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Explore how spatial heterogeneity influences phase-to-trigger wave transitions in frog egg extracts, revealing key insights into this complex biological phenomenon.
Explore an information-theoretic framework for higher-order Markov processes, examining both theoretical foundations and practical applications in complex systems.
Explore the mechanical proofs of the second law of thermodynamics, focusing on ergotropy and passive states in physics.
Explore how machine learning copies can enhance AI trustworthiness in this insightful talk from IFISC researchers.
Explore a scalable 2-local architecture for quantum annealing of all-to-all Ising models, examining innovative approaches to quantum computation challenges.
Enhance your knowledge of effective scientific writing techniques and best practices for researchers who need to communicate their work clearly and persuasively.
Discover a comprehensive Python package for information theory measures with this introduction to infomeasure from IFISC.
Explore the complex spatiotemporal patterns and dynamics of coastal ecosystems in the Mediterranean region through interdisciplinary physics and systems analysis.
Delve into power-grid dynamics from a complex-systems perspective, examining the 28th April blackout and understanding the interdisciplinary physics behind electrical grid failures.
Explore innovation diffusion models and their applications in understanding how new ideas and technologies spread through society.
Explore temporal network embedding techniques using classical multidimensional scaling for advanced data analysis and visualization.
Explore stochastic thermodynamics in imitation models, examining complex systems and interdisciplinary physics concepts at the forefront of research.
Explore urban segregation patterns and their impact on mobility systems, analyzing complex interactions between social dynamics and city structures.
Explore social hysteresis through statistical physics, uncovering insights and surprises in complex societal dynamics.
Explore branching processes and their application to network cascades, gaining insights into complex system dynamics and interdisciplinary physics concepts.
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