activity
20242026
collaborators

10 papers

cond-mat.soft2026

Designing bistable nanostructures for target behavior

Andreas Ehrmann, Marija Krstić, Sahar Samadzadeh +1

Many biological machines function through controlled conformational transitions, yet designing synthetic nanostructures with prescribed dynamical behavior remains a major challenge…

cond-mat.soft2026

Controlling energy delivery with bistable nanostructures

Andreas Ehrmann, Carl P. Goodrich

Countless biological processes are fueled by energy-rich molecules like ATP and GTP that supply energy with extreme efficiency. However, designing similar energy-delivery schemes f…

cond-mat.soft2026

Unravelling the multiscale surface mechanics of soft solids

Nicolas Bain, Lawrence A. Wilen, Dominic Gerber +7

Soft solids and their surface deformations control the response of many natural and artificial systems. Yet, their underlying properties are vigorously debated, particularly for po…

physics.comp-ph2026

Learning by training: emergent return-point memory from cyclically tuning disordered sphere packings

Mengjie Zu, Carl P. Goodrich

Many living and artificial systems improve their fitness or performance by adapting to changing environments or diverse training data. However, it remains unclear how such environm…

cond-mat.soft2025

Simultaneous optimization of assembly time and yield in programmable self-assembly

Maximilian C. Hübl, Carl P. Goodrich

Rational design strategies for self-assembly require a detailed understanding of both the equilibrium state and the assembly kinetics. While the former is starting to be well under…

cond-mat.soft2025

Stochastic size control of self-assembled filaments

Maximilian C. Hübl, Carl P. Goodrich

Controlling the size and shape of assembled structures is a fundamental challenge in self-assembly, and is highly relevant in material design and biology. Here, we show that specif…