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Journal Club for March 2024: Unveiling Spatiotemporal Deformation and Dynamics of Soft Materials at Extremely High Rates through Laser-Induced Inertial Cavitation

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Journal Club for March 2024: 

 

Unveiling Spatiotemporal Deformation and Dynamics of Soft Materials at Extremely High Rates through Laser-Induced Inertial Cavitation

 

Jin Yang*

 

Department of Aerospace Engineering and Engineering Mechanics,

The University of Texas at Austin

*Corresponding author. Email address: jin.yang [at] austin.utexas.edu

 

PhD Positions in Experimental Solid Mechanics at UT-Austin

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Position Description  

The Yang Research Group (PI: Dr. Jin Yang) in the Department of Aerospace Engineering and Engineering Mechanics (ASE/EM) at The University of Texas at Austin has two funded Ph.D. positions in experimental solid mechanics starting in Fall 2024 (apply before Dec/01/23). 

 

Qualifications

Funded PhD positions in experimental mechanics at UT-Austin

Submitted by jyang526834 on

Position Description

The Yang Research Group (PI: Dr. Jin Yang) in the Department of Aerospace Engineering and Engineering Mechanics (ASE/EM) at the University of Texas at Austin has two funded Ph.D. positions in experimental solid mechanics starting in Spring 2023 (apply before Oct/01/22) or Fall 2023 (apply before Dec/01/22).

 

Qualifications

I) A bachelor’s or a master’s degree in mechanical engineering, aerospace engineering, engineering mechanics, materials science, bioengineering, or related fields is preferred.

Participate in the DVC Challenge 2.0

Submitted by jyang526834 on

Hi all,

We at iDICs (International Digital Image Correlation Society) are thrilled to invite you to join the most recent DVC (Digital Volume Correlation) challenge! The DVC Challenge 2.0 has two sub-challenges. The first part is an interlaboratory study on the temporal stability of laboratory X-ray Computed Tomography systems. The second part is to identify available experimental and synthetic images and develop a standardized set of high-quality and other challenging datasets from different imaging modalities, which will be further used for DVC code assessment.