Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Fueled by breakthrough technology developments, the biological, biomedical, and
behavioral sciences are now collecting more data than ever before. There is a critical need …
behavioral sciences are now collecting more data than ever before. There is a critical need …
Multiscale modeling meets machine learning: What can we learn?
GCY Peng, M Alber, A Buganza Tepole… - … Methods in Engineering, 2021 - Springer
Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …
biological, biomedical, and behavioral sciences. There can be no argument that this …
Data-driven modeling of the mechanical behavior of anisotropic soft biological tissue
Closed-form constitutive models are currently the standard approach for describing soft
tissues' mechanical behavior. However, there are inherent pitfalls to this approach. For …
tissues' mechanical behavior. However, there are inherent pitfalls to this approach. For …
Propagation of uncertainty in the mechanical and biological response of growing tissues using multi-fidelity Gaussian process regression
A key feature of living tissues is their capacity to remodel and grow in response to
environmental cues. Within continuum mechanics, this process can be captured with the …
environmental cues. Within continuum mechanics, this process can be captured with the …
Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites
In this paper, we investigate the construction and identification of a new random field model
for representing the constitutive behavior of laminated composites. Here, the material is …
for representing the constitutive behavior of laminated composites. Here, the material is …
Uncertainty quantification of parenchymal tracer distribution using random diffusion and convective velocity fields
Background Influx and clearance of substances in the brain parenchyma occur by a
combination of diffusion and convection, but the relative importance of these mechanisms is …
combination of diffusion and convection, but the relative importance of these mechanisms is …
Biotribology of the ageing skin—Why we should care
Ageing of populations has emerged as one of the most pressing societal, economic and
healthcare challenges currently facing most nations across the globe. The ageing process …
healthcare challenges currently facing most nations across the globe. The ageing process …
Spatially-dependent material uncertainties in anisotropic nonlinear elasticity: Stochastic modeling, identification, and propagation
P Chen, J Guilleminot - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
This paper develops a stochastic model for the spatially-dependent material parameters
parameterizing anisotropic strain energy density functions. The construction is cast within …
parameterizing anisotropic strain energy density functions. The construction is cast within …
[图书][B] Stochastic elasticity: a nondeterministic approach to the nonlinear field theory
LA Mihai - 2022 - books.google.com
Stochastic elasticity is a fast developing field that combines nonlinear elasticity and
stochastic theories in order to significantly improve model predictions by accounting for …
stochastic theories in order to significantly improve model predictions by accounting for …