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Explore force-free quantum Monte Carlo methods for identifying minimum-energy pathways and transition states in chemical reactions and material transformations.
Explore VMC wave function optimization techniques for excited states in molecules and solids, enhancing quantum simulations and computational chemistry understanding.
Explore quantum Monte Carlo techniques for analyzing hydrogen storage in metal-decorated graphene, enhancing understanding of advanced energy storage solutions.
Explore the surrogate Hessian method for efficient geometry optimization in quantum systems, presented by Jaron Krogel at the QMCPACK Workshop 2023.
Explore advanced techniques in quantum mechanics with a focus on orbital optimization methods and their applications in computational physics.
Explore spin orbit coupling implementation in QMCPACK with Cody Melton's workshop presentation, covering advanced quantum mechanics concepts and computational techniques.
Explore new correlation-consistent effective core potentials for quantum chemistry calculations, enhancing accuracy and efficiency in molecular simulations.
Explore quantum Monte Carlo methods for precise electronic and magnetic property calculations in 2D materials with Daniel Wines from NIST.
Explore CPU and GPU performance optimization techniques for batched code in quantum Monte Carlo simulations with QMCPACK.
Explore advancements in quantum Monte Carlo simulations with QMCPACK v4, focusing on new features and improvements for computational materials science research.
Learn to drive batched code using NEXUS in QMCPACK, exploring advanced techniques for efficient quantum Monte Carlo simulations.
Explore recent developments and future prospects of Quantum Monte Carlo calculations in real materials with Fernando Reboredo.
Explore quantum Monte Carlo techniques for accurate modeling of materials and molecular complexes with Andrea Zen's insights from QMCPACK Workshop 2023.
Explore quantum Monte Carlo simulations with QMCPACK: Learn about recent developments, upcoming features, and workshop agenda for advancing computational materials science.
Explore quantum Monte Carlo techniques for modeling correlated 2D magnets, focusing on advanced computational methods and their applications in materials science.
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