Roll-up of 4 projects. Projects are the summable leaves — the PE total is their sum, never added to it.
For fiscal year 2027, Defense-Wide agencies are requesting $0.0M for Defense Research Sciences under RDT&E program element 0601101E, against nothing enacted in FY2026.
Funding profile, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 280.0 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
Acquisition lifecycle
This program is funded in RDT&E Budget Activity 1 — Basic Research.
4 projects roll up into PE 0601101E
Projects are the summable leaves — the PE total is their sum, never added to it. Program elements and projects carry the full five-year plan; activities stop at the budget year.
ELECTRONIC SCIENCES
BEYOND SCALING SCIENCES
MATERIALS SCIENCES
Mission & acquisition strategy
The efforts described in this Program Element (PE) address the Basic Research associated with the Defense Research Sciences Program that provides the technical foundation for long-term National Security enhancement through the discovery of new phenomena and the exploration of the potential of such phenomena for Department of War applications. This PE supports the scientific study and experimentation that is the basis for more advanced knowledge and understanding in electronic, mathematical, computer, and materials sciences.
Ask this program element
Answers are generated from the figures on this page — the FY2027 justification exhibits and the marks tracked above — and nothing else is consulted. Confirm any figure against the cited exhibit before you use it externally.
This page carries the budget justification and the NDAA marks — nothing else. For what a contractor has actually been obligated, the ledger is at hitchintel.com/vendors; for live solicitations, hitchintel.com/opportunities. Both are member surfaces.
Cite this page
MATH AND COMPUTER SCIENCES — one RDT&E project inside PE 0601101E. Congressional marks are recorded on the program element, not on a project.
Project CCS-02 — MATH AND COMPUTER SCIENCES — requests $0.0M in FY2027.
Project CCS-02 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 180.7 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
13 accomplishments / planned programs
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
FY2025 accomplishments - Explored the fundamental questions at the intersection of biological and engineered systems. - Explored software-based methods of assuring safety for language-directed autonomous robots. - Developed applications of emerging mathematical theory to apply to modern technology challenges. - Completed exploration of predictive first principles-based modeling of wafer-bonding of multi-functional materials on arbitrary substrates. - Initiated efforts to expand data science techniques for non-ergodic systems.
FY2025 accomplishments - Initiated development of tabletop dynamical simulators to capture high-resolution data of turbulent phenomenology. - Initiated development of machine language-based algorithms for predictive modeling and automated discovery of universal principles governing turbulence. - Developed systematic methods to discover new numerical algorithms; assess efficacy by rediscovering known numerical algorithms and algorithm structures. - Extended algorithm discovery methods to search for new algorithms and algorithm structures. - Demonstrated optimization methods to systematically discover new algorithms and new algorithm structures, especially new hybrid classical-machine learning algorithm…
FY2025 accomplishments - Created cognitive guarantees that addressed MR vulnerabilities and were expressed in languages suitable for proofs from models. - Built cognitive models for reasoning about users of MR systems with sufficient fidelity relative to human behaviors. - Formalized aspects of MR operations to address multiple cognitive models and major classes of cognitive attacks. - Evaluated model, proof, and guarantee validity using automated reasoning tools.
FY2025 accomplishments - Developed eSBOM formats that provide new types of rich metadata. - Implemented cyber reasoning algorithms and tools that leverage eSBOMs to defend against potential flaws during software development. - Conceptualized approaches for trace back of discovered flaws to derive the triggers and to identify how and where to apply fixes. - Extended testbed for integration, testing, and evaluation of eSBOM formats and trace back capabilities for enterprise-scale applications.
FY2025 accomplishments - Awarded FY 2025 grants for new two-year research efforts across YFA topic areas, establishing a new set of scientific approaches to solve current DoW challenges. - Continued FY 2024 research on new concepts for microsystem, biological, strategic, and tactical technologies; information innovation; and defense sciences by exercising second year funding and by providing continued mentorship by program managers. - Awarded Director's Fellowships for top FY 2023 participants to refine technology further and align to DoW needs.
FY2025 accomplishments - Developed approaches for identifying key attributes of trusted human decision-making in dynamic settings. - Created an alignment framework for developing algorithms that can be tuned to align with specific, trusted humans. - Developed measurement techniques for quantifying the alignment of an algorithmic decision-maker with a human decision-maker.
FY2025 accomplishments - Combined programming language analysis and machine learning techniques to provide an automated C to Rust. - Performed initial assessments of tools in terms of percentages of C functions translated to safe and correct Rust programs, as well as in terms of the performance of the translation tools themselves.
FY2025 accomplishments - Developed methods to decompose scientific, technological, and capability claims into constituent components as well as techniques for automatically assessing component feasibility. - Extended and integrated approaches to address high priority scientific feasibility assessment use cases in collaboration with potential transition partners.
FY2025 accomplishments - Developed methods to incorporate logical knowledge and reasoning into AI systems, enabling assurance in decision support.
FY2025 accomplishments - Explored automated decomposition/abstraction approaches for breaking up a natural language statement into reusable natural language lemmas that, if true, constitute a proof.
FY2025 accomplishments - Engaged frontier AI companies to develop a framework for collaboration and define a mutually beneficial incentive structure for all parties (government, universities, and industry).
FY2025 accomplishments - Compared novel knowledge management tools to foundation models through real-world experimentation in domains of potential military interest. - Transitioned novel knowledge management tools to military-relevant organizations and measured operational effectiveness in stakeholder defined experiments. - Developed human-machine discovery tool for document understanding.
FY2025 accomplishments - Utilized the AI agents' capabilities of continually learning from language and vision to enable human-machine collaborative analysis of image, video, and multimedia documents. - Performed assessments of collaborative human-machine image and language analysis capabilities on challenge problems of interest to potential transition partners in the defense and intelligence communities.
What project CCS-02 buys
The Math and Computer Sciences project supports scientific study and experimentation on new mathematical and computational algorithms, models, and mechanisms in support of long-term national security objectives. Modern analytic and information technologies enable important new military capabilities and drive the productivity gains essential to U.S. economic competitiveness. Conversely, new classes of threats, particularly threats that operate in or through the cyber and information domain, put military systems, critical infrastructure, and the civilian economy at risk. This project aims to magnify these opportunities and mitigate these threats by leveraging emerging mathematical and computational capabilities, including artificial intelligence, computational social science, machine learning and reasoning, data science, quantum science, complex systems modeling and simulation, and theories of computation and programming. The basic research conducted under the Math and Computer Sciences project will produce breakthroughs that enable new capabilities for national and homeland security. Beginning in FY 2026, efforts in this Project will be funded in PE 0601122E, Project EMR-01.
ELECTRONIC SCIENCES — one RDT&E project inside PE 0601101E. Congressional marks are recorded on the program element, not on a project.
Project ES-01 — ELECTRONIC SCIENCES — requests $0.0M in FY2027.
Project ES-01 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 2.8 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
1 accomplishment / planned program
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
FY2025 accomplishments - Demonstrated a trapped atom gyroscope with single measurement angle rate resolution and scale factor exceeding commercial gyroscopes. - Demonstrated stability and dynamic control over trapped atoms.
What project ES-01 buys
The Electronic Sciences project is for basic exploration of electronic and optoelectronic devices, circuits, and processing concepts to meet the military's need for near real-time information gathering, transmission, and processing. In seeking to continue the phenomenal advancement in microelectronics innovation that has characterized the last few decades, the project will provide DoW with new, improved, or potentially revolutionary device options for accomplishing these critical functions. The resulting technologies will help maintain knowledge of the enemy, communicate decisions based on that knowledge, and substantially improve the cost and performance of military systems. Research areas include analog, mixed signal, and photonic circuitry for communications and other applications; alternative computer architectures; and reducing the size of Electromagnetic (EM) and sensing systems. Other research could support field-portable electronics with reduced power requirements, and new approaches to nanometer-scale structures, molecules, and devices.
BEYOND SCALING SCIENCES — one RDT&E project inside PE 0601101E. Congressional marks are recorded on the program element, not on a project.
Project ES-02 — BEYOND SCALING SCIENCES — requests $0.0M in FY2027.
Project ES-02 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 43.0 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
3 accomplishments / planned programs
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
FY2025 accomplishments - Benchmarked newly developed materials, devices, and integration and packaging technologies. - Demonstrated components for demonstrating next-generation artificial intelligence, efficient communication, intelligent storage, novel sensing-to-action, and distributed computing architectures. - Identified new research directions and amended new projects to the JUMP 2.0 university research portfolio.
FY2025 accomplishments - Produced initial processor designs and refined processor performance models for enforcing code compartmentalization policies. - Incorporated refined processor performance models in initial implementations of compartmentalization and privilege management tools. - Developed attack campaign test cases for operating systems and conducted initial experiments to measure effectiveness and overhead of compartmentalization and privilege management techniques.
FY2025 accomplishments - Examined current and burgeoning technologies for scalable manufacturing of advanced microsystems. - Investigated potential areas for leveraging commercial microsystems scaling for relevant defense applications.
What project ES-02 buys
The Beyond Scaling Sciences project supports investigations into materials, devices, and architectures to provide disruptive improvements in electronics performance that can be realized by techniques other than transistor scaling. Examples include circuit specialization, non-volatile memory devices that combine computation and memory, and new automated design tools using machine learning. Additionally, new design and manufacturing advances for three-dimensional microelectronics integration will underpin continued performance improvements as silicon transistor scaling plateaus. Beginning in FY 2026, efforts in this Project will be funded in PE 0601122E, Project EMR-02.
MATERIALS SCIENCES — one RDT&E project inside PE 0601101E. Congressional marks are recorded on the program element, not on a project.
Project MS-01 — MATERIALS SCIENCES — requests $0.0M in FY2027.
Project MS-01 funding, FY2025–FY2031
Prior years are actuals, the budget year is the request, and the outyears are the FYDP plan. Estimate types are colored and never summed into one figure. Projects carry the full five-year plan; the activities inside them stop at the budget year.
| Fiscal Year | Estimate Type | Amount ($M) |
|---|---|---|
| FY2025 | Actual | 53.4 |
| FY2026 | Enacted | 0.0 |
| FY2027 | Request | 0.0 |
| FY2028 | Outyear | 0.0 |
| FY2029 | Outyear | 0.0 |
| FY2030 | Outyear | 0.0 |
| FY2031 | Outyear | 0.0 |
2 accomplishments / planned programs
The R-2A exhibit. Activities carry the prior, current and budget year only — no five-year plan — and they are descriptive: coverage is partial and they do not always add back to the project, so count them, never total them.
FY2025 accomplishments - Used state-of-the-art modeling techniques to model the large-scale experiments to identify potential areas for future improvements to turbulent boundary layer flow. - Acquired turbulent boundary layer data at high Reynolds number with smooth and rough wall conditions. - Prepared to conduct experiments with high-energy methods to understand theories behind novel means of forced radioisotope decay. - Completed initial studies of staged accelerator concepts for high energy particle source systems. - Produced and detect electrons and muons at 10 GeV energy levels and beyond. - Developed and initiated preliminary demonstrations of correlated multiphoton sources for sensing, communication, and…
FY2025 accomplishments - Predicted and validated the morphogenic evolution in electrochemical interfaces. - Assessed new experimentally informed modeling techniques to allow for the design of new functional electrochemical interfaces. - Researched and developed mechanisms to optimize microbial biomass powder to meet DoW Nutritional Standards for Operational Rations (NSOR). - Developed safety testing plans for human palatability testing of microbial biomass powder, with input from the U.S. Food and Drug Administration (FDA). - Tested candidate drag reduction technologies on surfaces with complex curvatures. - Demonstrated novel material testing techniques to generate design-relevant properties 10x faster than…
What project MS-01 buys
The Materials Sciences project provides the fundamental research that underpins the design, development, assembly, and optimization of advanced materials, devices, and systems for DoW applications in areas such as robust diagnostics and therapeutics, novel energetic materials, and complex hybrid systems. Beginning in FY 2026, efforts in this Project will be funded in PE 0601122E, Project EMR-03.