Thomas Heumueller

Friedrich-Alexander-Universität Erlangen-Nürnberg, Forschungszentrum Jülich

Papers

7

Total Citations

468

H-Index

5

About

No biography available yet.

Research Focus

Computer science7 · 468 citations
Materials science7 · 468 citations
Nanotechnology7 · 468 citations
Throughput4 · 361 citations
Photovoltaic system2 · 342 citations
Electrical engineering2 · 342 citations
Machine learning4 · 271 citations
Chemical engineering3 · 254 citations
Perovskite (structure)3 · 254 citations
Process optimization2 · 244 citations
Process engineering2 · 244 citations
Organic chemistry2 · 201 citations

Key Achievements

5
H-Index
7
Papers
468
Total Citations
67
Avg Citations/Paper
🏆 Most Cited Paper
Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning
174 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 46
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Forschungszentrum Jülich

Top Papers

  1. 1
    Discovery of temperature-induced stability reversal in perovskites using high-throughput robotic learning
    174 citations · 2021
  2. 2
    Elucidating the Full Potential of OPV Materials Utilizing a High-Throughput Robot-Based Platform and Machine Learning
    168 citations · 2021
  3. 3
    Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells
    76 citations · 2023
  4. 4
    Understanding the Microstructure Formation of Polymer Films by Spontaneous Solution Spreading Coating with a High‐Throughput Engineering Platform
    27 citations · 2021
  5. 5
    Beyond Ternary OPV: High‐Throughput Experimentation and Self‐Driving Laboratories Optimize Multicomponent Systems
    17 citations · 2020
  6. 6
    Optimizing Perovskite Thin‐Film Parameter Spaces with Machine Learning‐Guided Robotic Platform for High‐Performance Perovskite Solar Cells (Adv. Energy Mater. 48/2023)
    4 citations · 2023
  7. 7
    Film Fabrication Techniques: Beyond Ternary OPV: High‐Throughput Experimentation and Self‐Driving Laboratories Optimize Multicomponent Systems (Adv. Mater. 14/2020)
    2 citations · 2020

Key Collaborators

JHJens Hauch7 shared papersCJChristoph J. Brabec7 shared papersTSTobias Stubhan6 shared papersSLStefan Langner5 shared papersKZKaicheng Zhang3 shared papersCBChristian Berger3 shared papersJWJerrit Wagner3 shared papersJZJiyun Zhang3 shared papersTOTobias Osterrieder3 shared papersYZYicheng Zhao3 shared papersNLNing Li3 shared papersHSHongyang Shi2 shared papersZLZiyi Liu2 shared papersIMIan Marius Peters2 shared papersMSMykhailo Sytnyk2 shared papersSASimon Arnold2 shared papersJDJosé Darío Perea2 shared papersJWJianchang Wu2 shared papersBLBowen Liu2 shared papersFSF. Schmitt2 shared papers
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