for pointwise bound constraints
The proximal Galerkin finite element method is a high-order, nonlinear n...
share
research
∙
11/02/2022
Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Adaptive mesh refinement (AMR) is necessary for efficient finite element...
research
∙
07/13/2022
Learning robust marking policies for adaptive mesh refinement
In this work, we revisit the marking decisions made in the standard adap...
research
∙
03/22/2022
Risk-averse design of tall buildings for uncertain wind conditions
Reducing the intensity of wind excitation via aerodynamic shape modifica...
research
∙
07/23/2021
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer
We develop a novel data-driven approach to modeling the atmospheric boun...
research
∙
02/25/2021
Orbital dynamics of binary black hole systems can be learned from gravitational wave measurements
We introduce a gravitational waveform inversion strategy that discovers ...
research
∙
12/17/2020
A priori error analysis of high-order LL* (FOSLL*) finite element methods
A number of non-standard finite element methods have been proposed in re...
research
∙
04/10/2020
The surrogate matrix methodology: Accelerating isogeometric analysis of waves
The surrogate matrix methodology delivers low-cost approximations of mat...
research
∙
09/08/2019
The surrogate matrix methodology: A reference implementation for low-cost assembly in isogeometric analysis
A reference implementation of a new method in isogeometric analysis (IGA...
research
∙
11/06/2017
