1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This listing may be outdated. Verify details at the official source before applying.
Find similar grantsCondensed Matter and Materials Theory (CMMT) is sponsored by NSF. Supports research in condensed matter and materials theory, including quantum information science.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
Condensed Matter and Materials Theory (CMMT) | NSF - U.S. National Science Foundation MPS Materials Research Programs (MPS Materials) Condensed Matter and Materials Theory (CMMT) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects.
The Condensed Matter and Materials Theory Program supports theoretical and computational materials research in the topical areas represented by other Materials Research Programs, which include: Electronic and Photonic Materials Metals and Metallic Nanostructures Solid State and Materials Chemistry.
The program supports foundational research that includes but is not limited to: Advancements to our conceptual understanding of hard and soft materials along with materials-related phenomena. The development of associated analytical, computational, and data-centric techniques. Predictive materials-specific theory, simulation, and modeling for materials research.
First-principles electronic structure. Quantum many-body and field theories. Classical and quantum Monte Carlo and molecular dynamics are among the methods used in the broad spectrum of research supported in the program.
Research may encompass advancing new paradigms in materials research, including emerging data-centric approaches using data analytics or machine learning. Computational efforts may span from the workstation level to advanced and high-performance scientific computing.
The program emphasizes approaches that begin at the smallest appropriate length scale, such as electronic, atomic, molecular, nano-, micro-, and mesoscale, required to yield foundational insight into material properties, processes, and behavior, to predict new materials and states of matter, and to reveal new materials phenomena.
Advancing fundamental understanding of materials properties and phenomena, particularly for polymeric materials and soft matter, may require approaches that span multiple length and time scales.
Areas of recent interest include, but are not limited to: strongly correlated electron systems; topological phases; low-dimensional materials and systems; quantum and classical nonequilibrium phenomena, the latter including pattern formation, materials growth, microstructure evolution, fracture, and the jamming transition; gels; glasses; disordered materials, hard and soft; defects; high-temperature superconductivity; creation and manipulation of coherent quantum states; nanostructured materials and mesoscale phenomena; sustainable materials; polymeric materials and soft condensed matter; active matter and related collective behavior; biologically inspired materials; and foundational research at the interfaces of materials with biological systems.
The program encourages potentially transformative proposals at the frontiers of theoretical, computational, and data-intensive materials research, which include but are not limited to: Advancing the understanding of emergent properties and phenomena of materials and condensed matter systems.
Developing materials-specific prediction and advancing understanding of properties, phenomena, and emergent states of matter associated with either hard or soft materials. Developing and exploring new paradigms including computational and data-enabled approaches to advance foundational understanding of materials and materials-related phenomena. Fostering research at interfaces among subdisciplines in materials research.
Harnessing machine learning or developing explainable machine learning to advance understanding of materials and materials-related phenomena. Developing new theoretical frameworks in areas of materials research, such as active matter, nonequilibrium materials or matter, the synthesis of solid-state materials, or reformulating quantum many-body theory for conceptual insight or greater tractability.
Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Mathematical and Physical Sciences (MPS)
According to the current listing, eligibility includes: U. S. institutions of higher education and nonprofit organizations. Confirm the full requirements in the official notice before applying.
Condensed Matter and Materials Theory (CMMT) is funded by NSF. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
TCUP lists eight funding tracks and roughly $10.3M a year, but the October 14, 2026 deadline applies to only three of them — CHAI, Pre-TI, and TCUP Partnerships — and each carries a restriction that disqualifies most applicants. Here is the track-by-track math.
Read articleNSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleAs of September 12, NSF had obligated $6.3 billion across 6,200 grants versus $8.1 billion and 8,600 last year. AHRQ has made 61 awards. Judge Allison Burroughs ordered the government to report by September 28 on whether IES will obligate $180 million before it expires. Here is what actually happens to the money on October 1 — and what it means for your FY2027 application.
Read article