04/05/2024 Edition 122
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Concentrating Solar Flux to Heat and Power
DOE EERE Concentrating Solar Flux to Heat and Power, DE-FOA-0003269. Concept paper deadline: May 16, 2024 and full application deadline: August 8, 2024.

The U.S. Department of Energy (DOE) Solar Energy Technologies Office (SETO) announced the Concentrating Solar Flux to Heat and Power funding opportunity, which will award $30 million for innovative research, development, and demonstration projects that accelerate the large-scale development and deployment of concentrating solar-thermal power (CSP) technology.

CSP technologies offer unique value as a renewable energy resource that can readily deliver high-temperature heat for uses in the industrial sector and incorporate energy storage for on-demand solar power.

SETO is interested in projects in three topic areas:
  • Topic Area 1: Scalable Concentrating Solar Collectors
  • Topic Area 2: Scalable Supercritical Carbon Dioxide (sCO2) Turbomachinery
  • Topic Area 3: Scalable Concentrating Solar-thermal Receivers and Reactors

The goals of this funding opportunity announcement (FOA) are aligned with DOE’s target of achieving a levelized cost of heat of $0.02 per kilowatt-hour and levelized cost of electricity of $0.05 kilowatt-hour by 2030. The FOA also supports the goals of the DOE’s Industrial Heat ShotHydrogen Shot, and Clean Fuels & Products Shot.
SETO anticipates making approximately six to 16 awards under this FOA ranging from $750,000 to $10 million. SETO encourages diverse teams from universities, nonprofit and for-profit companies, state and local governments, and Tribal Nations to apply.

Prior to submitting a full application, applicants must submit a concept paper by May 16 at 5 p.m. ET.

DEPSCoR Research Collaboration (RC)
Defense Established Program to Stimulate Competitive Research (DEPSCoR) - Research Collaboration (RC), FOAAFRLAFOSR20240007. CFDA #12.431. Up to $600,000 (total cost). Each grant award will be funded up to $200,000 (total cost) per year for three (3) years.  White Paper Deadline: June 24, 2024 and Full Proposal (by invitation only): November 25, 2024

DEPSCoR's objectives are to: (1) increase the number of university researchers in eligible States/Territories capable of performing science and engineering (S&E research responsive to the needs of the DoD; and (2) enhance the capabilities of institutions of higher education (IHE) in eligible States/Territories (listed below) to develop, plan, and execute (S&E) research that is relevant to the mission of the DoD, and competitive under the peer-review systems used for awarding Federal research assistance; (3) increase the probability of long-term growth in the competitively awarded financial assistance that IHE in eligible States receive from the Federal Government for S&E research.

This funding opportunity aims to create basic research collaborations between a pair of researchers, namely 1) Applicant/Principal Investigator (PI), henceforth referred to as Applicant, a full-time faculty member who has never served as a PI on a prior DoD directly funded research Prime award and 2) Collaborator/co-Principal Investigator (co-PI), henceforth referred to as Collaborator, an investigator who will provide mentorship to the Applicant and has served as a PI on a DoD directly funded research Prime award actively between 1 October 2017 and 30 September 2024. This structure is aimed at introducing potential applicants to the DoD’s unique research challenges and its supportive research ecosystem.

NSF Artificial Intelligence, Formal Methods, and Mathematical Reasoning
NSF Artificial Intelligence, Formal Methods, and Mathematical Reasoning, NSF 24-554. CFDA #'s 47.049 and 47.070. From $500,000 to $1,200,000 for up to 3 years. Proposal Deadline: June 3, 2024, February 5, 2025, or February 6, 2026.

The Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing) program seeks to support research at the interface of innovative computational and artificial intelligence (AI) technologies and new strategies/technologies in mathematical reasoning to automate knowledge discovery. Mathematical reasoning is a central ability of human intelligence that plays an important role in knowledge discovery. In the last decades, both the mathematics and computer science communities have contributed to research in machine-assisted mathematical reasoning, encompassing conjecture, proof, and verification. This has been in the form of both formal methods and interactive theorem provers, as well as using techniques from artificial intelligence. Recent technological advances have led to a surge of interest in machine-assisted mathematical reasoning from the mathematical sciences, formal methods, and AI communities. In turn, advances in this field have potential impact on research in AI.

Althea Sheets, Research, Scholarly, and Creative Activities Development Manager, Office of Sponsored Programs, althea.sheets@unlv.edu, 702-895-1880