output
19912026
Showing 2023 · cond-mat.softShow all

12 papers · 2 filters

cond-mat.soft2023★ 38 cited

Roadmap on machine learning glassy dynamics

Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10

Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…

cond-mat.soft2023★ 16 cited

Brute-force nucleation rates of hard spheres compared with rare-event methods and classical nucleation theory

Willem Gispen, Marjolein Dijkstra

We determine the nucleation rates of hard spheres using brute-force molecular dynamics simulations. We overcome nucleation barriers of up to , leading to a rigorous test…

cond-mat.soft2023★ 115 cited

Brain-inspired computing with fluidic iontronic nanochannels

T. M. Kamsma, J. Kim, K. Kim +4

The brain's remarkable and efficient information processing capability is driving research into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels a…

cond-mat.soft2023★ 15 cited

Interfacial fluid rheology of soft particles

Maximilian M. Schmidt, José Ruiz-Franco, Steffen Bochenek +3

In situ interfacial rheology and numerical simulations are used to investigate microgel monolayers in a wide range of packing fractions, . The heterogeneous particle compre…

cond-mat.soft2023★ 6 cited

In search of a precursor for crystal nucleation of hard and charged colloids

Marjolein de Jager, Frank Smallenburg, Laura Filion

The interplay between crystal nucleation and the structure of the metastable fluid has been a topic of significant debate over recent years. In particular, it has been suggested th…

cond-mat.soft2023★ 20 cited

A hard-sphere quasicrystal stabilized by configurational entropy

Etienne Fayen, Laura Filion, Giuseppe Foffi +1

Due to their aperiodic nature, quasicrystals are one of the least understood phases in statistical physics. One significant complication they present in comparison to their periodi…

cond-mat.soft2023★ 95 cited

Colloidal Hard Spheres: Triumphs, Challenges and Mysteries

C. Patrick Royall, Patrick Charbonneau, Marjolein Dijkstra +4

The simplicity of hard spheres as a model system is deceptive. Although the particles interact solely through volume exclusion, that nevertheless suffices for a wealth of static an…

cond-mat.soft2023★ 6 cited

Hydrodynamic Stability Criterion for Colloidal Gelation under Gravity

Joost de Graaf, Kim William Torre, Wilson C. K. Poon +1

Attractive colloids diffuse and aggregate to form gels, solid-like particle networks suspended in a fluid. Gravity is known to strongly impact the stability of gels once they are f…

cond-mat.soft2023★ 1 cited

Structural dynamics of a model of amorphous silicon

Zihua Liu, Debabrata Panja, Gerard T. Barkema

We perform extensive simulations and systematic statistical analyses of the structural dynamics of amorphous silicon. The simulations follow the dynamics introduced by Wooten, Wine…

cond-mat.soft2023★ 32 cited

Improving the prediction of glassy dynamics by pinpointing the local cage

Rinske M. Alkemade, Frank Smallenburg, Laura Filion

The relationship between structure and dynamics in glassy fluids remains an intriguing open question. Recent work has shown impressive advances in our ability to predict local dyna…

cond-mat.soft2023★ 2 cited

Flexible Colloidal Molecules with Directional Bonds and Controlled Flexibility

Yogesh Shelke, Fabrizio Camerin, Susana Marín-Aguilar +3

Colloidal molecules are ideal model systems for mimicking real molecules and can serve as versatile building blocks for the bottom-up self-assembly of flexible and smart materials.…

cond-mat.soft2023★ 104 cited

Iontronic Neuromorphic Signaling with Conical Microfluidic Memristors

T. M. Kamsma, W. Q. Boon, T. ter Rele +2

Experiments have shown that the conductance of conical channels, filled with an aqueous electrolyte, can strongly depend on the history of the applied voltage. These channels hence…