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NERSC Collaborates to Advance Fusion Energy Research with New Superfacility Model

NERSC Collaborates to Advance Fusion Energy Research with New Superfacility Model
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United statesRaffi nazikianLaurie stepheyEgemen kolemenEli dartDavid schisselNational fusion facilityEnergy sciences network esnetUs department of energyOffice of advanced scientific computing researchLawrence berkeley national laboratory labPrinceton universityEsnet science engagement teamNational energy research scientific computing centerResearch infrastructureData department head debbie bard

Berkeley Lab s Collaborative Research Enhances Quantum Visualization and Data Analysis

Berkeley Lab s Collaborative Research Enhances Quantum Visualization and Data Analysis
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United statesWestern universityOak ridgeSan francisco state universityTalita percianoJan balewskiWes bethelBerkeley lab directed researchNational energy research scientific computing centerCase western universityMathematics computational research divisionResearch scientistScientific data divisionCase western reserve universityOffice of advanced scientific computing researchLawrence berkeley national laboratory lab

Artificial Atoms Power a Novel Quantum Processor Architecture

The next generation of programmable quantum devices will require processors built around superior qubits. Researchers developed a blueprint for a novel quantum

United statesOffice of advanced scientific computing researchUniversity of californiaResearchers at lawrence berkeley national laboratoryYale universityDepartment of energy office scienceJosephson junctionLawrence berkeley national laboratoryEnergy officeAdvanced scientific computing researchQuantum toolboxUbits quantum information processing science semiconductorsDepartment of energyOffice of science

Artificial Atoms Power a Novel Quantum Processor Architecture

The next generation of programmable quantum devices will require processors built around superior qubits. Researchers developed a blueprint for a novel quantum

United statesOffice of advanced scientific computing researchDepartment of energy office scienceYale universityResearchers at lawrence berkeley national laboratoryUniversity of californiaJosephson junctionLawrence berkeley national laboratoryEnergy officeAdvanced scientific computing researchQuantum toolbox

Supercomputers and AI Unlock Secret Materials for Next-Gen Carbon Capture

Metal-organic framework (MOF) materials can be used in many different applications, from catalysts to energy converters. Generative AI techniques, machine learning, and simulations give researchers new opportunities to identify environmentally friendly metal-organic framework materials. Carbon c

Beckman instituteUnited statesUniversity of illinoisUniversity of illinois at chicagoUniversity of chicagoEliua huertaRuijie zhuEmad tajkhorshidIan fosterXiaoli yanSantanu chaudhuriEliu huertaDonny cooperMonte carloNature communications chemistryUs department of energy