Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics
Work
Year: 2020
Type: article
Abstract: High fidelity (HF) mathematical models describing the generation of active force in the cardiac muscle tissue typically feature a large number of state variables to capture the intrinsically complex u... more
Cites: 109
Cited by: 57
Related to: 10
FWCI: 4.961
Citation percentile (by year/subfield): 99.99
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $4,840
Funder European Research Council
Grant ID 740132