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Closed loop autonomous experimentation in the development of TiO₂ nanotube catalysts

Vinko Longar, Rudolfovo, Institut Jožef Stefan, MPŠ

Thursday, 9. 4. 2026 at 13:20, at the MPŠ lecture room

Abstract:

TiO₂ nanotube catalyst development is limited by the complexity of its main synthesis route, the anodic
oxidation, which presents a large number of interacting synthesis parameters, and slow connection between
synthesis, characterization, and application testing. This seminar examines how digital transformation, machine
learning, and autonomous experimentation can accelerate this process by converting the workflow into
a structured, data rich, and machine readable system. The proposed approach follows a staged progression
from anodic oxidation, to electrochemical characterization, and finally to degradation experiments
with UPLC analysis. A transfer learning pipeline is suggested to connect these stages, enabling knowledge
to be transferred from synthesis data to characterization and then to application performance.
The main conclusion is that the immediate priority is to build reproducible and traceable workflows that can
support future closed loop autonomous discovery of TiO ₂ nanotube catalysts.