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Numerical Modeling & Simulation Services

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract for Numerical Modeling and Simulation Services supports prime contractors on ARPA-E UNLOCK projects under the Department of Energy. The selected provider will perform numerical modeling to predict field-scale performance by creating site-calibrated models validated through laboratory experimental data. A key technical requirement is the utilization of quantum computing or artificial intelligence to enhance these models, along with the ability to integrate real-time sensing data into predictive recovery frameworks. The primary deliverables for this engagement include validated numerical models and detailed performance prediction reports. Interested parties should note that the solicitation was posted on October 21, 2026, with a response deadline of November 20, 2026. The work falls under NAICS code 541330, focusing on specialized engineering services to advance the goals of the Advanced Research Projects Agency-Energy.

General Info

Subcontract for AI or quantum numerical modeling services supporting ARPA-E UNLOCK projects.

NAICS

541330 - Engineering Services

Place of Performance

Not specified

Set-Aside

NONE

Documents

This scope was carved out of DE-FOA-0003630.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Unlocking New Levels of Output and Capacity for Key Subsurface Resources (UNLOCK)

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Organization & Contact Information

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AgencyDepartment Of Energy → Advanced Rsrch Proj Agency ARPA-E
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs numerical modeling to predict field-scale performance for prime contractors on ARPA-E UNLOCK projects. Creates site-calibrated models and validates them with laboratory experimental data using quantum computing or AI. Requires capability to integrate real-time sensing data into predictive recovery models. Delivers validated numerical models and performance prediction reports.

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