ArticleEngineering with computers2025
A universal material model subroutine for soft matter systems.
Article in Engineering with computers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- HeartSimSage: Attention-Enhanced Graph Neural Networks for Accelerating Cardiac Mechanics Modeling.Journal of computational physics · 2026Article
- Heart in a knot: unraveling the impact of the nested tori myofiber architecture on ventricular mechanics.Biomechanics and modeling in mechanobiology · 2025Article
- Constitutive neural networks for main pulmonary arteries: discovering the undiscovered.Biomechanics and modeling in mechanobiology · 2025Article
- Tricuspid valve edge-to-edge repair simulations are highly sensitive to annular boundary conditions.Journal of the mechanical behavior of biomedical materials · 2025Article
- Democratizing biomedical simulation through automated model discovery and a universal material subroutine.Computational mechanics · 2025Article
- Temporal geometric mapping defines morphoelastic growth model of Type B aortic dissection evolution.Computers in biology and medicine · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Soft materials play an integral part in many aspects of modern life including autonomy, sustainability, and human health, and their accurate modeling is critical to understand their unique properties and functions. Today's finite element analysis packages come with a set of pre-programmed material models, which may exhibit restricted validity in capturing the intricate mechanical behavior of these materials. Regrettably, incorporating a modified or novel material model in a finite element analysis package requires non-trivial in-depth knowledge of tensor algebra, continuum mechanics, and computer programming, making it a complex task that is prone to human error. Here we design a universal material subroutine, which automates the integration of novel constitutive models of varying complexity in non-linear finite element packages, with no additional analytical derivations and algorithmic implementations. We demonstrate the versatility of our approach to seamlessly integrate innovative constitutive models from the material point to the structural level through a variety of soft matter case studies: a frontal impact to the brain; reconstructive surgery of the scalp; diastolic loading of arteries and the human heart; and the dynamic closing of the tricuspid valve. Our universal material subroutine empowers all users, not solely experts, to conduct reliable engineering analysis of soft matter systems. We envision that this framework will become an indispensable instrument for continued innovation and discovery within the soft matter community at large.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.