8 citations · 15 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…
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…