Skip to main navigation Skip to search Skip to main content

Bayesian Optimization of Spray Parameters for the Deposition of Ga2O3–Cu2O Heterojunctions

  • TU Wien, Institute of Materials Chemistry

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
JournalACS Applied Energy Materials
DOIs
Publication statusPublished - 14 Apr 2025

Research Field

  • Energy Conversion and Hydrogen Technologies

Keywords

  • Machine Learning
  • Ultrasonic Spray Pyrolysis
  • Thin Film Materials
  • Optoelectronic Devices
  • Process Parameter Optimization
  • Data Subset Selection
  • Model Evaluation
  • Photovoltaics
  • Heterojunctions

Cite this