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Journal Club for January 2025: Interplay of Mechanics with Quantum Mechanics in Materials for Quantum Technologies

 

Interplay of Mechanics with Quantum Mechanics in Materials for Quantum Technologies

Swarnava Ghosh* and Tanvir Sohail

National Center for Computational Sciences

Oak Ridge National Laboratory, Oak Ridge, United States.

 *email: ghoshs@ornl.gov

Introduction

susanta's picture

Invitation to MS - Recent Trends in Data-Driven and Computational Modeling of Materials Across Scales: From First Principles Calculations to Mesoscale Physics, at USNCCM18, 2025

Dear Colleagues, 

We are organizing a mini-symposium 801 - Recent Trends in Data-Driven and Computational Modeling of Materials Across Scales: From First Principles Calculations to Mesoscale Physics, at USNCCM18, July 20–24, 2025, Chicago. We invite you to submit an abstract at this symposium. The abstract submission deadline is January 15, 2025. Please find the submission portal here:  https://usnccm18.usacm.org/abstract-submission        

hgomez's picture

PhD positions at Purdue – Artificial Intelligence for Multiscale and Multiphase Computational fluid dynamics

We have several openings for PhD positions. The successful candidate will conduct original research in computational fluid dynamics with special focus on AI and multiphase flows. They will develop numerical methods to be run on high-performance computing platforms. The positions are in the Gomez Research Group (https://engineering.purdue.edu/gomez/) in the Department of Mechanical Engineering at Purdue.

 

Applications

hgomez's picture

Postdoc position at Purdue – Large Language Models (LLMs) in Computational Mechanics

We have an opening for a postdoc position. The successful candidate will have a PhD in Mechanical Engineering or a related field, excellent programming skills, and knowledge of computational mechanics and Large Language Models (LLMs). The positions is in the Gomez Research Group (https://engineering.purdue.edu/gomez/) in the Department of Mechanical Engineering at Purdue.

 

Applications

ESIS's picture

Discussion of fracture paper #43 - Fracture Mechanics Contributes to Averting Our Planetary Climate Change Crisis

Fracture mechanics suddenly provides a step forward to stop climate change. The blogger has often pictured us humans walking on earth, asking ourselves how to get sufficient energy without burning fossil oil and destroying forests. Earth has a crust that is 30 to 50 km thick. Below it, the temperature is 1 to 6 thousand degrees Celsius. We are on the outside of a thin shell and inside is mostly melted rock, forming a sphere with a diameter that is close to 13000 km. For someone seeing this from another solar system, our behaviour must seem strange and pathetic. We have to look inward. 

Rui Huang's picture

CISM Advanced Courses on Wrinkling

Wrinkling - Theoretical Foundation, Experimental Characterization and Numerical Modeling

This course is aimed at graduate students, PhD candidates, and postdoctoral researchers in electronics/biomedical/mechanical/civil engineering, materials science, biophysics and applied mathematics. It is also valuable for senior scientists and engineers in academia and industry interested in the fundamental theoretical aspects of wrinkling phenomena, their numerical simulation and experimental characterization.

Amit Acharya's picture

The Second Law as a constraint and admitting the approximate nature of constitutive assumptions

A scheme for treating the Second Law of thermodynamics as a constraint and accounting for the approximate nature of constitutive assumptions in continuum thermomechanics is discussed. An unconstrained, concave, variational principle is designed for solving the resulting mathematical problem. Cases when the Second Law becomes an over-constraint on the mechanical model, as well as when it serves as a necessary constraint, are discussed.

Postdoctoral Positions at the University of California, San Diego

Postdoctoral positions are available in the department of Structural Engineering at the University of California, San Diego (UCSD) in Prof. Semnani’s research group. We are looking for highly motivated and talented individuals with a recent PhD degree in Civil and Environmental Engineering or Mechanical and Aerospace Engineering.

 The positions are in the areas of computational mechanics, machine learning, geomechanics, material characterization and modeling, and composite materials.

A list of necessary qualifications is below:

jeonghoonsong's picture

USNCCM 18 - MS# 1005: Recent Advances in Computational Methods and Theories for Multiphysics Challenges

We cordially invite you to submit your abstract to our mini-symposium (MS# 1005) for the 18th U.S. National Congress on Computational Mechanics (USNCCM18), to be held in Chicago, IL, from July 20-24, 2025. Our mini-symposium, entitled “Recent Advances in Computational Methods and Theories for Multiphysics Challenges,” is described below. We would be honored if you could contribute to our mini-symposium.

hsalahshoor's picture

18th USNCCM 2025 Mini-Symposium: Modern Computational Methods in Soft Matter Mechanics

There will be a mini-symposium titled “Modern Computational Methods in Soft Matter Mechanics " as part of 18th U.S. National Congress on Computational Mechanics (USNCCM 2025) in Chicago (July 20-24, 2025). This mini-symposium focuses on modern methods at the intersections of computational sciences and soft matter mechanics, construed broadly. 

Mike Ciavarella's picture

A new analytical model for fibrillar viscoelastic adhesion using the Schapery or the Shrimali-Lopez-Pamies nucleation models

Hello:  I would be interested in any comment about this preprint on fibrillar viscoelastic adhesion, originally devised by Schargott Popov and Gorb, where we use for the first time not only the Schapery model for nucleation of cracks, but also the Shrimali and Lopez Pamies, which leads to quite stronger enhancement of adhesion (the limit is the square of the Schapery one), and pull-off with no real prior propagation phase.  Propagation with Schapery nucleation criterion is found to be qualitatively similar to the Schapery and Persson-Brener propagation theories, except that the reference ve

Postdoctoral Associates and Ph.D. Positions

We are seeking multiple postdoctoral researchers and Ph.D. students to join our research group in the Department of Mechanical Engineering at Florida State University. Our projects focus on the mechanics of architected materials and advanced lithium-ion batteries. For more information, please see the attached details.

Tenured professor position in Computational Methods for Fluid Dynamics, University Rostock, Germany

The Faculty of Mechanical Engineering and Marine Technologies of the University of Rostock, Germany
is seeking candidates to fill the position of

Professor (W2) of Computational Methods for Fluid Dynamics

for an appointment on 01 April 2026.

Leon Mishnaevsky's picture

PhD position in Denmark: Modelling of Damage Mechanisms of Extra-Large Wind Turbine Blades

We have a PhD position at the Technical University of Denmark. The position is in the area of mechanics of materials, with applications to wind energy and composite materials. The position is for 3 years, starting in Spring 2025. The salary is of the order of 4.500 EUR (minus taxes). The campus is located in Roskilde, 30 km from Copenhagen.

The project will include computational modelling (finite elements) of extra-large wind turbine blades, and numerical analysis of the blade failure mechanisms.

1 x Master by Research / PhD Funded Student @ Swinburne

Postgraduate (Master by Research / PhD) under Swinburne-National Road Safety Action Grants Program (NRSAGP) funded by Australia’s Department of Infrastructure, Transport, Regional Development, Communications and the Arts

 

Amit Acharya's picture

B-Splines, and ML approximants for PDE via duality

Variational formulation based on duality to solve partial differential equations: Use of B-splines and machine learning approximants

N. Sukumar              Amit Acharya

Many partial differential equations (PDEs) such as Navier–Stokes equations in fluid mechanics, inelastic deformation in solids, and transient parabolic and hyperbolic equations do not have an exact, primal variational structure. Recently, a variational principle based on the dual (Lagrange multiplier) field was proposed. The essential idea in this approach is to treat the given PDE as constraints, and to invoke an arbitrarily chosen auxiliary potential with strong convexity properties to be optimized. This leads to requiring a convex dual functional to be minimized subject to Dirichlet boundary conditions on dual variables, with the guarantee that even PDEs that do not possess a variational structure in primal form can be solved via a variational principle. The vanishing of the first variation of the dual functional is, up to Dirichlet boundary conditions on dual fields, the weak form of the primal PDE problem with the dual-to-primal change of variables incorporated. We derive the dual weak form for the linear, one-dimensional, transient convection diffusion equation. A Galerkin discretization is used to obtain the discrete equations, with the trial and test functions chosen as linear combination of either RePU activation functions (shallow neural network) or B-spline basis functions; the corresponding stiffness matrix is symmetric. For transient problems, a space-time Galerkin implementation is used with tensor-product B-splines as approximating functions. Numerical results are presented for the steady-state and transient convection-diffusion equation, and transient heat conduction. The proposed method delivers sound accuracy for ODEs and PDEs and rates of convergence are established in the L2 norm and H1 seminorm for the steady-state convection-diffusion problem.

chenna's picture

A brief overview of Physics-Informed Neural Networks and some critical remarks

In this presentation, I provide a brief overview of Physics-Informed Neural Networks (PINNs) while highlighting the fundamental issues.

Link to the slides: https://www.researchgate.net/publication/386336316_A_brief_overview_of_P...

Your feedback is welcome.

Mike Ciavarella's picture

Plagiarism in Nobel prize award on Artificial intelligence?

There is some rumour on the Nobel prize for physics by Hopfield and AI.  I found this post by the well known German AI scientist Juergen Schmidhuber. 

 However, the publication output of this Jurgen is also strange... not many top journals....

https://scholar.google.com/citations?user=gLnCTgIAAAAJ&hl=en&oi=ao

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