activity
20122025
most citedMechanical Metamaterials with Negative Compressibility Transitions

515 citations · 740 across the 18 of their papers we have counts for

collaborators

18 papers

cond-mat.dis-nn2025★ 1 cited

Signature of glassy dynamics in dynamic modes decompositions

Zachary G. Nicolaou, Hangjun Cho, Yuanzhao Zhang +2

Glasses are traditionally characterized by their rugged landscape of disordered low-energy states and their slow relaxation towards thermodynamic equilibrium. Far from equilibrium,…

physics.flu-dyn2024

Data-Driven Discovery of a New Ginzburg-Landau Reduced-Order Model for Vortex Shedding

Joseph J. Williams, Zachary G. Nicolaou, J. Nathan Kutz +1

Vortex shedding is an important physical phenomenon observed across many spatial and temporal scales in fluids. Previous experimental and theoretical studies have established a hie…

physics.app-ph2024★ 17 cited

Metamaterials with Negative Compressibility Highlight Evolving Interpretations and Opportunities

Zachary G. Nicolaou, Feng Jiang, Adilson E. Motter

The idea that a material can exhibit negative compressibility is highly consequential for research and applications. As new forms for this effect are discovered, it is important to…

nlin.PS2023★ 5 cited

Complex localization mechanisms in networks of coupled oscillators: two case studies

Zachary G. Nicolaou, Jason J. Bramburger

Localized phenomena abound in nature and throughout the physical sciences. Some universal mechanisms for localization have been characterized, such as in the snaking bifurcations o…

q-bio.MN2023★ 5 cited

Prevalence of multistability and nonstationarity in driven chemical networks

Zachary G. Nicolaou, Schuyler B. Nicholson, Adilson E. Motter +1

External flows of energy, entropy, and matter can cause sudden transitions in the stability of biological and industrial systems, fundamentally altering their dynamical function. H…

cs.LG2023★ 1 cited

Benchmarking sparse system identification with low-dimensional chaos

Alan A. Kaptanoglu, Lanyue Zhang, Zachary G. Nicolaou +2

Sparse system identification is the data-driven process of obtaining parsimonious differential equations that describe the evolution of a dynamical system, balancing model complexi…