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20162020
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cond-mat.soft2020

Supervised learning in physical networks: From machine learning to learning machines

Menachem Stern, Daniel Hexner, Jason W. Rocks +1

Materials and machines are often designed with particular goals in mind, so that they exhibit desired responses to given forces or constraints. Here we explore an alternative appro…

cond-mat.soft2019

Supervised learning in a mechanical system

Menachem Stern, Chukwunonso Arinze, Leron Perez +2

Mechanical metamaterials are usually designed to show desired responses to prescribed forces. In some applications, the desired force-response relationship might be hard to specify…

cond-mat.soft2019

Learned multi-stability in mechanical networks

Menachem Stern, Matthew B. Pinson, Arvind Murugan

We contrast the distinct frameworks of materials design and physical learning in creating elastic networks with desired stable states. In design, the desired states are specified i…

cond-mat.soft2018

Shaping dynamical folding and misfolding pathways in mechanical metamaterials

Menachem Stern, Viraaj Jayaram, Arvind Murugan

The design of desired behaviors in mechanical metamaterials has produced remarkable advances but has generally neglected two aspects - the inevitable presence of undesired behavior…

cond-mat.soft2016

From splashing to bouncing: the influence of viscosity on the impact of suspension droplets on a solid surface

Martin H. Klein Schaarsberg, Ivo R. Peters, Menachem Stern +3

We experimentally investigated the splashing of dense suspension droplets impacting a solid surface, extending prior work to the regime where the viscosity of the suspending liquid…