Abstract & Details
Description
Award ID: 2607533
PCL-Test Bed: Purdue Intelligent Codesign Cloud Lab for Non-Equilibrium and Low-Dimensional Materials (ICoN-PCL) The Purdue University-led Intelligent Codesign Cloud Lab for Non-Equilibrium and Low-Dimensional Materials (ICoN PCL) will provide a national user community with remote access to powerful physical and digital tools that accelerate the discovery and integration of new materials into next-generation aerospace, energy, and electronics technologies. The ICoN PCL node will transform isolated instruments into coordinated discovery engines by unleashing the power of automated labs, standardized data capture, and use of AI with the largest collection of nanotechnology and materials manufacturing tools in academia to fundamentally redefine how research facilities operate to serve their communities of users. ICoN PCL will reduce duplicative resourcing, maximize equipment utilization, build modular training pathways, and grow the national pool of talent capable of discovering and generating trustworthy results, accelerating prototyping, and co-optimizing material, device, fabrication, and manufacturing. These innovations will have a strong impact on US competitiveness as processes that take months to years today will be reduced to days or hours. Industry partners will gain results ready to scale and benefit society. The accelerated discovery of new materials with attractive intrinsic properties has not yet been matched by an increase in the rate of insertion into commercial products that benefit society and grow the US economy. Potential use cases of new materials remain speculative, long after their discovery. The design of advanced devices or alloys today largely relies on a menu of established materials. While AI and self-driving labs have advanced material discovery and streamlined fabrication and manufacturing, resources remain siloed even as rapid material-product codesign cycles are critical for accelerating validation and deployment. The ICoN PCL will build on extensive physical and computational assets to provide remote users with cloud access to a set of cutting-edge equipment for the synthesis of 2D materials, fabrication of nanodevices and non-equilibrium alloys with low-dimensional precipitates, annealing and post fabrication treatments, characterization, and testing. Expert technical staff will work closely with external users from industry, academia, and national laboratories for research ideation, onboarding, planning, execution and metadata management, and analysis. An AI research assistant and digital twins will support users in the design of optimal research and prototyping workflows. With a set of discoverable and programmable physical and digital assets and with interoperability across the NSF PCL Network, the scalable ICoN PCL will remove barriers for collaboration and workforce development across institutions and strengthen the nations research, development, and prototyping ecosystem. This will grow the national pool of talent for open innovation and accelerate validation and deployment of new advanced alloys and electronic devices. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Alex Vadati
PCL-Test Bed: Purdue Intelligent Codesign Cloud Lab for Non-Equilibrium and Low-Dimensional Materials (ICoN-PCL) The Purdue University-led Intelligent Codesign Cloud Lab for Non-Equilibrium and Low-Dimensional Materials (ICoN PCL) will provide a national user community with remote access to powerful physical and digital tools that accelerate the discovery and integration of new materials into next-generation aerospace, energy, and electronics technologies. The ICoN PCL node will transform isolated instruments into coordinated discovery engines by unleashing the power of automated labs, standardized data capture, and use of AI with the largest collection of nanotechnology and materials manufacturing tools in academia to fundamentally redefine how research facilities operate to serve their communities of users. ICoN PCL will reduce duplicative resourcing, maximize equipment utilization, build modular training pathways, and grow the national pool of talent capable of discovering and generating trustworthy results, accelerating prototyping, and co-optimizing material, device, fabrication, and manufacturing. These innovations will have a strong impact on US competitiveness as processes that take months to years today will be reduced to days or hours. Industry partners will gain results ready to scale and benefit society. The accelerated discovery of new materials with attractive intrinsic properties has not yet been matched by an increase in the rate of insertion into commercial products that benefit society and grow the US economy. Potential use cases of new materials remain speculative, long after their discovery. The design of advanced devices or alloys today largely relies on a menu of established materials. While AI and self-driving labs have advanced material discovery and streamlined fabrication and manufacturing, resources remain siloed even as rapid material-product codesign cycles are critical for accelerating validation and deployment. The ICoN PCL will build on extensive physical and computational assets to provide remote users with cloud access to a set of cutting-edge equipment for the synthesis of 2D materials, fabrication of nanodevices and non-equilibrium alloys with low-dimensional precipitates, annealing and post fabrication treatments, characterization, and testing. Expert technical staff will work closely with external users from industry, academia, and national laboratories for research ideation, onboarding, planning, execution and metadata management, and analysis. An AI research assistant and digital twins will support users in the design of optimal research and prototyping workflows. With a set of discoverable and programmable physical and digital assets and with interoperability across the NSF PCL Network, the scalable ICoN PCL will remove barriers for collaboration and workforce development across institutions and strengthen the nations research, development, and prototyping ecosystem. This will grow the national pool of talent for open innovation and accelerate validation and deployment of new advanced alloys and electronic devices. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
NSF Program Director: Alex Vadati
| Status | Active |
|---|---|
| Effective start/end date | 08/01/26 → 07/31/30 |
Lead and Sub-Awardee Organization(s)
Funding
- (PCL Test Bed) Toward a Network of Programmable Cloud Laboratories: $19,032,636.00
Active Fiscal Year
- FY2028
- FY2027
- FY2026
- FY2029
- FY2030
Start Fiscal Year
- FY2026
TIP Programs
- (PCL Test Bed) Toward a Network of Programmable Cloud Laboratories
Key Technology Areas
- Advanced Materials
- (confidence score: 100%)
- Artificial Intelligence
- (confidence score: 96%)
- Advanced Computing and Semiconductors
- (confidence score: 100%)
- Robotics and Advanced Manufacturing
- (confidence score: 100%)
Technology Foci
- Advanced Manufacturing (excluding biomanufacturing and semiconductor manufacturing)
- (confidence score: 98%)
- Semiconductors
- (confidence score: 99%)
- Artificial Intelligence (Broad)
- (confidence score: 100%)
- Other next-generation materials
- (confidence score: 98%)
Congressional District at Award
- District n. 04 of Indiana
Current Congressional District
- District n. 04 of Indiana
United States
- Indiana
Core Based Statistical Area (CBSA)
- Lafayette-West Lafayette, IN
County
- County: Tippecanoe, IN
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