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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Explore tensor network methods for studying fluctuations in stochastic systems, covering long-time statistics, rare event sampling, finite-time extensions, and symmetry protected topological phases in dynamical LDs.
Explore nanoscale transport phenomena through large deviation theory, examining current fluctuations in nonequilibrium states and their relation to nonlinear responses in complex systems.
Explore stochastic thermodynamics and its application to nano-scale systems. Learn about thermodynamic inference for analyzing non-equilibrium systems and estimating entropy production.
Explore Engineered Swift Equilibration (ESE) applications in physics, including particle compression, first passage time optimization, and atomic force microscopy enhancements.
Explore anomalous thermal relaxation phenomena, focusing on the Mpemba effect in over-damped Langevin dynamics. Examine theoretical results and link to physical system properties.
Explore anomalous diffusion phenomena across scales, examining scaling functions and universal singularities in cumulant generators. Gain insights into biased cases and connections to phase transitions.
Explore the origin of fat-tailed distributions in driven complex systems through sample space reducing processes, offering insights into various statistical phenomena and their applications.
Explore universal exponential tails in diffusing particle packets, extending large deviation theory for continuous time random walks and uncovering general behaviors in transport phenomena.
Explore probability current fluctuations in periodically driven stochastic systems, focusing on Fourier component statistics and cumulant generating function analysis.
Explore single-file transport and bath-tracer correlations in confined systems, focusing on the Symmetric Exclusion Process and its applications to non-equilibrium situations.
Explore large deviations in particle movement models, analyzing entropy production and dynamical activity. Discover various phase transitions and their implications for rate function scaling.
Explore novel phenomena in colloidal particles within viscoelastic baths, including enhanced barrier hopping, non-reciprocal eigenmodes, and increased rotational diffusion of self-propelled particles.
Explore geometric interpretations of nonequilibrium reaction networks, extending Hill-Schnakenberg theory to hypergraphs and analyzing cycles, cocycles, and stochastic models.
Explore entropy production fluctuations in active matter systems, their connection to collective behavior, and methods to control dissipation and phase transitions.
Explore anomalous transport of tracers in active baths, focusing on long-time dynamics, ratchet effects, and unique friction properties in low-dimensional systems.
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