5 papers · 1 filter
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…
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…
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…
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…
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…