SubsidieMeestersReaction robot with intimate photocatalytic and separation functions in a 3-D network driven by artificial intelligence
CATART aims to develop autonomous reaction robots using AI and 3-D quantum dot networks to efficiently mimic natural chemical production, enhancing productivity and sustainability in the chemical industry.
Projectdetails
Introduction
Mimicking the chemical production of nature is a well-pursued dream in the scientific community. Scientific progress is limited by the lack of efficient synergies among complex functions and by a much smaller research library than nature.
Project Overview
CATART will explore new synergies in reaction robots that mimic nature in a much faster way. This will be achieved using H2O and CO2 as model substrates.
Proposed Systems
We propose systems containing:
- 3-D quantum dot networks with the ability to simultaneously harvest sunlight by luminescence.
- Photo-catalyze substrates.
- Separate products.
These phenomena will be managed by artificial intelligence, leading to reaction robots that autonomously learn and instantly maximize productivity.
Impact
The envisioned system will revolutionize the way chemicals are produced. The combination of expertise in:
- Photonics
- Machine learning
- Catalysis
- Organic chemistry
- Engineering
from 5 academic institutions, 1 research center, 1 SME, and 1 industrial partner will enable a successful pathway into feasible reaction robots.
Conclusion
CATART will contribute to a game-changing chemical technology, placing EU industry and society in a privileged situation to face future economic and environmental constraints.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 2.871.775 |
| Totale projectbegroting | € 2.871.775 |
Tijdlijn
| Startdatum | 1-9-2022 |
| Einddatum | 31-8-2026 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEApenvoerder
- TECHNISCHE UNIVERSITEIT EINDHOVEN
- UNIVERSITA DEGLI STUDI DI PAVIA
- UNIVERSITEIT VAN AMSTERDAM
- MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
- KEMIJSKI INSTITUT
- UNIVERSITY OF GLASGOW
- CHEMIFY LIMITED
- JOHNSON MATTHEY PLC
Land(en)
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Vergelijkbare projecten uit andere regelingen
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Synthetic Bimodal Photoredox Catalysis: Unlocking New Sustainable Light-Driven ReactivitySYNPHOCAT aims to develop novel bimodal organic photocatalysts for sustainable light-driven transformations of biorelevant molecules through rational design and mechanistic analysis. | ERC Starting... | € 1.920.260 | 2022 | Details |
A multiscale Machine Learning based Software for the Simulation of Catalytic ProcessesMultiCAT is a machine learning-based framework that enhances catalytic process modeling by reducing computational costs while improving prediction reliability for sustainable chemical manufacturing. | ERC Proof of... | € 150.000 | 2023 | Details |
Enhancing the Potential of Enzymatic Catalysis with Light
PHOTOZYME aims to integrate photocatalysis, biocatalysis, and organocatalysis to sustainably produce chiral molecules through innovative photoenzymes and radical reactions.
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HighEnT aims to innovate synthetic methodologies using visible light-mediated EnT catalysis to create complex organic molecules for pharmacological applications, enhancing chemical space and reaction design.
Accelerating the discovery of high-performance electrocatalysts through artificial intelligence and robotics technology
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SYNPHOCAT aims to develop novel bimodal organic photocatalysts for sustainable light-driven transformations of biorelevant molecules through rational design and mechanistic analysis.
A multiscale Machine Learning based Software for the Simulation of Catalytic Processes
MultiCAT is a machine learning-based framework that enhances catalytic process modeling by reducing computational costs while improving prediction reliability for sustainable chemical manufacturing.