Opportunity Information: Apply for DE FOA 0002426

The Department of Energy (DOE) Office of Science, through the Basic Energy Sciences (BES) program, is seeking grant applications under the Computational Chemical Sciences (CCS) funding opportunity (DE-FOA-0002426). The program is aimed at advancing the core computational tools needed to model and simulate complex chemical processes, especially in ways that fully exploit emerging exascale and next-generation DOE leadership-class high-performance computing systems. The central idea is to fund basic research that produces validated, open-source software codes capable of tackling chemical problems that are currently out of reach, or that require major gains in realism (fidelity), performance at scale (scalability), and the ability to run many simulations efficiently (throughput).

A key requirement is that proposals must be collaborative. The opportunity is explicitly designed for either small teams of two to three principal investigators or larger integrated, multidisciplinary teams, often spanning multiple institutions. Single-investigator proposals are considered non-responsive, meaning they do not fit the program goals. BES is signaling that the hardest computational chemistry challenges now demand combined expertise, not isolated efforts, and the funded work should reflect that by integrating both deep chemical theory and modern computational methods.

The technical scope emphasizes software and method development that enables modeling and simulation of complex chemical systems and reactions across multiple scales. Competitive projects are expected to blend domain expertise such as electronic structure theory, chemical dynamics, and statistical mechanics with complementary strengths in areas that make high-end scientific software succeed on cutting-edge machines, including algorithm design, data science approaches, and scalable software architectures. Priority is given to efforts focused on reaction chemistry in complex environments that matter for major BES-relevant areas, specifically geosciences, catalysis, biochemistry, and electrochemistry. In practice, this points toward research that can bridge length and time scales, handle realistic environments (interfaces, solvents, heterogeneous materials, porous media, electrochemical double layers, biomolecular contexts, and similar complexity), and deliver predictive simulations rather than idealized demonstrations.

The opportunity also ties directly to the DOE Exascale Computing Initiative (ECI). CCS is positioned as part of the broader federal push to make exascale computing scientifically productive by overcoming major technical bottlenecks in algorithms and software. The expectation is not only that codes run on large systems, but that they are engineered and validated so they can effectively use exascale architectures to produce new scientific capability. Open-source distribution is a central deliverable, reinforcing DOE goals around transparency, community adoption, reproducibility, and long-term impact.

Administratively, this is a discretionary grant opportunity in the science and technology research and development category (CFDA 81.049), with unrestricted eligibility listed. The posted award ceiling is $2,000,000. The original closing date shown is February 8, 2021, and the opportunity was created on November 2, 2020.

  • The Office of Science in the science and technology and other research and development sector is offering a public funding opportunity titled "Computational Chemical Sciences" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 81.049.
  • This funding opportunity was created on 2020-11-02.
  • Applicants must submit their applications by 2021-02-08. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $2,000,000.00 in funding.
  • Eligible applicants include: Unrestricted.
Apply for DE FOA 0002426

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Frequently Asked Questions (FAQs)

What is this funding opportunity?

This opportunity is the Department of Energy (DOE) Office of Science, Basic Energy Sciences (BES) program, Computational Chemical Sciences (CCS) funding opportunity: DE-FOA-0002426. It seeks grant applications for basic research that advances computational tools for modeling and simulating complex chemical processes.

Which DOE office and program are sponsoring this?

The opportunity is sponsored by the DOE Office of Science through the Basic Energy Sciences (BES) program, under the Computational Chemical Sciences (CCS) area.

What is the main goal of the CCS program under this FOA?

The goal is to fund basic research that delivers core computational methods and validated, open-source software codes that enable modeling and simulation of chemical problems that are currently out of reach, or that require major improvements in realism (fidelity), scalability on large systems, and the ability to run many simulations efficiently (throughput).

What types of research outputs are expected?

Expected outputs include validated, open-source software codes and associated computational methods/algorithms that can model complex chemical processes and fully exploit emerging exascale and next-generation DOE leadership-class high-performance computing (HPC) systems.

Is open-source software required?

Yes. Open-source distribution is described as a central deliverable, aligned with DOE goals for transparency, community adoption, reproducibility, and long-term impact.

Does the FOA emphasize software engineering and performance, or only chemical theory?

It emphasizes both. Competitive projects are expected to integrate chemical domain expertise (such as electronic structure theory, chemical dynamics, and statistical mechanics) with strengths that enable success on cutting-edge HPC systems, including algorithm design, data science approaches, and scalable software architectures.

Are single-investigator proposals allowed?

No. Single-investigator proposals are considered non-responsive (they do not fit the program goals). Proposals must be collaborative.

What kinds of teams are expected for applications?

The FOA is explicitly designed for either small teams of two to three principal investigators or larger integrated, multidisciplinary teams, often spanning multiple institutions.

Why is collaboration a requirement?

The FOA signals that the hardest computational chemistry challenges require combined expertise rather than isolated efforts, and that funded work should reflect integration of deep chemical theory with modern computational methods and software approaches.

What technical areas are in scope?

The scope emphasizes software and method development for modeling and simulation of complex chemical systems and reactions across multiple scales, with a focus on advancing realism (fidelity), performance at scale (scalability), and throughput for running many simulations.

Which scientific application areas are prioritized?

Priority is given to reaction chemistry in complex environments relevant to BES, specifically: geosciences, catalysis, biochemistry, and electrochemistry.

What does "complex environments" mean in this context?

The FOA points toward realistic settings such as interfaces, solvents, heterogeneous materials, porous media, electrochemical double layers, and biomolecular contexts (and similar sources of complexity), with an emphasis on bridging length and time scales.

Is the program focused on predictive simulation or proof-of-concept demonstrations?

The described direction favors predictive simulations rather than idealized demonstrations, aiming for major gains in realism and capability on challenging chemical problems.

How does this opportunity relate to exascale computing?

The opportunity is tied to the DOE Exascale Computing Initiative (ECI) and is positioned as part of the push to make exascale computing scientifically productive by overcoming bottlenecks in algorithms and software.

Is the expectation simply that codes run on large systems?

No. The expectation is that codes are engineered and validated so they can effectively use exascale architectures to deliver new scientific capability, not just execute at scale.

What is the award type and category?

This is a discretionary grant opportunity in the science and technology research and development category.

What is the CFDA number listed for this opportunity?

The CFDA number listed is 81.049.

Who is eligible to apply?

The opportunity lists unrestricted eligibility.

What is the maximum (ceiling) award amount?

The posted award ceiling is $2,000,000.

What is the posted closing date for applications?

The original closing date shown is February 8, 2021.

When was this opportunity created?

The opportunity was created on November 2, 2020.

What makes a proposal "non-responsive" according to the description provided?

Single-investigator proposals are considered non-responsive because they do not align with the program's explicit collaborative team requirement.

Does the FOA encourage multi-institution projects?

Yes. The description notes that teams often span multiple institutions, especially for larger integrated, multidisciplinary efforts.

What are the main evaluation themes implied by the description?

Based on the description, major themes include: (1) collaboration and integration of expertise, (2) method and algorithm advances, (3) scalable software architectures for leadership-class HPC and exascale systems, (4) validated, open-source code delivery, and (5) relevance to reaction chemistry in complex BES-prioritized environments.

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