Page 21 - Exascale Computing Project News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Combustion-Pele: A New Exascale Capability for Improving Engine Design

Combustion-Pele: A New Exascale Capability for Improving Engine Design
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Jacqueline chenNational renewable energy laboratorySandia national laboratorie combustion research facilityDepartment of energyComputational science centerFluids groupExascale computing projectHigh performance algorithmsComplex fluids groupNational renewable energy

Combustion-PELE on Frontier: Exascale-Class HPC for Improving Engine Efficiency - High-Performance Computing News Analysis

"Pele" is the Exascale Computing Project’s application suite for high-fidelity detailed simulations of turbulent combustion in open and confined [.]

Jacqueline chenCaryn meissnerComputational science centerFluids groupLawrence livermore national laboratorySandia national laboratorie combustion research facilityDepartment of energyNational renewable energy laboratoryLawrence livermore nationalExascale computing projectHigh performance algorithmsComplex fluids groupNational renewable energy

NREL, Ge Research Team Find Critical Adjustments To Improve Wind Turbine Design

Low-level jet streams, also known as low-level jets (LLJs), behave in powerful and complex ways that can impact numerous American lives and.

United statesSuzy tichenorShashank yellapantulaBalaji jayaramanErick arthurNational offshore wind researchWorld solutionsOak ridge national laboratory summitScientific computing research leadershipGlobal research centerUs department of energyNational renewable energy laboratoryGe researchOak ridge national laboratoryWind energy technologies officeComputational science center

Researchers Modeling Jet Stream Interference with Offshore Wind

Researchers are seeking ways to mitigate wind patterns that could limit the output or cause excessive wear on wind turbines planned off the Atlantic Coast.

National renewable energy laboratory nrelGeneral electric geOffshore windNew york bightExascale computing projectLow level jet stream lljOffshore wind osw

Feature Extraction and Visualization Algorithm Improves Functional Memory and Research Outcomes in Multiphase Flow Simulation Analysis

Feature Extraction and Visualization Algorithm Improves Functional Memory and Research Outcomes in Multiphase Flow Simulation Analysis
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Ann almgrenSoumya duttaTerece turtonJames ahrensDavid rogersDepartment of energy exascale computing projectExascale computing projectJordan musserComputational science