1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs
Luca Torresi, Pascal Friederich
Self-driving laboratories (SDLs) are combining recent technological advances in robotics, automation, and machine learning based data analysis and decision-making to perform autono…
cs.LG2025
A self-driving lab for solution-processed electrochromic thin films
Selma Dahms, Luca Torresi, Shahbaz Tareq Bandesha +5
Solution-processed electrochromic materials offer high potential for energy-efficient smart windows and displays. Their performance varies with material choice and processing condi…
cs.LG2025
Symmetry-Aware Bayesian Flow Networks for Crystal Generation
Laura Ruple, Luca Torresi, Henrik Schopmans +1
The discovery of new crystalline materials is essential to scientific and technological progress. However, traditional trial-and-error approaches are inefficient due to the vast se…