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Nachrichten, Termine, Experten
Six partners from research and industry, including Helmholtz-Zentrum Berlin (HZB), the Fritz-Haber-Institute of the Max Planck Society (FHI), BASF, Dunia Innovations, Siemens Energy, and the Technical University Berlin are launching a joint project to accelerate the catalyst discovery. The German Federal Ministry for Science, Technology and Space (BMFTR) is providing €30 million in funding for ASCEND. The research initiative targets the defossilisation of energy-intensive industries while safeguarding industrial competitiveness, with a focus on the chemical sector. The five-year project will start on 1st April 2026.
ASCEND (Accelerated Solutions for Catalysis using Emerging Nanotechnology and Digital Innovation) aims to accelerate the development of next-generation catalysts, a cornerstone of sustainable chemical manufacturing, by bringing together two breakthrough approaches: Digital Catalysis and thin-film catalyst technologies. Digital Catalysis uses Artificial Intelligence (AI), simulations, and self-driving laboratories (SDLs) to speed up the discovery of high-performance materials, while thin-film catalysts reduce material use and improve efficiency. Combined with 3D structures, these catalysts enhance surface area and reaction control, towards the goal of providing sustainable syn-fuels and base chemicals as drop-in substitutes in industry.
AI-accelerated material discovery
At the heart of ASCEND’s approach is AI, which, together with automation and robotics, powers SDLs to accelerate scientific experiments. The AI autonomously builds and updates digital twins of the systems under study and bases its design decisions on these models. It designs experiments that are carried out by automated systems in iterative learning loops, using each result to improve the next step. While AI significantly speeds up planning and efficiency, humans remain essential for guiding the overall approach and defining the scientific questions.
The project builds on the long-term successful partnership between the Fritz Haber Institute and Helmholtz-Zentrum Berlin to drive forward catalysis research.
The scientific project coordinators emphasise the strategic importance of the funding: "The AI-driven approach of ASCEND allows us to explore vast material spaces that were previously inaccessible” says project leader Karsten Reuter, FHI. His co-project lead Michelle Browne, HZB adds "It fundamentally changes how fast the science can deliver the solutions chemical industry urgently needs."
The goal is not autonomous experimentation for its own sake, but industrially trustworthy results. In ASCEND, by combining AI with physical synthesis and stress testing under manufacturing-relevant conditions, Dunia accelerates learning while maintaining confidence at scale,” says Marcus Tze-Kiat Ng, Chief Technology Officer of Dunia Innovations.
From research to industrial application: Strengthening technology leadership
By accelerating catalyst development cycles, ASCEND aims to unlock the performance breakthroughs needed for commercially viable, large-scale deployment of green hydrogen and sustainable chemicals. This is an important prerequisite for the industry to become independent of coal and oil products.
"This project allows us to validate new catalyst materials at an early stage, which is critical for moving promising research into technological application," says Wolfram Stichert, Senior Vice President at BASF SE.
Background
According to S&P Global Ratings, the chemical industry is accountable for approximately six per cent of global greenhouse gas emissions. This corresponds to the annual emissions of the European Union (according to EDGAR – Emissions Database for Global Atmospheric Research). These emissions are primarily generated during electricity production in power stations, where fossil fuels are burned. They are also produced during the manufacture of plastics, fertilisers and pharmaceuticals, which are mainly derived from fossil fuels.
Catalysts can provide a solution. According to estimates, around eighty per cent of all chemical products undergo a catalytic stage in their manufacturing process. Innovations in the field of catalysts are therefore crucial for industrial transformation with the aim of reaching greenhouse gas-neutral production by 2050.
ASCEND red.
Quotes
Karsten Reuter, Project lea, FHI "The AI-driven approach of ASCEND allows us to explore vast material spaces that were previously inaccessible”.
Michelle Browne, Project Lead, HZB: "It fundamentally changes how fast the science can deliver the solutions chemical industry urgently needs."
Marcus Tze-Kiat Ng, Chief Technology Officer of Dunia Innovations: “The goal is not autonomous experimentation for its own sake, but industrially trustworthy results. In ASCEND, by combining AI with physical synthesis and stress testing under manufacturing-relevant conditions, Dunia accelerates learning while maintaining confidence at scale”.
Stephan Völker, Vice President for Research and Appointments, TU Berlin: “By uniting academia, research centers, and industry, ASCEND creates an ideal environment for training the next generation of scientists and engineers to address our most pressing societal challenges”.
Wolfram Stichert, Senior Vice President, BASF SE "This project allows us to validate new catalyst materials at an early stage, which is critical for moving promising research into technological application."
Elfriede Simon, Head of CO2 Electrolyser Development, Siemens Energy: “ASCEND provides a strong platform to jointly advance new approaches in catalyst research. We look forward to helping ensure that promising concepts can be evaluated early on under industrial conditions.”
Dr. Michelle Browne: michelle.browne@helmholtz-berlin.de
Prof. Dr. Karsten Reuter: reuter@fhi.mpg.de
The ASCEND Consortium: Helmholtz-Zentrum Berlin (HZB), the Fritz-Haber-Institute of the Max Planck S ...
Copyright: ASCEND
The ASCEND team
Quelle: Steffen Kangowski
Copyright: FHI / Stefen Kangowski
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The ASCEND Consortium: Helmholtz-Zentrum Berlin (HZB), the Fritz-Haber-Institute of the Max Planck S ...
Copyright: ASCEND
The ASCEND team
Quelle: Steffen Kangowski
Copyright: FHI / Stefen Kangowski
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