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USACM Nanotechnology and Lower Scale Phenomena TTA, Webinar by Dr. Timofey Frolov

Submitted by susanta on

Next USACM Nanotechnology and Lower Scale Phenomena TTA,  webinar is on December, 6 at 2pm central.

Our speaker will be Dr. Timofey Frolov from Lawrence Livermore National Laboratory, with Prof. Fadi Abdeljawad, Lehigh University as the discussant.
We are hoping the format will promote a lively interactive discussion and engage both junior and senior members of our community.

We look forward to seeing you there.

Date/Time: December 6; 2-3pm CST

USACM Nanotechnology Virtual Seminar by Kaushik Bhattacharya. 09/27; 2-3pm CDT;

Submitted by susanta on
research

Our upcoming webinar is on September 27 at 2pm central.

Date/Time: September 27; 2-3pm CDT

Join via Zoom: https://us06web.zoom.us/j/84541274013?pwd=ZDhuM09BaUlVVlBuREhEV0sweGFlZ…

(Meeting ID: 845 4127 4013/Passcode: 799065)

Speaker: Kaushik Bhattacharya, California Institute of Technology

Discussant: Miguel Bessa, Brown University

USACM Nanotech webinar, Wed, Aug 30, 2:00pm-3:00pm CDT: by Krishna Garikipati. A free energy-based framework for scale bridging in crystalline solids--with some use of machine learning methods

Submitted by susanta on

Upcoming USACM Nanotechnology webinar on Wednesday, Aug 30, 2:00 pm - 3:00 pm CDT.

Join Zoom Meeting

https://us06web.zoom.us/j/84541274013?pwd=ZDhuM09BaUlVVlBuREhEV0sweGFlZz09

Meeting ID: 845 4127 4013                Passcode: 799065

USACM Nanotechnology Virtual Seminar

 

Funded Ph.D. position on Machine Learning, Mechanical Engineering at the Michigan Tech

Submitted by susanta on
job
Bayesian Machine Learning
scientific machine learning
Projection-based model reduction
computational mechanics

Funded Ph.D. position in the Department of Mechanical Engineering- Engineering Mechanics at the Michigan Technological University. Starting June/September 2023. 

Kindly forward this message to anyone who you feel might be interested in this position. 

We are looking for a self-motivated Ph.D. student to study Machine Learning enabled computational models for applications in Material Modeling and Computational Mechanics. 

Article: An Atomistic-based Finite Deformation Continuum Membrane Model for Monolayer Transition Metal Dichalcogenides

Submitted by susanta on
research

Highlights

• A finite-deformation crystal-elastic membrane model for TMD monolayers is presented.

• Strains of the middle surface and two normal-stretches describe the deformation.

• The continuum hyperelastic strain energy is obtained from an interatomic potential.

• The present model matches well with the purely atomistic simulations.

Abstract

Faculty position in the department of Mechanical Engineering-Engineering Mechanics at the Michigan Tech

Submitted by susanta on
job

Hi,

Our department of Mechanical Engineering-Engineering Mechanics (MEEM) at Michigan Tech is currently searching for outstanding new colleagues in space technology, aerospace technology, NVH, acoustics/noise control, composites, and electric vehicles. Still, we are also open to other fields. We are currently looking to fill tenure-track positions at all levels.  Finding and encouraging talented senior graduate students, postdocs, and colleagues to apply for opportunities is challenging. 

 

Call for abstract: USNC/TAM 2022. Mini-symposium (318) Physics-Based and Data-Driven Multiscale Modeling of Nano-Materials

Submitted by susanta on
conference

 

Dear Colleagues:

 

We are co-organizing a mini-symposium titled “Physics-Based and Data-Driven Multiscale Modeling of Nano-Materials”, (#318) for the upcoming USNC/TAM 2022, to be held in Austin, Texas, June 19-24, 2022.  

 

We would like to cordially invite you to submit an abstract to our mini-symposium. The symposium welcomes contributions on machine learning and multiscale modeling applied to nano-materials. 

 

Funded Ph.D. position in the Department of Mechanical Engineering- Engineering Mechanics at the Michigan Technological University. Starting June or September 2019.

Submitted by susanta on
job

Funded Ph.D. position in the Department of Mechanical Engineering- Engineering Mechanics at the Michigan Technological University. Starting June or September 2019. 

 

We are looking for a self-motivated Ph.D. student to study Machine Learning enabled computational models for applications in Biomedical Imaging and Material Modeling. 

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