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Scientific computing, including modeling and simulation, has become crucial for research problems that are insoluble by traditional theoretical and experimental approaches, hazardous to study in the laboratory, or time-consuming or expensive to solve by traditional means. DOE's Office of Science, Advanced Scientific Computing Research supports multidisciplinary projects aimed at accelerating research in designing new materials, developing future energy sources, studying global climate change, improving environmental cleanup methods and understanding physics from the tiniest particles to the massive explosions of supernovae.

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#DC5A31

Flame Pea

220, 90, 49

14, 71, 53

0, 59, 78, 14

#A2EBDB

Water Leaf

162, 235, 219

167, 65, 78

31, 0, 7, 8

#424B54

River Bed

66, 75, 84

210, 12, 29

21, 11, 0, 67

About SciDAC

The Scientific Discovery through Advanced Computing (SciDAC) program, initiated by the U.S. Department of Energy (DOE), is dedicated to revolutionizing scientific research through advanced computational methods. Since its launch in 2001, SciDAC has fostered collaborations among leading researchers to address complex scientific challenges that traditional experimental and theoretical approaches cannot resolve. By leveraging high-performance computing, SciDAC supports multidisciplinary projects that span various fields, including climate science, fusion energy, high-energy and nuclear physics, chemistry, and material science.


With a focus on developing the software and hardware infrastructure essential for utilizing terascale to pre-exascale computing systems, SciDAC has adapted to the rapid evolution of computational technologies. The program's collaborative efforts involve teams of physical scientists, mathematicians, and computational experts, ensuring that significant scientific advancements are achieved through the latest computational techniques, including machine learning. Recognized globally, SciDAC continues to be a leader in enhancing scientific knowledge and addressing some of the most pressing research problems facing society today.

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Scientific computing, including modeling and simulation, has become crucial for research problems that are insoluble by traditional theoretical and experimental approaches, hazardous to study in the laboratory, or time-consuming or expensive to solve by traditional means.

scidac.gov

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SciDAC's Company Logos

SciDAC's logos

Logo

PNG

SciDAC's logos

Logo

PNG

SciDAC's Brand Colors

Hex Code

Color name

RGB

HSL

CMYK

#DC5A31

Flame Pea

220, 90, 49

14, 71, 53

0, 59, 78, 14

#A2EBDB

Water Leaf

162, 235, 219

167, 65, 78

31, 0, 7, 8

#424B54

River Bed

66, 75, 84

210, 12, 29

21, 11, 0, 67

About SciDAC

The Scientific Discovery through Advanced Computing (SciDAC) program, initiated by the U.S. Department of Energy (DOE), is dedicated to revolutionizing scientific research through advanced computational methods. Since its launch in 2001, SciDAC has fostered collaborations among leading researchers to address complex scientific challenges that traditional experimental and theoretical approaches cannot resolve. By leveraging high-performance computing, SciDAC supports multidisciplinary projects that span various fields, including climate science, fusion energy, high-energy and nuclear physics, chemistry, and material science.


With a focus on developing the software and hardware infrastructure essential for utilizing terascale to pre-exascale computing systems, SciDAC has adapted to the rapid evolution of computational technologies. The program's collaborative efforts involve teams of physical scientists, mathematicians, and computational experts, ensuring that significant scientific advancements are achieved through the latest computational techniques, including machine learning. Recognized globally, SciDAC continues to be a leader in enhancing scientific knowledge and addressing some of the most pressing research problems facing society today.

Read more...

Brand industry

Science and Education

Company type

Suggest company type

Year founded

Suggest founded year

Company size

Suggest company size

Related Brands

  1. Home

  2. Explore

  3. 🧪 Science and Education

  4. SciDAC

Brandfetch logo
Brandfetch logo

Our mission is to keep every brand on-brand everywhere 👋We're the leading brand data aggregator, simplifying next-level B2B personalization for developers

All services online

SOC2

Top brand categories

📂Browse all categories⭐Browse by featured🏢Browse by industry🌍Browse by region🖥Computers Electronics and Technology🍿Arts and Entertainment💰Finance🍔Food and Drink🏎Vehicles✈️Travel and tourism🛍E-Commerce and Shopping📊Business and Consumer Services📰News and Media🏝Lifestyle💎Luxury💼Jobs and Career🏭Heavy Industry and Engineering🧪Science and Education

For Developers

DevelopersUse casesLogo APIBrand APIBrand Context APIBrand Search APIBrandfetch MCPPricingDocs

Company

For BrandsPluginsTerms and conditionsPrivacy policyHelp & supportRequest brand updateBlogLLMSauth.md

© 2026 Brandfetch, SA. All rights reserved.

Route de la Goille 2, 1073 Savigny, Switzerland