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AI-Enabled Adaptive Version of Engineering Mechanics: Statics by Housner and Hudson Now Available

Submitted by Kamyar M Davoudi on

 

The AI-enabled adaptive version of Engineering Mechanics: Statics by Housner and Hudson is now available on AdaptiveBooks.org. It offers unparalleled flexibility that allows professors to:

A preprint on erasing the size effect in adhesive friction with re-attachment

Submitted by bin.chen on

 

Our analysis based on a simple model shows how adhesive friction breaks the size limit dictated by the fracture theory, which can offer insights into understanding the phenomena associated with adhesive friction in various fields, including gecko adhesion, cell adhesion, earthquake, etc.

https://doi.org/10.48550/arXiv.2403.05283

 

Postdoctoral Appointee in Computational Solid Mechanics - Sandia National Laboratories

Submitted by mrbuche on

Apply here.

What Your Job Will Be Like
The Materials and Failure Modeling Department is seeking a highly motivated individual to join our diverse and inclusive team and contribute to ongoing computational solid mechanics research, development, and analysis.

On any given day, you will have the opportunity to:

Discussion of fracture paper #41 - Are dislocations good or bad guys? It depends!

Submitted by ESIS on

Shifting from macroscopic to microscopic plasticity helps us understand mechanisms that can help us develop high-strength metallic materials. Things that prevent dislocation dynamics or generation, such as other dislocations and grain boundaries in polycrystalline materials, lead to higher strength.

The interesting and well-written paper

Funded Ph.D. Opportunity in Additive Manufacturing

Submitted by Jun Li on

A fully supported Ph.D. position is open immediately in the Advanced Manufacturing Research Group within the Department of Aerospace Engineering at Embry-Riddle Aeronautical University (ERAU), starting in Spring or Fall 2025. Our interdisciplinary research focuses on advancing additive manufacturing technologies for high-performance composite materials, with applications spanning aerospace, automotive, electronics, and biomedical industries.

Postdoctoral Research Position in Machine Learning-Assisted Polymer Design

Submitted by Cheng Yan on

The Department of Mechanical Engineering at Southern University and A&M College (SU), in collaboration with the Department of Mechanical Industrial Engineering at Louisiana State University (LSU), is seeking a motivated postdoctoral researcher. The research will focus on the design of multifunctional polymers, including shape memory polymers, vitrimers, and flame-retardant materials, utilizing advanced machine learning techniques.

Key Responsibilities:

• Conduct research in machine learning-assisted polymer design.