Order Parameter Engineering for Random Systems
"Order Parameter Engineering for Random Systems" published in High Entropy Alloys and Materials
Abstract:
research
Uncovering stress fields and defects distributions in graphene using deep neural networks
In our latest article, “Uncovering stress fields and defects distributions in graphene using deep neural networks”: https://doi.org/10.1007/s10704-023-00704-z , we showed that conditional generative adversarial networks (cGANs) could transform complex deformation fields into stress fields by eliminating the need to evaluate elasticity distributions and develop complex nonlinear constitutive relations.
Postdoctoral and PhD positions at Tsinghua Shenzhen International Graduate School
Two postdoctoral researcher positions and one Ph.D. position are available in the Multiphase Fluid-Structure Interaction Lab in Tsinghua Shenzhen International Graduate School. The postdoc will assist the PI (Prof. Shunxiang Cao) in tasks associated with the high-performance simulations of multiphase fluid-structure interaction (FSI) problems, including bubbly flow modeling, development of efficient fluid-structure coupling algorithms, development of high-performance fluid-structure coupled solver, and reinforcement-learning-based control of FSI.
Synergism effect between nanofibrillation and interface tuning on the stiffness-toughness balance of rubber-toughened polymer nanocomposites: a multiscale analysis
In our recent study published in ACS Applied Materials & Interfaces, using a multiscale modeling technique, we investigated how the combination of nanofibrillation and interfacial tuning can have a synergistic effect on the stiffness-toughness balance in rubber-toughened nanocomposites. Check out the link below:
A Geometric Field Theory of Dislocation Mechanics
In this paper a geometric field theory of dislocation dynamics and finite plasticity in single crystals is formulated. Starting from the multiplicative decomposition of the deformation gradient into elastic and plastic parts, we use Cartan's moving frames to describe the distorted lattice structure via differential 1-forms. In this theory the primary fields are the dislocation fields, defined as a collection of differential 2-forms. The defect content of the lattice structure is then determined by the superposition of the dislocation fields.
Atomistic-informed kinetic phase-field modeling of non-equilibrium crystal growth during rapid solidification
I am happy to share with you our recent paper on kinetic phase-field modeling of non-equilibrium crystal growth, which is just published in Acta Materialia, it is open access:
S. Kavousi, V. Ankudinov, P. K. Galenko, M. Asle Zaeem. Atomistic-informed kinetic phase-field modeling of non-equilibrium crystal growth during rapid solidification. Acta Materialia 253 (2023) 118960 (11 pages).
https://www.sciencedirect.com/science/article/pii/S1359645423002914
Journal Club for May 2023: Strength Revisited: One of Three Basic Ingredients Needed for a Complete Macroscopic Theory of Fracture
1. Introduction
Because of its overwhelming pervasiveness and high-stakes impact on the mechanical performance of structures made of inorganic and live matter alike (bridges, airplanes, bones, ligaments,...), fracture has attracted the attention of humans, researchers and laymen the same, for centuries.
Optimal Elastostatic Cloaks
An elastic cloak hides a hole (or an inhomogeneity) from elastic fields. In this paper, a formulation of the optimal design of elastic cloaks based on the adjoint state method, in which the balance of linear momentum is enforced as a constraint, is presented. The design parameters are the elastic moduli of the cloak, and the objective function is a measure of the distance between the solutions in the physical and in the virtual bodies. Both the elastic medium and the cloak are assumed to be made of isotropic linear elastic materials.
Swelling under constraints: Exploiting 3D-Printing to Optimize the Performance of Gel-Based Devices
Check out our new work at Advanced Materials Technologies
Simuli-responsive hydrogels that swell under constraints such as spatial geometric confinement are commonly employed in many applications to perform mechanical work. In this contribution, we present a simple 3D-printing based method to quantify the mechanical interactions between the gels and their environment. Our findings underscore the potential of gels in the design of actuators, sensors, biomedical devices, etc…
Mechanisms of nucleation and defect growth in undercooled melt containing oxide clusters
Dear iMechanica colleagues; I am happy to share with you our recent paper that is just published in Acta Materialia, it is open access:
S. Kavousi and M. Asle Zaeem. Mechanisms of nucleation and defect growth in undercooled melt containing oxide clusters. Acta Materialia 252 (2023) 118942 (12 pages).