Publication Archive
Scientific papers and peer-reviewed articles.
A comprehensive list of publications resulting from the ASCEND project, sorted by date. We are committed to open access wherever possible.
Learning
Educational Materials
FAQ
Frequently asked questions
What is the main goal of the ASCEND project?
We aim to revolutionize the discovery and scaling of sustainable catalysts by integrating AI, robotics, and
advanced materials science into a closed-loop research workflow.
Is the generated research data publicly available?
Yes, open science is a core principle of ASCEND. Validated datasets, trained models, and related code are published in our open repositories after an initial quality control period.
Glossary
Terminology and technical concepts
Active Learning
A machine learning approach where the algorithm iteratively selects the most informative data points to query next, guiding the experimental design process efficiently.
High-Throughput Screening
The automated execution of hundreds or thousands of chemical experiments in parallel or rapid succession to quickly identify the most promising material candidates.
Power-to-X (PtX)
Technologies that convert renewable electricity into other forms of energy or stable materials, such as synthetic sustainable fuels or green industrial chemicals.
Self-Driving Lab
An autonomous research facility where artificial intelligence algorithms control robotic hardware to continuously design, execute, and analyze experiments in a loop.