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Journal Club for February 2024: Mechanics in Solid-State Batteries: Mechanical Properties, Interfacial Failure, and Multiphysics Modeling

Submitted by Juner Zhu on

Journal Club for February 2024: Mechanics in Solid-State Batteries: Mechanical Properties, Interfacial Failure, and Multiphysics Modeling

Wei Li=, Ruqing Fang=, Junning Jiao, Juner Zhu*

Department of Mechanical and Industrial Engineering, Northeastern University

* Corresponding author: j.zhu [at] northeastern.edu
= Authors with equal contributions to this article

USACM Nano-Scale TTA Webinar by Prof. Surya R. Kalidindi

Submitted by susanta on

USACM Nanotechnology and Lower Scale Phenomena TTA,  webinar is on Jan 31, at 2-3 pm central time.

Speaker: Prof. Surya R. Kalidindi from Georgia Institute of Technology

We have Prof. Raymundo Arróyave of Texas A&M University as the discussant.

We are hoping the format will promote a lively interactive discussion and engage members of our community. We look forward to seeing you there.  Please forward this to anyone who may be interested.

Join Zoom Meeting

Postdoc position on Mechanical Testing at High Temperatures using DIC

Submitted by Antonios Kontsos on

I have a postdoc position available immediately in my research group (https://engineering.rowan.edu/dehub/). The position offers very competitive salary and it relates to an externally funded project on a cutting-edge topic of design optimization of metal parts for aerospace applications. The interested candidates must have a demonstrated capability to perform mechanical testing coupled with optical metrology and need to have good understanding of computational modeling. Please contact me directly as the position will be filled quickly.

Postdoc position in Machine Learning for Advanced Physical Simulation at Aarhus University, Denmark

Submitted by Alessandro Luc… on

I have an opening in my group for a 2-year postdoc position offering applicants an exciting opportunity to join my ERC-funded project “ALPS - AI-based Learning for Physical Simulation”.

Job description

You will be contributing to developing novel algorithms at the intersection of computational physics and machine learning for the automatic identification of symbolic models of physical systems starting from experimental data.

PhD position in eco-innovative shape memory architected dampers for the seismic protection of infrastructures

Submitted by giulia scalet on

We are looking for a highly motivated candidate for a PhD position between École des Ponts ParisTech and University of Pavia, starting October 2024. The position is part of the EU-funded project MISCEA, an ambitious multidisciplinary Doctoral Training Network under the Horizon-Europe Marie Skłodowska-Curie Actions COFUND.

Inviscid Burgers as a degenerate elliptic problem

Submitted by Amit Acharya on

Uditnarayan Kouskiya                    Amit Acharya

We demonstrate the feasibility of a scheme to obtain approximate weak solutions to (inviscid) Burgers equation in conservation and Hamilton-Jacobi form, treated as degenerate elliptic problems. We show different variants recover non-unique weak solutions as appropriate, and also specific constructive approaches to recover the corresponding entropy solutions.

Constitutive theory for highly entangled hydrogels by considering the molecular friction

Submitted by bin.chen on

By considering the frictional sliding of randomly distributed entanglements within the polymer network upon mechanical stretches, we develop a constitutive theory to describe the large stretch behaviors of highly entangled hydrogels. 

doi: https://doi.org/10.1007/s10483-024-3076-8

 

Atomistic simulation assisted error-inclusive Bayesian machine learning for probabilistically unraveling the mechanical properties of solidified metals

Submitted by mohsenzaeem on

Solidification phenomenon has been an integral part of the manufacturing processes of metals, where the quantification ofstochastic variations and manufacturing uncertainties is critically important. Accurate molecular dynamics (MD) simulations ofmetal solidification and the resulting properties require excessive computational expenses for probabilistic stochastic analyseswhere thousands of random realizations are necessary.

A brief review of modeling of composite structures

Submitted by Wenbin Yu on

This paper provides a brief review on modeling of composite structures. Composite structures in this paper refer to any structure featuring anisotropy and heterogeneity, including but not limited to their traditional meaning of composite laminates made of unidirectional fiber-reinforced composites. Common methods used in modeling of composite structures, including the axiomatic method, the formal asymptotic method, and the variational asymptotic method, are illustrated in deriving the classical lamination theory for the composite laminated plates to see their commonalities and differences.