activity
20242026
most citedSplitting of nonequilibrium phase transitions in driven Ising models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

7 papers

cond-mat.stat-mech2026

Pareto-optimal control strategies in intrinsically nonequilibrium systems

Gustavo A. L. Forão, Carlos E. Fiore, Jonas Berx

Thermodynamic control is typically formulated as the optimisation of a single objective, yet competing costs rarely admit a common optimum, so single-objective control captures onl…

cond-mat.stat-mech2025

Universal splitting of phase transitions and performance optimization in driven collective systems

Gustavo A. L. Forão, Jonas Berx, Tan Van Vu +1

Spontaneous symmetry breaking is a hallmark of equilibrium systems, typically characterized by a single critical point separating ordered and disordered phases. Recently, a novel c…

cond-mat.stat-mech2025

Exact Mapping of Nonequilibrium to Equilibrium Phase Transitions for Systems in Contact with Two Thermal Baths

Iago N. Mamede, Carlos E. Fiore, Gustavo A. L. Forão +2

We show that a large class of nonequilibrium many-body systems in contact with two thermal baths admit an exact mapping onto equivalent equilibrium systems. This mapping provides d…

cond-mat.stat-mech2025

Optimal control strategy for collisional Brownian engines

Gustavo A. L. Forão

Collisional Brownian engines have recently gained attention as alternatives to conventional nanoscale engines. However, a comprehensive optimization of their performance, which cou…

cond-mat.stat-mech2025

Characterization and optimization of heat engines: Pareto-optimal fronts and universal features

Gustavo A. L. Forão, Jonas Berx, Carlos E. Fiore

Characterizing and optimizing nanoscopic heat engines require an appropriate understanding of the interplay between power, efficiency, entropy production and fluctuations. Despite…

cond-mat.stat-mech2025

Statistics of power and efficiency for collisional Brownian engines

Gustavo A. L. Forão, Fernando S. Filho, Pedro V. Paraguassú

Collisional Brownian engines have attracted significant attention due to their simplicity, experimental accessibility, and amenability to exact analytical solutions. While previous…