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Explore quantum continuum mechanics for many-body systems, focusing on anti-adiabatic approximation and its applications in calculating excitation energies and modeling quantum condensates.
Explore stochastic vector approaches for electronic structure in condensed matter systems, reducing complexity and enhancing efficiency in computational quantum mechanics.
Explore correlated electron materials through low-energy models and ab initio calculations, focusing on properties of cuprates and advanced quantum mechanics techniques.
Explore fermionic systems in quantum mechanics, focusing on mean-field and semiclassical limits. Learn how Bogoliubov theory describes corrections to Hartree-Fock predictions and derives the Gell-Mann-Brueckner correlation energy formula.
Explore message passing neural networks for molecular systems, focusing on their application in quantum mechanics and multiscale approaches to atomistic modeling.
Explore second-quantization of many-body dispersion formalism for modeling large-scale systems, enhancing computational efficiency and enabling analysis of interactions with surrounding environments.
Explore a novel quantum embedding approach for coupling system fragments with long-range interactions, addressing limitations in current methodologies and offering systematic improvability for more reliable results.
Explore non-locality in machine learning force fields with Stefan Chmiela, focusing on multiscale approaches in quantum mechanics and their applications in computational chemistry.
Explores density matrix embedding theory for quantum systems, proposing an augmented Lagrangian method to improve accuracy by relaxing assumptions and allowing flexible occupation profiles.
Explore atomic cluster expansion for hybrid interatomic potentials, covering methodology, applications, and theoretical foundations in quantum mechanics and materials science.
Explore quantum electrodynamic modeling of superconducting systems with Princeton's Hakan Tureci, covering multiscale approaches in quantum mechanics and their applications.
Explore a novel algorithm for computing the strong-interaction limit in density functional theory, enhancing accuracy in modeling strongly correlated systems and overcoming computational challenges.
Explore quantum embedding theories and their application to twisted transition metal dicalcogenides, focusing on the Hubbard model and its relevance to experimental observations in materials science.
Explore the potential of light-matter hybrid states to create new phases of matter, focusing on cavity-QED in 2D materials and introducing QEDFT as a predictive framework for light-matter interactions.
Explore quantum field theory's role in multiscale phenomena, from fundamental interactions to condensed matter physics and biology. Learn about inequivalent Hilbert space representations and their applications.
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