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DESC0024741

Project Grant

Overview

Grant Description
Rare earth and critical elements recovery via selective membranes: AI/ML-guided membrane development.
Awardee
Funding Goals
RARE EARTH AND CRITICAL ELEMENTS RECOVERY VIA SELECTIVE MEMBRANES: AI/ML-GUIDED MEMBRANE DEVELOPMENT
Place of Performance
Chelmsford, Massachusetts 01824-4140 United States
Geographic Scope
Single Zip Code
Analysis Notes
Amendment Since initial award the End Date has been extended from 11/11/24 to 12/31/24.
Triton Systems was awarded Project Grant DESC0024741 worth $199,971 from the Office of Science in February 2024 with work to be completed primarily in Chelmsford Massachusetts United States. The grant has a duration of 10 months and was awarded through assistance program 81.049 Office of Science Financial Assistance Program. The Project Grant was awarded through grant opportunity FY 2024 Phase I Release 1.

SBIR Details

Research Type
SBIR Phase I
Title
RARE EARTH AND CRITICAL ELEMENTS RECOVERY VIA SELECTIVE MEMBRANES: AI/ML-GUIDED MEMBRANE DEVELOPMENT
Abstract
There is a need in the US for improved methodologies to separate rare earth elements (REEs) from existing underutilized waste streams, as these REEs are not prevalent in the earthĺs crust at minable concentrations. These critical elements are necessary for many clean energy technologies (such as permanent magnets in wind turbines), defense applications, and other modern technologies. Nearly 80% of the nationĺs supply of critical elements comes from foreign sources. Therefore, we seek to improve the domestic supply of lanthanide elements through an innovative membrane technology that will be optimized through an AI/ML approach to predict and guide membrane structure, selectivity to critical lanthanide elements, and extraction/rejection rates through material design, experimental design, and data analysis. Triton Systems, Inc. and its team propose to design, synthesize, and develop a modular organic membrane, guided by an AI/ML approach, to selectively extract critical elements from REE rich waste streams. These membranes can be chemically tailored to tune separation affinity, kinetics of extraction/rejection, homogeneous or heterogeneous extraction, and can selectively release bound REE. In Phase I, we will i) develop a simulation-based approach to guide tuning and optimization of our proposed REE separation membrane, ii) design and synthesize a robust, modular membrane for selective REE extraction, iii) assess the performance of our AI/ML-guided membrane in REE-rich solutions, and iv) refine our membrane based on the inputs of our modeling and experimental validation studies. Upon success of the program, Triton Systems Inc. will have developed a physical model and design protocols that predict membrane structure and performance for REE separations from solution, aided by appropriate experimental validation from a subset of predicted structures. Refinement and scale up of these membranes, and their integration and demonstration in REE extraction processes will demonstrate their value to the industry and support their further development and ultimate commercialization. Beyond REEs, our model may be utilized to design membranes for the separation of non-lanthanide elements on the U.S. Geological Survey List of Critical Minerals, such as the d-block elements Ti, Ni, Zn, Mn, Ru, Ir, etc.
Topic Code
C57-12a
Solicitation Number
DE-FOA-0003110

Status
(Complete)

Last Modified 12/2/24

Period of Performance
2/12/24
Start Date
12/31/24
End Date
100% Complete

Funding Split
$200.0K
Federal Obligation
$0.0
Non-Federal Obligation
$200.0K
Total Obligated
100.0% Federal Funding
0.0% Non-Federal Funding

Activity Timeline

Interactive chart of timeline of amendments to DESC0024741

Transaction History

Modifications to DESC0024741

Additional Detail

Award ID FAIN
DESC0024741
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
892430 SC CHICAGO SERVICE CENTER
Funding Office
892401 SCIENCE
Awardee UEI
DA91DUWSMSQ7
Awardee CAGE
0VLJ1
Performance District
MA-03
Senators
Edward Markey
Elizabeth Warren
Modified: 12/2/24