An Algebraic Monolithic Method for Volume-coupled Multiphysics Problems.
Abstract not provided.
Ohm, Peter Brian↗
Engineering topics
Cyr, Eric C
Publications and source records attributed to Cyr, Eric C.
An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs.
Abstract not provided.
Cyr, Eric C↗
A Physics-Informed Operator Regression Framework for Extracting Data-Driven Continuum Models.
Abstract not provided.
Patel, Ravi Ghanshyam↗
A Monolithic Algebraic Multigrid Approach for Coupled Multiphysics Problems using the MueLu Framework.
Abstract not provided.
Ohm, Peter Brian↗
Multiscale training for Physics-informed Neural Networks.
Abstract not provided.
Patel, Ravi Ghanshyam↗
A block coordinate descent optimizer for classification problems exploiting convexity.
Abstract not provided.
Gulian, Mamikon↗
Model Parallelism with Spatial Decomposition of Volumetric Data for Deep Learning.
Abstract not provided.
Saavedra, Gary Joseph↗
Thermodynamically consistent physics-informed neural networks for hyperbolic systems.
Abstract not provided.
Manickam, Indu↗
An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs.
Abstract not provided.
Cyr, Eric C↗
Partition of unity networks: data-driven meshfree hp-approximation.
Abstract not provided.
Kookjin, Lee↗
Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures.
Abstract not provided.
Pawlowski, Roger P.↗
Learning continuum-scale models from micro-scale dynamics via Operator Regression.
Abstract not provided.
Patel, Ravi Ghanshyam↗