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Multiscale Physics Simulation Engineering

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Federal

Contract Overview

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

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The Multiscale Physics Simulation Engineering subcontract, managed by Triad for the Department of Energy, focuses on integrating high-fidelity atomic physics models into engineering-scale finite element workflows for DOE technology licensees. By embedding machine-learned physics into finite element analysis, the project bridges the gap between atomic-scale simulations and continuum-scale engineering tools to produce a functional multiscale simulation workflow capable of outputting critical hot-spot and current-steering data. This technical effort requires the use of specific FEA software and multiscale modeling toolkits to achieve its objectives. The project is based in Los Alamos, New Mexico, and falls under NAICS code 541330. The response deadline for this opportunity is February 16, 2027.

General Info

Triad DOE subcontract for multiscale physics simulation workflows in Los Alamos, due 2/16/2027.

Agency

Department Of Energy → Triad - DOE ContractorView Agency

NAICS

541330 - Engineering ServicesView NAICS

Place of Performance

Los Alamos, NM, 87545, USA

Set-Aside

NONE

Documents

This scope was carved out of S-196281.

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

View the prime solicitation

Simulator Collection for Atomic to Continuum Scales (SCACS)

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Organization & Contact Information

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AgencyDepartment Of Energy → Triad - DOE Contractor
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Energy → Triad - DOE Contractor
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Office AddressN/A
ContactsNo contact information available

Full Description

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Integrates high-fidelity atomic physics models into engineering-scale finite element workflows for licensees of DOE technology. Bridges atomic-scale simulations and continuum-scale engineering tools by embedding machine-learned physics into finite element analysis (FEA) workflows. Requires FEA software and multiscale modeling toolkits. Delivers a functional multiscale simulation workflow outputting hot-spot and current-steering data.

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