Computational Physics
Research, 8001 Braddock Rd, Springfield, Virginia, 22151, United States, 11-50 Employees
Phone Number: +17*********
Who is COMPUTATIONAL PHYSICS
Computational Physics, Inc. (CPI) is a research and development (R&D) company founded in 1984 to provide basic and applied science support to various U. S. Government organizations and pr...
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Headquarters: 8001 Braddock Rd, Springfield, Virginia, 22151, United States
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Date Founded: 1984
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Employees: 11-50
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Revenue: $25 Million to $50 Million
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Active Tech Stack: See technologies
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CEO:
Steven Berg
Email
Phone
SIC Code: 
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Frequently Asked Questions Regarding Computational Physics
Answer: Computational Physics's headquarters are located at 8001 Braddock Rd, Springfield, Virginia, 22151, United States
Answer: Computational Physics's phone number is +17*********
Answer: Computational Physics's official website is https://cpi.com
Answer: Computational Physics's revenue is $25 Million to $50 Million
Answer: Computational Physics's SIC: 5191
Answer: Computational Physics's NAICS: 541690
Answer: Computational Physics has 11-50 employees
Answer: Computational Physics is in Research
Answer: Computational Physics contact info: Phone number: +17********* Website: https://cpi.com
Answer: Computational Physics, Inc. (CPI) is a research and development (R&D) company founded in 1984 to provide basic and applied science support to various U. S. Government organizations and prime contractors. CPI has a diverse set of customers that include government (DoD and civilian), Federally Funded Research Development Centers (FFRDCs), university laboratories, and private companies. CPI's original areas of expertise were scientific research on the radiation properties of the Earth's upper atmosphere, and developing new remote sensing techniques for better understanding of the upper atmosphere and ionosphere. CPI continues to be active in these areas, but has also broadened its work to address remote sensing of the Earth's complete environment, including the terrain, oceans, the lower and middle atmospheres (including clouds), ionospheric effects on signals, data assimilation techniques for specification of the state of the global ionosphere, and architectures and techniques for integration of satellite ground data processing systems.
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