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Explore algebraic topology in networks and simplicial complexes, focusing on homology and boundary operators. Gain insights into higher-order network structures and their impact on complex systems.
Explore topological Dirac equations and discrete network geometry in higher-order networks. Delve into metric cohomology and its applications in mathematical physics and dynamical systems.
Explore algebraic topology on networks and simplicial complexes, focusing on Hodge Laplacians and Dirac operators in higher-order networks. Gain insights into topological signals and their applications.
Explore information theory of network geometry and gauge fields in higher-order networks. Delve into topological signals, discrete topology, and emerging dynamical states in complex systems.
Explore advancements in heterogeneous catalyst development through high-throughput simulation, experiments, and machine learning. Gain insights into industrial applications and opportunities in this multidisciplinary field.
Explore DeePMD-kit for creating precise machine-trained potentials in atomistic simulations. Learn key components and practical usage of this powerful tool for quantum-level accuracy at near-classical computational costs.
Explore quantum gas microscopy techniques for studying Hubbard systems in non-equilibrium states, focusing on cutting-edge research in condensed matter physics.
Explore thermopower properties in strongly correlated systems, focusing on advanced concepts and research insights from Federal University of Rio de Janeiro.
Explore cutting-edge research on programmable quantum matter, delving into its principles, applications, and potential impact on future technologies.
Explore efficient optimization techniques for deep neural quantum states, enhancing their power and performance in quantum systems modeling.
Explore variational wave functions for many-electron Schrödinger equations, focusing on ab-initio methods and their applications in quantum mechanics.
Explore transformer wave functions for quantum spin models, delving into advanced concepts in condensed matter and statistical physics.
Explore work statistics and entanglement in fermionic systems, focusing on the superfluid-insulator transition and its implications for quantum physics.
Explore many-body entropies and entanglement through local measurements, gaining insights into quantum systems and their properties.
Explore quantum learning advantages for physics data, uncovering provable benefits and applications in scientific research and analysis.
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