activity
20202026
most citedScaling of Energy Dissipation in Nonequilibrium Reaction Networks

35 citations · 160 across the 11 of their papers we have counts for

collaborators

12 papers

cond-mat.soft2026

triangulax: Differentiable Simulations with Triangular Meshes across Soft Matter Physics

Samuel Silliman, Qiwei Yu, Nikolas Claussen

Many physical and biological systems -foams, membranes, elastic shells, or tissue sheets- can be mathematically described as 2D surfaces. These surfaces can host complex dynamics,…

cond-mat.soft2026

Dynamic Instabilities and Pattern Formation in Chemotactic Active Matter

Hongbo Zhao, Qiwei Yu, Andrej Košmrlj +1

Collectives of actively-moving particles can spontaneously segregate into dilute and dense phases through a process known as motility-induced phase separation (MIPS). This captivat…

cond-mat.stat-mech2024★ 6 cited

Dissipation at limited resolutions: Power law and detection of hidden dissipative scales

Qiwei Yu, Pedro E. Harunari

Nonequilibrium systems, in particular living organisms, are maintained by irreversible transformations of energy that drive diverse functions. Quantifying their irreversibility, as…

physics.bio-ph2024

Exact minimax entropy models of large-scale neuronal activity

Christopher W. Lynn, Qiwei Yu, Rich Pang +2

In the brain, fine-scale correlations combine to produce macroscopic patterns of activity. However, as experiments record from larger and larger populations, we approach a fundamen…

physics.bio-ph2023★ 16 cited

Time-reversal symmetry breaking in the chemosensory array reveals mechanisms for dissipation-enhanced cooperative sensing

David Hathcock, Qiwei Yu, Yuhai Tu

The Escherichia coli chemoreceptors form an extensive array that achieves cooperative and adaptive sensing of extracellular signals. The receptors control the activity of histidine…

physics.bio-ph2023★ 3 cited

Exactly solvable statistical physics models for large neuronal populations

Christopher W. Lynn, Qiwei Yu, Rich Pang +2

Maximum entropy methods provide a principled path connecting measurements of neural activity directly to statistical physics models, and this approach has been successful for popul…

cond-mat.soft2023★ 8 cited

Pattern formation of phase-separated lipid domains in bilayer membranes

Qiwei Yu, Andrej Košmrlj

Giant unilamellar vesicles (GUVs) composed of as few as three lipid species can phase separate into small-scale lipid domains with stripes and dots patterns. These patterns have be…

physics.bio-ph2023★ 29 cited

Resolving the binding-kinase discrepancy in bacterial chemotaxis: A nonequilibrium allosteric model and the role of energy dissipation

David Hathcock, Qiwei Yu, Bernardo A. Mello +3

The Escherichia coli chemotaxis signaling pathway has served as a model system for studying the adaptive sensing of environmental signals by large protein complexes. The chemorecep…

cond-mat.stat-mech2022★ 23 cited

The energy cost for flocking of active spins: the cusped dissipation maximum at the flocking transition

Qiwei Yu, Yuhai Tu

We study the energy cost of flocking in the active Ising model (AIM) and show that besides the energy cost for self-propelled motion, an additional energy dissipation is required t…

cond-mat.stat-mech2022★ 10 cited

State-space renormalization group theory of nonequilibrium reaction networks: Exact solutions for hypercubic lattices in arbitrary dimensions

Qiwei Yu, Yuhai Tu

Nonequilibrium reaction networks (NRNs) underlie most biological functions. Despite their diverse dynamic properties, NRNs share the signature characteristics of persistent probabi…

physics.bio-ph2021★ 30 cited

The energy cost and optimal design of networks for biological discrimination

Qiwei Yu, Anatoly B. Kolomeisky, Oleg A. Igoshin

Many biological processes discriminate between correct and incorrect substrates through the kinetic proofreading mechanism which enables lower error at the cost of higher energy di…

cond-mat.stat-mech2020★ 35 cited

Scaling of Energy Dissipation in Nonequilibrium Reaction Networks

Qiwei Yu, Dongliang Zhang, Yuhai Tu

The energy dissipation rate in a nonequilibirum reaction system can be determined by the reaction rates in the underlying reaction network. By developing a coarse-graining process…