activity
20242026
most citedAccessing Semi-Addressable Self Assembly with Efficient Structure Enumeration

8 citations · 15 across the 10 of their papers we have counts for

collaborators

11 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.soft2025★ 1 cited

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…

physics.comp-ph2025

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

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…

cond-mat.soft2025★ 2 cited

Electrostatics overcome acoustic collapse to assemble, adapt, and activate levitated matter

Sue Shi, Maximilian C. Hübl, Galien P. Grosjean +2

Acoustic levitation provides a unique method for manipulating small particles as it completely evades effects from gravity, container walls, or physical handling. These advantages…

cond-mat.soft2025

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.soft2025★ 4 cited

The polyhedral structure underlying programmable self-assembly

Maximilian C. Hübl, Thomas E. Videbæk, Daichi Hayakawa +2

Experiments have reached a monumental capacity for designing and synthesizing microscopic particles for self-assembly, making it possible to precisely control particle concentratio…

physics.comp-ph2024

Fully independent response in disordered solids

Mengjie Zu, Aayush Desai, Carl P. Goodrich

Unlike in crystals, it is difficult to trace emergent material properties of amorphous solids to their underlying structure. Nevertheless, one can tune features of a disordered spr…

cond-mat.soft2024

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…

cond-mat.soft2024★ 8 cited

Accessing Semi-Addressable Self Assembly with Efficient Structure Enumeration

Maximilian C. Hübl, Carl P. Goodrich

Modern experimental methods enable the creation of self-assembly building blocks with tunable interactions, but optimally exploiting this tunability for the self-assembly of desire…

cond-mat.soft2024

Designing athermal disordered solids with automatic differentiation

Mengjie Zu, Carl Goodrich

The ability to control forces between sub-micron-scale building blocks offers considerable potential for designing new materials through self-assembly. A typical paradigm is to fir…