Computational Science News

Explore our archive of computational science news stories.

Nov. 13, 2024

NREL Partnership Demonstrates Computationally Efficient Analysis of Hybrid Plants

At NREL's Computational Science Center, the Modeling, Simulation, and Optimization Capability (MSOC) team regularly partners with other NREL researchers to help make advanced computing serve them better.

Oct. 15, 2024

Students Harness Power of New Kestrel Supercomputer for Cutting-Edge Energy Research and Innovation

The U.S. Department of Energy provided students with access to the Kestrel supercomputer, a powerful tool hosted by NREL to advance research in renewable energy and energy efficiency.

Oct. 14, 2024

Grad Students, Postdocs, and Early-Career Staff Prepare To Carry Torch of International Research Collaboration

This summer, NREL postdocs and early-career staff participated in multiple events around the globe, including in Italy, Indonesia, Singapore, and stateside in Golden, Colorado.

Sept. 18, 2024

Decade of Digital Computing Speeds Transformative Shift to Clean Energy

A decade ago, NREL embarked on an epic expansion of its data center in a push to accelerate the energy transition by enabling big data and reducing market risk.

Aug. 19, 2024

Kestrel Supercomputer Ready To Energize Renewable Energy Research

After more than two years of hard work, the Kestrel supercomputer completes its full buildout to reach 44 petaflops of computing power focused on renewable energy and energy efficiency research.

July 17, 2024

NREL Researchers Collaborate To Optimize Transmission Modeling Efficiency

Advanced computing plays a pivotal role in accelerating clean energy research at NREL, whether researchers need simulations of traffic systems, models of biomass conversion, or optimization of renewable energy implementation.

June 28, 2024

NREL Explores Path To Increase Occupant Safety During Extreme Weather

Bitter cold temperatures. Unrelenting heat. Power outages that last for weeks. NREL researchers are planning for extreme weather by calculating what it will take to make the situation survivable.

May 10, 2024

New Database Aims To Accelerate Electrocatalyst Development Through Atomic-Scale Insights

The quest for more productive catalysts for the creation of sustainable fuels and commodity chemicals via electrochemical reactions just became easier.

May 7, 2024

NREL’s Artificial Intelligence Work Reveals Benefits to Wind Industry

The wind industry could benefit from the use of artificial intelligence to design and deploy wind plants, according to an article in Nature Energy written by researchers at NREL.

April 18, 2024

With Kestrel on Deck, Advanced Computing Hit a Home Run Over 300 Clean Energy Projects

NREL's high-performance computing, efficient data center operations, and powerful visualizations have left an indelible stamp on clean energy innovation.

Feb. 28, 2024

From Organics to Fuels: Computational Models Can Accelerate and Scale Up Biomass Conversion

Pathways to sustainable biofuels are within view as computational models solve key challenges.

Jan. 29, 2024

Shashank Yellapantula Receives American Institute of Aeronautics and Astronautics Fellow Designation

Shashank Yellapantula, senior staff scientist in NREL's Computational Science Center, was recognized as a 2024 American Institute of Aeronautics and Astronautics (AIAA) Associate Fellow.

Jan. 29, 2024

On the Ground in Colorado, NREL Is Simulating Sustainable Aviation Fuel Combustion During Flight

A cross-disciplinary research team is gathering meticulous fuel chemistry data to equip the aviation industry with an ultra-detailed sustainable aviation fuel (SAF) combustion simulation. Powered by supercomputers, the "virtual jet engine" can predict how SAF performs during flight and provide insights on how to tune it to maximize its safety and performance.

Jan. 5, 2024

NREL Researchers Produce First Macromolecular Model of Plant Secondary Cell Wall

A multidisciplinary approach has enabled researchers with NREL to quantitatively define the relative positioning and arrangement of the polymers in Populus wood and to create a computer model that details the findings.

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