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Explore quantum walk algorithms with Jingbo Wang from the University of Western Australia, in a less than 1-hour presentation at IPAM, UCLA. Delve into efficient quantum circuit design and potential applications.
Explore AI-driven workflows for discovering novel superconductors in this under 1-hour material by Richard Hennig and Jason Gibson from the University of Florida, offered by IPAM.
Explore the next-gen resource manager, Flux, with James Corbett from Lawrence Livermore National Lab. Offered by IPAM, UCLA, it's a short, insightful study into HPC management.
Explore adaptive computing and multi-fidelity learning with Juliane Mueller from the National Renewable Energy Laboratory. This IPAM workshop focuses on efficient optimization and uncertainty quantification.
Learn from Johannes Blaschke's presentation on real-time XFEL data analysis using Exascale Hardware, offered by the Institute for Pure & Applied Mathematics. Less than 1-hour workload.
Learn to scale NumPy applications from 1 CPU to thousands of GPUs with Seshu Yamajala's workshop at IPAM, UCLA. Less than 1-hour workload.
Learn to use Snakemake for transparent, reproducible, and adaptable data analysis in less than an hour with Johannes Köster at IPAM.
Explore X-ray micro-tomography with Dula Parkinson from Lawrence Berkeley National Laboratory. Learn about 3D imaging of diverse samples and complex workflows at IPAM's workshop. Less than 1-hour workload.
Explore atomic-scale modeling using machine learning with Michele Ceriotti from EPFL, offered by IPAM at UCLA. Less than 1-hour material.
Explore automated multiscale modeling and chemical space with Nestor Aguirre from SCM Software for Chemistry & Materials, in a short lecture hosted by IPAM.
Explore high-dimensional data encoding in chemical systems with Aurora Clark from the University of Utah, in a workshop by IPAM. Less than 1-hour workload.
Explore the prediction of complex materials properties with Ralf Drautz's talk at IPAM, UCLA. Learn about machine learning potentials, atomistic simulations, and computational resources.
Explore the development of the open-source ESCALATE data management software with Joshua Schrier of Fordham University in this less than 1-hour material from IPAM at UCLA.
Explore high-throughput spectroscopy and material discovery with Claudia Draxl from Humboldt-Universität, in a workshop by IPAM. Learn to handle extreme-scale data with AI tools.
Dive into Gaussian processes with Marcus Noack from Lawrence Berkeley Lab, exploring function approximation, uncertainty quantification, and autonomous control in a 1-hour IPAM workshop.
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