Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Digital Marketing
Computer Science
Graphic Design
Mining Massive Datasets
Making Successful Decisions through the Strategy, Law & Ethics Model
The Science of Well-Being
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore Earth system emulation for climate projections, uncertainty analysis, and machine learning applications in weather and climate science. Gain insights into advanced modeling techniques and data-driven approaches.
Explore the benefits of acknowledging uncertainty in climate system analysis using machine learning. Learn about state-dependent predictability and controlled abstention networks for improved modeling accuracy.
Explore ensemble consistency testing for climate models, focusing on the Community Earth System Model. Learn about statistical methods to evaluate model changes and ensure software quality in climate simulations.
Explores data-driven and data-assisted modeling techniques for fluid dynamics and geophysics, focusing on machine learning applications in climate science and high-resolution forecasting.
Machine learning techniques for ocean modeling, exploring advances in subgrid closures, turbulent closures, and stochastic parameters to improve climate predictions and understand ocean dynamics.
Explore interpretable and generalizable machine learning techniques for fluid dynamics, focusing on sparse identification of nonlinear dynamics and incorporating physical constraints for improved accuracy.
Explores physics-guided deep learning for fluid dynamics, focusing on accelerating turbulence simulations and incorporating symmetry for generalization in ocean current forecasting.
Explores hydrodynamic scale in integrable classical many-body systems, covering generalized free energy, CMV matrices, and operator image. Offers insights into non-equilibrium physics and universality classes.
Explores correlation functions in hydrodynamics beyond traditional paradigms, focusing on integrable models, hyperbolic scaling, and novel approaches to non-equilibrium many-body physics.
Exploration of prethermal Floquet time crystals, focusing on critical properties, universality, and phase transitions in periodically driven quantum systems.
Explores non-equilibrium many-body physics using quantum simulators, focusing on universal aspects and novel phases of matter far from equilibrium across various fields of physics.
Explores measurement-induced phase transitions in fermion systems, discussing quantum dynamics, phase diagrams, and analytical approaches. Highlights non-equilibrium universality in many-body physics and its implications.
Explore non-unitary dynamics in quantum systems, from dissipative to monitored, covering analytical approaches, entanglement scaling, and spacetime duality in quantum circuits and many-body physics.
Explore thermalization in quantum chromodynamics, focusing on ab initio approaches and interdisciplinary connections. Discover universal phenomena and the effectiveness of hydrodynamics in various physical systems.
Explores non-equilibrium many-body physics, focusing on superdiffusion, subdiffusion, and integrability in quantum systems. Discusses the XXZ spin chain and integrability-breaking, providing insights into transport phenomena and diffusion.
Get personalized course recommendations, track subjects and courses with reminders, and more.