activity
20192022
most citedDevelopment and comparison of spectral algorithms for numerical modeling of the quasi-static mechanical behavior of inhomogeneous materials

4 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci20222 cited

Accelerating phase-field-based simulation via machine learning

Iman Peivaste, Nima H. Siboni, Ghasem Alahyarizadeh +4

Phase-field-based models have become common in material science, mechanics, physics, biology, chemistry, and engineering for the simulation of microstructure evolution. Yet, they s…

cs.CE2021

A geometrically adapted reduced set of frequencies for a FFT-based microstructure simulation

Christian Gierden, Johanna Waimann, Bob Svendsen +1

We present a modified model order reduction (MOR) technique for the FFT-based simulation of composite microstructures. It utilizes the earlier introduced MOR technique (Kochmann et…

cs.CE20204 cited

Development and comparison of spectral algorithms for numerical modeling of the quasi-static mechanical behavior of inhomogeneous materials

M. Khorrami, J. R. Mianroodi, P. Shanthraj +1

In the current work, a number of algorithms are developed and compared for the numerical solution of periodic (quasi-static) linear elastic mechanical boundary-value problems (BVPs…

physics.comp-ph2019

Multi-component chemo-mechanics based on transport relations for the chemical potential

Pratheek Shanthraj, Chuanlai Liu, Amirhassan Akbarian +2

A chemo-mechanical model for a finite-strain elasto-viscoplastic material containing multiple chemical components is formulated and an efficient numerical implementation is develop…

cond-mat.mtrl-sci2019

Alloy Design for Mechanical Properties: Conquering the Length Scales

Irene J. Beyerlein, Shuozhi Xu, Javier LLorca +3

Predicting the structural response of advanced multiphase alloys and understanding the underlying microscopic mechanisms that are responsible for it are two critically important ro…