![Machine-Learned Charge Transfer Integrals for Multiscale Simulations in Organic Thin Films | The Journal of Physical Chemistry C Machine-Learned Charge Transfer Integrals for Multiscale Simulations in Organic Thin Films | The Journal of Physical Chemistry C](https://pubs.acs.org/cms/10.1021/acs.jpcc.0c04355/asset/images/medium/jp0c04355_0007.gif)
Machine-Learned Charge Transfer Integrals for Multiscale Simulations in Organic Thin Films | The Journal of Physical Chemistry C
![Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile](https://www.researchgate.net/publication/364437674/figure/fig2/AS:11431281091072246@1666284534490/a-Results-of-all-synthesized-NPL-dispersions-displayed-in-the-threedimensional_Q320.jpg)
Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile
![Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile](https://www.researchgate.net/publication/364437674/figure/fig3/AS:11431281091063116@1666284534652/a-Evolution-of-error-for-the-FoM-prediction-with-an-increasing-number-of-training_Q320.jpg)
Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile
![Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - Advanced Materials - Wiley Online Library Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - Advanced Materials - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/ae219a99-e945-402a-bfa2-edc52e9dd115/adma202208772-fig-0001-m.jpg)
Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - Advanced Materials - Wiley Online Library
![Michael RINDERLE | PhD Student | Master of Science | Technische Universität München, München | TUM | Institute of Nanoelectronics | Research profile Michael RINDERLE | PhD Student | Master of Science | Technische Universität München, München | TUM | Institute of Nanoelectronics | Research profile](https://www.researchgate.net/publication/370022233/figure/fig2/AS:11431281146085592@1681489707530/Data-time-series-of-light-powered-IoT-sensor-devices-deployed-into-different-settings_Q320.jpg)
Michael RINDERLE | PhD Student | Master of Science | Technische Universität München, München | TUM | Institute of Nanoelectronics | Research profile
![Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy | The Journal of Physical Chemistry Letters Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy | The Journal of Physical Chemistry Letters](https://pubs.acs.org/cms/10.1021/acs.jpclett.1c04223/asset/images/large/jz1c04223_0003.jpeg)
Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy | The Journal of Physical Chemistry Letters
![Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - Advanced Materials - Wiley Online Library Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - Advanced Materials - Wiley Online Library](https://onlinelibrary.wiley.com/cms/asset/2c613f77-2917-43cb-860b-1e9dfc918f9e/adma202208772-gra-0001-m.jpg?trick=1681907217675)
Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - Advanced Materials - Wiley Online Library
![Michael RINDERLE | PhD Student | Master of Science | Technische Universität München, München | TUM | Institute of Nanoelectronics | Research profile Michael RINDERLE | PhD Student | Master of Science | Technische Universität München, München | TUM | Institute of Nanoelectronics | Research profile](https://www.researchgate.net/publication/370022233/figure/fig5/AS:11431281146100202@1681489709512/Characterisation-of-XY1L1-sensitised-solar-cells-by-electrolyte-composition-a_Q320.jpg)
Michael RINDERLE | PhD Student | Master of Science | Technische Universität München, München | TUM | Institute of Nanoelectronics | Research profile
![Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile](https://i1.rgstatic.net/ii/profile.image/279014825578506-1443533726891_Q512/Ioannis-Kouroudis.jpg)
Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile
![PDF) Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion PDF) Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion](https://www.researchgate.net/publication/367333273/figure/fig2/AS:11431281151365103@1681977738696/Examples-of-synthesized-spectra-with-the-classification-of-their-merit-according-to_Q320.jpg)
PDF) Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion
![Milan HARTH | Technische Universität München, München | TUM | Department of Electrical and Computer Engineering | Research profile Milan HARTH | Technische Universität München, München | TUM | Department of Electrical and Computer Engineering | Research profile](https://www.researchgate.net/publication/367333273/figure/fig1/AS:11431281151327088@1681977735839/Scheme-of-the-optimization-process-Initially-existing-data-points-syntheses-were_Q320.jpg)