[HTML][HTML] Efficacy of the finite element analysis in assessing the effects of light curing on the mechanical properties of direct restorative composites: A systematic review

E Pineda-Vélez, PK Yadalam… - Journal of Clinical and …, 2024 - pmc.ncbi.nlm.nih.gov
Background Previous studies have identified the effects of light curing techniques on both
shrinkage strain and contraction stress buildup in composite restorations. Finite Element …

A neural network finite element method for contact mechanics

C Goodbrake, S Motiwale, MS Sacks - Computer Methods in Applied …, 2024 - Elsevier
Computational biomechanical models of organ systems utilizing the finite element (FE)
method have been extensively applied to the study of normal and pathophysiological …

Structural constitutive models for soft biological tissues and biomaterials: the role of mechanical interactions

S Motiwale, MS Sacks - Mechanics of Soft Materials, 2025 - Springer
In this review, we explore the development of the structural constitutive models for soft
biological tissues and biomaterials, focusing on the role of mechanical interactions. Soft …

A neural network finite element approach for high speed cardiac mechanics simulations

S Motiwale, W Zhang, R Feldmeier… - Computer Methods in …, 2024 - Elsevier
Comprehensive image-based computational modeling pipelines are being actively
developed for high-fidelity patient-specific cardiac simulations. However, conventional …

High-speed high-fidelity cardiac simulations using a neural network finite element approach

S Motiwale, W Zhang, MS Sacks - … on Functional Imaging and Modeling of …, 2023 - Springer
A comprehensive image-based computational modelling pipeline is required for high-fidelity
patient-specific cardiac simulations. However, traditional simulation methods are a limitation …

Interpretable data‐driven modeling of hyperelastic membranes

V Salamatova, A Liogky - International Journal for Numerical …, 2023 - Wiley Online Library
We proposed an approach for interpretable data‐driven modeling of an isotropic
incompressible hyperelastic membrane deformation. The approach is based on the …

Image-based machine learning supporting surgical mitral annuloplasty ring sizing—a four-dimensional perspective

MK Rausch, S Grundmann, P Libera… - European Journal of …, 2023 - academic.oup.com
Since the first introduction by Carpentier [1] in 1983, a multitude of annuloplasty rings made
by different manufacturers has entered the market and is used in almost every surgical mitral …

A physics preserving neural network based approach for constitutive modeling of isotropic fibrous materials

N Parvez, J Merson - Engineering with Computers, 2024 - Springer
We develop a new neural network based material model for discrete fibrous materials that
strictly enforces constitutive constraints such as polyconvexity, frame-indifference, and the …

Generative hyperelasticity with physics-informed probabilistic diffusion fields

V Taç, MK Rausch, I Bilionis, F Sahli Costabal… - Engineering with …, 2024 - Springer
Many natural materials exhibit highly complex, nonlinear, anisotropic, and heterogeneous
mechanical properties. Recently, it has been demonstrated that data-driven strain energy …

Data-Driven Anisotropic Biomembrane Simulation Based on the Laplace Stretch

A Liogky, V Salamatova - Computation, 2024 - mdpi.com
Data-driven simulations are gaining popularity in mechanics of biomaterials since they do
not require explicit form of constitutive relations. Data-driven modeling based on neural …