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Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion

Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion

Program

Program

MD01.01.05: A Generalized Model for Charge Transfer Integral Predictions Using Graphs and Transfer Learning - Materials Research Society

MD01.01.05: A Generalized Model for Charge Transfer Integral Predictions Using Graphs and Transfer Learning - Materials Research Society

Ioannis Kouroudis - Greece | Professional Profile | LinkedIn

Modeling of Space-Charge Layers in Solid-State Electrolytes: A Kinetic Monte Carlo Approach and Its Validation | The Journal of Physical Chemistry C

Modeling of Space-Charge Layers in Solid-State Electrolytes: A Kinetic Monte Carlo Approach and Its Validation | The Journal of Physical Chemistry C

Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion

Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion

Utilizing Data-Driven Optimization to Automate the Parametrization of Kinetic Monte Carlo Models | The Journal of Physical Chemistry A

Utilizing Data-Driven Optimization to Automate the Parametrization of Kinetic Monte Carlo Models | The Journal of Physical Chemistry A

Optimal Sensor Configuration for Fatigue Life Prediction in Structural Applications

Optimal Sensor Configuration for Fatigue Life Prediction in Structural Applications

Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene - Physical Chemistry Chemical Physics (RSC Publishing) DOI:10.1039/D3CP00613A

Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene - Physical Chemistry Chemical Physics (RSC Publishing) DOI:10.1039/D3CP00613A

Gerasimos Chourdakis – Doctoral Candidate – Technical University Munich | LinkedIn

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 - 2023 - Advanced Materials - Wiley Online Library

Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - 2023 - Advanced Materials - Wiley Online Library

Academic staff - TUM - TUM School of Computation, Information and Technology

Academic staff - TUM - TUM School of Computation, Information and Technology

Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion

Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion

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 - 2023 - Advanced Materials - Wiley Online Library

Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - 2023 - Advanced Materials - Wiley Online Library

Ioannis Kouroudis - Greece | Professional Profile | LinkedIn

Program

Program

Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene - Physical Chemistry Chemical Physics (RSC Publishing) DOI:10.1039/D3CP00613A

Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene - Physical Chemistry Chemical Physics (RSC Publishing) DOI:10.1039/D3CP00613A

Ioannis Kouroudis - PhD Researcher Assistant - Technical University of Munich | LinkedIn

Ioannis Kouroudis - Greece | Professional Profile | LinkedIn

Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene - Physical Chemistry Chemical Physics (RSC Publishing) DOI:10.1039/D3CP00613A

Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene - Physical Chemistry Chemical Physics (RSC Publishing) DOI:10.1039/D3CP00613A

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

Milan HARTH | Technische Universität München, München | TUM | Department of Electrical and Computer Engineering | Research profile