SBIR/STTR Research Award

RemoteSTREAMM: A Web Application for Running HPC Materials

Award identifier a231970a380ebc66b9cd3c253173183776af707cbf02230c2c6a0710e2a1d089Awarding agency Department of Energy

Award amount

$154,933

Program and phase

SBIR · Phase I

Award year

2017

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
TECH-X CORPORATION
Proposal award date
2017-02-21
Contract end date
2017-11-20
UEI
VJ7GKNR3MEM3
Solicitation number
DE-FOA-0001618
Topic code
13a

Research abstract

High performance computing (HPC) is a technology that plays a key role in materials science, climate research, astrophysics, and others. Numerical simulations can provide unique insight to physical phenomena that cannot be easily gleaned by other means. Numerical simulations complement experimental observations, help in validating models, and advance our understanding of the world. However recent surveys have shown how underrepresented are companies that could likely take advantage of soft materials HPC simulations. One reason is that systems of interest to the biosciences and chemical engineering sectors (for instance) require the use of different simulations in order to span large length scales. A second reason is that moving away from local workstations to take advantage of HPC resources can be filled with difficulties particularly for small and medium commercial users. We will develop an easy-to-use application that includes an object-oriented toolkit for linking quantum chemistry (DFT) and classical molecular dynamics (MD) simulations together and making this code suite available to take advantage of HPC cloud computing resources. During Phase I we will create the web-enabled containers necessary to run quantum chemistry and molecular dynamics simulations on HPC cloud computing resources. We will test and tune these containers in order to achieve the best possible performance and scaling of these codes in the cloud. We will integrate these simulation packages with the STREAMM toolkit (for enabling simulations across length scales). Finally, we will investigate the use of the newly developed JupyterLab platform as a framework for integrating all of these components together in a single user-friendly application. Commercial applications and other benefits Simulations of advanced materials for organic photovoltaics, batteries, thermoelectrics, advanced coatings, pharmaceuticals and others will speed development of these novel products and help US industries compete and be more efficient. Better utilization of cloud computing resources will help promote development of better computing infrastructure generally.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

299 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $109,779,617. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Energy, Department of Defense, National Aeronautics and Space Administration, Department of Education, Department of Commerce

Agency intelligence

Department of Energy

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