A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder
Traditional linear subspace reduced order models (LS-ROMs) are able to accelerate
physical simulations in which the intrinsic solution space falls into a subspace with a small …
physical simulations in which the intrinsic solution space falls into a subspace with a small …
Multiscale modeling of the neuromuscular system: coupling neurophysiology and skeletal muscle mechanics
Mathematical models and computer simulations have the great potential to substantially
increase our understanding of the biophysical behavior of the neuromuscular system. This …
increase our understanding of the biophysical behavior of the neuromuscular system. This …
Reduced order models for Lagrangian hydrodynamics
As a mathematical model of high-speed flow and shock wave propagation in a complex
multimaterial setting, Lagrangian hydrodynamics is characterized by moving meshes …
multimaterial setting, Lagrangian hydrodynamics is characterized by moving meshes …
Component-wise reduced order model lattice-type structure design
S McBane, Y Choi - Computer methods in applied mechanics and …, 2021 - Elsevier
Lattice-type structures can provide a combination of stiffness with light weight that is
desirable in a variety of applications. Design optimization of these structures must rely on …
desirable in a variety of applications. Design optimization of these structures must rely on …
Efficient nonlinear manifold reduced order model
Traditional linear subspace reduced order models (LS-ROMs) are able to accelerate
physical simulations, in which the intrinsic solution space falls into a subspace with a small …
physical simulations, in which the intrinsic solution space falls into a subspace with a small …
S-OPT: A points selection algorithm for hyper-reduction in reduced order models
While projection-based reduced order models can reduce the dimension of full order
solutions, the resulting reduced models may still contain terms that scale with the full order …
solutions, the resulting reduced models may still contain terms that scale with the full order …
Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition
Abstract The Rayleigh-Taylor instability is a classical hydrodynamic instability of great
interest in various disciplines of science and engineering, including astrophysics …
interest in various disciplines of science and engineering, including astrophysics …
Investigating the spatial resolution of EMG and MMG based on a systemic multi-scale model
While electromyography (EMG) and magnetomyography (MMG) are both methods to
measure the electrical activity of skeletal muscles, no systematic comparison between both …
measure the electrical activity of skeletal muscles, no systematic comparison between both …
[HTML][HTML] Advances in flexible multibody dynamics of human musculoskeletal systems
GUO Jianqiao, W Yanbing, T Qiang, REN Gexue… - 力学进展, 2022 - lxjz.cstam.org.cn
The human system consists of bones, skeletal muscles, and joints, so the system model in
mechanics is a typical flexible multi-body system. The study on musculoskeletal multi-body …
mechanics is a typical flexible multi-body system. The study on musculoskeletal multi-body …
Data-scarce surrogate modeling of shock-induced pore collapse process
Understanding the mechanisms of shock-induced pore collapse is of great interest in
various disciplines in sciences and engineering, including materials science, biological …
various disciplines in sciences and engineering, including materials science, biological …