FEM@LLNL | Bayesian Inversion of an Acoustic-Gravity Model for Predictive Tsunami Simulation

(1:2:15)

Bayesian (finite element) model updating - Part 1

(1:3:32)

FEM@LLNL | New Avenues in Computational Fluid Dynamics

(1:1:50)

FEM@LLNL | A Data Driven Finite Element Exterior Calculus

(1:11:33)

FEM@LLNL | Space-Time Hybridizable Discontinuous Galerkin with MFEM

(59:45)

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(2:7:20)

DDPS | Neural Differentiable Physics

(1:28:24)

DDPS | “The Weak Form Is Stronger Than You Think”

(1:4:36)

Permanent Magnet Simulation with Elmer FEM (Tutorial)

(33:24)

17. Bayesian Statistics

(1:18:5)

Bayesian Flow Networks

(3:6:21)

3.3 - Bayesian Networks

(10:42)

Bayesian Network | Introduction and Workshop

(24:22)

Accelerating FEM with ML: an introduction to the Integrated Finite Element Neural Network

(51:53)

How We’re Fooled By Statistics

(7:38)

FEM@LLNL | Efficient Techniques for Fluid Structure Interaction

(1:6:34)

FEM@LLNL | An Efficient and Effective FEM Solver for Diffusion Equation with Strong Anisotropy

(47:35)

FEM@LLNL | Using High-Order Element-based Galerkin Methods to Capture Hurricane Intensification

(1:8:32)

FEM@LLNL | A Full-Wave Electromagnetic Simulator for Frequency-Domain S-Parameter Calculations

(57:9)

FEM@LLNL | R-Adaptive Mesh Optimization to Enhance Finite Element Basis Compression

(1:23:21)

FEM@LLNL | Unifying the Analysis of Geometric Decomposition in FEEC

(1:14:55)

FEM@LLNL | Designing Conservative and Accurately Dissipative Numerical Integrators in Time

(55:33)

FEM@LLNL | An Overview of ExaConstit and Its Use in the ExaAM Project

(1:2:42)

FEM@LLNL | Supercharging Programming Through Compiler Technology

(59:28)