Let's print !
The vision of MADE-PUBLIC is a future intelligent, scalable, and democratized manufacturing paradigmto enable distributed manufacturing of low-cost printable electronic devices using locally identifiable resources such as bio-based materials derived from plants.
Eco manufacturing (less carbon footprint): plants to electronics
Cyber manufacturing: AI/ML and data enabled
Bio-based, biodegradable, recyclable electronics
Potentially complicated, integrated/multiplexed electronics
Distributed, democratized electronics manufacturing
Integrated education and workforce development plan
Junhong Chen (Chen J)
Printing, field-effect transistor (FET) sensors, LIBs
PI: T1, T2, T3
Plant growth and molecular plant biochemistry
Co-PI: T1, T3
integrated computational materials and mesoscale models
Co-PI: T3, CT4
Functional nanomaterial exfoliation and ink formulation
Co-PI: T2, T3
Cellulose/lignin extraction from plant-based feedstocks
Co-PI: T1, T2
Wei Chen (Chen W)
Design and manufacturing
SP: T2, T3, CT4
Yuxin Chen (Chen Y)
Ml for metrology-driven modification to mesoscale DoE
SP: T1, T3, CT4
Electrochemical sensors and printing
SP: T1, T2, T3
TEA, LCA, material flow analysis (MFA), policy
Hydroponic palnt growth and bioenergy grasses, crop science
SP: T1, T3
Data analytics and ML
SP: T3, CT4
Conversion of plant-derived lignin to graphene
Collaborator, T1, T2
Precision growth recipes for plants/grasses with desired cellulose to lignin composition.
Methods for efficient extraction and conversion of cellulose and lignin for ink materials and additives.
A scalable manufacturing process to produce bio-based and nanomaterials-based inks.
A future manufacturing platform to print sensors, LIBs, and other electronic devices.
Life-cycle (LCA) and techno-economic analysis (TEA) tools and data to guide design and implementation of a cost-effective and environmentally responsible printing platform.
An open source, public manufacturing data infrastructure (BEMDI) empowered by AI/ML algorithms to democratizeon-demand printing of customizable, biodegradable/recyclable electronic devices.
An array of inclusiveeducation and workforce development (EWD) programs that will educate, train, engage, and excite all-age audiences.
MADE-PUBLIC centers around Chicago regional strengths in agriculture, materials and manufacturing, and AI/ML.
Our goal is to facilitate translation of MADE-PUBLIC outcomes by establishing a vibrant cyber manufacturing innovation ecosystem,assisted by critical stakeholders that span the entire value chain of agriculture–electronics.
These stakeholders include Domtar (paper, pulp processing); USDA Forest Products Laboratory (FPL, lignin-derived graphene); Ernst Seeds (seeds); NanoIntegris (nanomaterials ink); MilliporeSigma (printable ink); IDS (printer); Corteva (data); Molex (electronics); NanoAffix (nanosensor); Argonne’s Manufacturing Engineering Research Facility (MERF, scale-up manufacturing) and DLHub (data infrastructure); NIST (materials genome); NUCESR (sustainability); NIMSI (manufacturing); Manufacturing USA Institute MxD (digital manufacturing); mHUB (manufacturing incubator); DPI (skilled workforce development); and the general public (general users).
Data produced from the project will be deposited into existing materials data platforms: MDF; LCA data platform; NanoHUB; nanoMFG; and Argonne’s manufacturing data platform, MDML, which is supported by ML tools, DLHub, and MDF connections.
Stakeholders will work with the project team to ensure the alignment of project results toward translation.
Research and EWD are synchronized to educate, train, engage, and excite diverse, all-age audiences.