Abstract
The Acceleration Consortium and Merck KGaA hosted a 2-day virtual hackathon on March 27-
28, 2024, bringing together scientists to explore, collaborate, and innovate in the field of Bayesian
optimization for the physical sciences. Participants were encouraged to select or develop Bayesian
optimization algorithms, apply them to benchmarking tasks, design new benchmarks, create instructional
tutorials, and describe real-world applications. With over 100 participants across 69
academic, industry, and government organizations located in 59 cities, 19 countries, and 4 continents,
this was a global event. The outputs from this event, including developed algorithms, benchmarks,
and tutorials, will serve as valuable resources for the research community, in addition to the
new skills learned and connections formed. Released projects and general information are available
at https://ac-bo-hackathon.github.io/ and other locations linked from individual project pages.
This event demonstrates the potential of community-driven research efforts to accelerate advances
in Bayesian optimization in chemistry and materials science.
Supplementary weblinks
Title
Hackathon projects
Description
Detailed description of all hackathon projects including their source code on GitHub
Actions
View