Constitutive-law Modeling of Microfilaments from their Discrete-Structure Simulations - A Method based on an Inverse Approach Applied to a Static Rod Model
Adam R. Hinkle, Sachin Goyal, and Harish J. Palanthandalam-Madapusi

TL;DR
This paper introduces a two-step inverse method to derive constitutive laws for microfilaments from discrete-structure simulations, enabling continuum models to accurately reflect atomistic behaviors without direct experimental measurements.
Contribution
It presents a novel inverse approach combining rod theory and simulation data to estimate constitutive laws from discrete microstructure models.
Findings
Successfully estimated constitutive law from simulation data
Validated the method with independent loading tests
Provided a framework for linking atomistic simulations to continuum models
Abstract
Twisting and bending deformations are crucial to the biological functions of microfilaments such as DNA molecules. Although continuum-rod models have emerged as efficient tools to describe the nonlinear dynamics of these deformations, a major roadblock in the continuum-mechanics-based description of microfilaments is the accurate modeling of the constitutive law, which follows from its atomistic structure and bond-stiffnesses. Since first-principle derivation of the constitutive law from atomistic structure is impractical and so are direct experimental measurements due to the small length-scales, a natural alternative is to estimate the constitutive law from discrete-structure simulations such as molecular-dynamics (MD) simulations. In this paper, we present a two-step inverse method for estimating the constitutive law using rod theory and data generated from discrete-structure…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Materials and Mechanics · Nanopore and Nanochannel Transport Studies · Protein Structure and Dynamics
