38 citations · 49 across the 5 of their papers we have counts for
5 papers
Machine learned designs of functional colloidal foldamers
Ryan van Mastrigt, Zorana Zeravcic
A protein's function follows from the structure it adopts, and in some cases which structure that is depends on the pathway taken. In programmable matter the target is fixed before…
Metamaterials that learn to change shape
Yao Du, Ryan van Mastrigt, Jonas Veenstra +1
Learning to change shape is a fundamental strategy of adaptation and evolution of living organisms, from bacteria and cells to tissues and animals. Human-made materials can also ex…
Prospecting for Pluripotency in Metamaterial Design
Ryan van Mastrigt, Marjolein Dijkstra, Martin van Hecke +1
From self-assembly and protein folding to combinatorial metamaterials, a key challenge in material design is finding the right combination of interacting building blocks that yield…
Emergent Nonlocal Combinatorial Design Rules for Multimodal Metamaterials
Ryan van Mastrigt, Corentin Coulais, Martin van Hecke
Combinatorial mechanical metamaterials feature spatially textured soft modes that yield exotic and useful mechanical properties. While a single soft mode often can be rationally de…
Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials
Ryan van Mastrigt, Marjolein Dijkstra, Martin van Hecke +1
Combinatorial problems arising in puzzles, origami, and (meta)material design have rare sets of solutions, which define complex and sharply delineated boundaries in configuration s…