Blog posts

In this paper, a continuum–atomistic multi-scale method is presented in modeling the nonlinear behavior of nano-materials under large deformation. In order to identify an appropriate strain energy function for crystalline nano-structures with different percentages of spherical voids, the hyperelastic method is employed for specimen whose behavior is determined based on the molecular dynamics analyses. In the atomistic level, the EAM many-body potential is employed to model the interactions between the atoms of Al RVEs.

We invite applications for a postdoctoral position and fully funded Ph.D. positions at the Department of Naval Architecture and Marine Engineering of the University of Michigan, Ann Arbor, in the general area of advanced manufacturing with an emphasis on dissimilar materials joining innovation and high-speed solid-state additive manufacturing. The research will serve as key enabler for high-volume production of next-generation multi-material lightweight structures in automobiles, trains, ships, and aircraft.

Our group has recently published an article in which, for the very first time, we measure the compressive strength of hydrated cement paste at multi-metre length scale. This study shows that microscopic strength of cement-based materials is many times higher compared to their macroscopic strength.

The accepted version of the article can be viewed at:

The Materials Mechanics Center (Technion) mourns the passing away of our respected colleague and founder of the Materials Mechanics Center, Prof. SOL BODNER. May he rest in peace. Our sincere condolences to his family.

The Soft Intelligent Materials Laboratory (https://zhaor.engineering.osu.edu/) directed by Prof. Renee Zhao is recruiting highly-motivated applicants to fill two open PhD positions (one in spring 2020 and one in autumn 2020) at the Ohio State University - Columbus.

Electrical Contact Resistance of Fractal Rough Surfaces 

The presence of roughness at electrical contacts tends to involve contacting asperities across multiple scales. Depending on the nature of the contact between asperities on opposing surfaces, different conduction mechanisms take place. This is shown in the figure here.

In essence, we are sensor-clad soft machines capable of myriad intricate tasks. Stripped from proprioceptive feedback, we can no longer walk despite intact locomotor system. Likewise, integration of sensors, complex control loops, or machine learning is crucial in “classical” robotics. This JClub entry discusses recent efforts and challenges of merging soft electronics with robotics.