Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 21, 2026Open Access

A self-driving lab for solution-processed electrochromic thin films

View Full Paper
Ask AI
Bookmark
Share

Authors

SDSelma DahmsLTLuca TorresiSBShahbaz Tareq Bandesha

Discussion

Loading...

Member takes

Overview

Demonstrates how a self-driving lab enhances electrochromic coatings development, suggesting improved efficiency in material optimization.

Key Points

  • The aim is to accelerate the development of electrochromic thin films using automated processes and machine learning.
  • Utilized a self-driving laboratory setup for automated data collection and processing.
  • Implemented machine learning for spectral analysis and Bayesian optimization.
  • Explored various processing parameters to identify optimal conditions for electrochromic coatings.
  • Increased throughput significantly by automating the exploration of processing conditions.
  • Identified effective processing parameters leading to defect-free coatings.
  • Demonstrated applicability of the self-driving lab approach across various solution-processed materials.

Cite This Study

Dahms et al. (2025) studied this question.

synapsesocial.com/papers/6a0ea188be05d6e3efb60575https://doi.org/10.5445/ir/1000193405
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films2026
  2. 2Machine Learning-Guided Performance Evaluation of an All-Liquid Electrochromic Device2024 · 10 citations
  3. 3Self-Regulating Electrochromic Windows: A State-of-the-Art Review of Energy-Autonomous Systems2026 · 2 citations
  4. 4Thin Film Deposition Technology and Electrochromism: A Review of Techniques, Materials, and Applications2026
  5. 5Electrochromic windows with fast response and wide dynamic range for visible-light modulation without traditional electrodes2024 · 89 citations