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Multiscale computational mechanics Postdoc position at the University of Wyoming

Submitted by xiangzhang on

The Computations for Advanced Materials and Manufacturing Laboratory (CAMML) in the College of Engineering and Physical Science at the University of Wyoming has an immediate opening for a Postdoctoral Researcher, in the area of multiscale reduced order modeling and design of heterogeneous materials under volumetric and interfacial damage. The project will build on our existing work in Refs. [1-3], and further advance it for modeling of lithium-ion battery system.

Ruobing Bai will be the next Editor of iMechanica Journal Club

Submitted by Teng Li on

Ruobing Bai of the Northeastern University will be the next Editor of the iMechanica Journal Club. The Journal Club was initiated in January 2007, soon after the launch of iMechanica. It has quickly grown into a flagship feature of iMechanica, epitomizing the vibrant topics and dynamic researchers at the frontier of mechanics.

 

Discussion of fracture paper #39 - Dynamic Fracture on a Molecular Level

Submitted by ESIS on

Dynamic fracture is a never-ending story. In 1951, EH Yoffe obtained an analytical solution for a crack of constant length travelling at constant speed along a plane. She used a Galilean transformation to get a solution for arbitrary speeds. The situation seems strange with a crack tip where the material breaks and a lagging tip where the material heals. However, there are applications. One that I encountered was several mode II cracks that travel in the contact plane between a brake pad and a brake disc. The moving cracks were blamed for the causing squeaking noise when braking.

Journal Club for January 2024: Machine Learning in Experimental Solid Mechanics: Recent Advances, Challenges, and Opportunities

Submitted by Hanxun Jin on

Hanxun Jin (a,b), Horacio D. Espinosa (b)
a Division of Engineering and Applied Science, California Institute of Technology
b Department of Mechanical Engineering, Northwestern University

In recent years, Machine Learning (ML) has become increasingly prominent in Solid Mechanics. Its diverse applications include extracting unknown material parameters, developing surrogate models for constitutive modeling, advancing multiscale modeling, and designing architected materials. In this Journal Club, we will focus our discussion on the recent advances and challenges of ML when experimental data is involved. With broad community interest, as reflected by the increasing number of publications in this field, we have recently published a review article in Applied Mechanics Reviews titled “Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review”. Moreover, a recent insightful paper from Prof. Sam Daly’s group also discussed some perspectives in this field. In this Journal Club, we would like to introduce and share insights into this exciting field.

Ideal Magnetohydrodynamics and Field Dislocation Mechanics

Submitted by Amit Acharya on

The fully nonlinear (geometric and material) system of Field Dislocation Mechanics is reviewed to establish an exact analogy with the equations of ideal magnetohydrodynamics (ideal MHD) under suitable physically simplifying circumstances. Weak solutions with various conservation properties have been established for ideal MHD recently by Faraco, Lindberg, and Szekelyhidi using the techniques of compensated compactness of Tartar and Murat and convex integration; by the established analogy, these results would seem to be transferable to the idealization of Field Dislocation Mechanics considered. A dual variational principle is designed and discussed for this system of PDE, with the technique transferable to the study of MHD as well.

Geometric Phases of Nonlinear Elastic N-Rotors via Cartan's Moving Frames

Submitted by arash_yavari on

We study the geometric phases of nonlinear elastic $N$-rotors with continuous rotational symmetry. In the Hamiltonian framework, the geometric structure of the phase space is a principal fiber bundle, i.e., a base, or shape manifold~$\mathcal{B}$, and fibers $\mathcal{F}$ along the symmetry direction attached to it. The symplectic structure of the Hamiltonian dynamics determines the connection and curvature forms of the shape manifold. Using Cartan's structural equations with zero torsion we find an intrinsic (pseudo) Riemannian metric for the shape manifold.

Postdoctoral Researcher in Quantum Scientific Computing

Submitted by Suvranu De on

We are seeking a highly motivated and enthusiastic researcher to fill a Postdoctoral Researcher position in Quantum Scientific Computing at the Florida A&M University-Florida State University College of Engineering (FAMU-FSU COE) in Tallahassee, Florida. This exciting opportunity is directed towards highly motivated and enthusiastic researchers who are eager to contribute to cutting-edge projects in the realm of quantum computing and its applications in scientific problems.

Call for abstracts - EMI/PMC 2024: "MS 0115: Molecular Scale Modeling and Experimentation"

Submitted by Wenjie Xia on

Dear colleagues,

We are currently inviting abstract submissions to our symposium “Molecular scale modeling and experimentation” at the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability (EMI/PMC) Conference that will be hosted in Chicago, IL on May 28-31, 2024.