Alessio Gagliardi's research works | Technische Universität München, München (TUM) and other places
Utilizing Data-Driven Optimization to Automate the Parametrization of Kinetic Monte Carlo Models | The Journal of Physical Chemistry A
Rapid Data‐Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion - Lampe - 2023 - Advanced Materials - Wiley Online Library
Mariia Kuramshina – Student – Technische Universität München | LinkedIn
Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy | The Journal of Physical Chemistry Letters
Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion
Academic staff - TUM - TUM School of Computation, Information and Technology
Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion
Kinetic Monte Carlo Study of the Role of the Energetic Disorder on the Open-Circuit Voltage in Polymer/Fullerene Solar Cells | The Journal of Physical Chemistry Letters
Academic staff - TUM - TUM School of Computation, Information and Technology
Anastasia Chatzikontidou | LinkedIn
Alessio Gagliardi's research works | Technische Universität München, München (TUM) and other places
Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion
Gerasimos Chourdakis – Doctoral Candidate – Technical University Munich | LinkedIn
Properties of the Space Charge Layers Formed in Li-Ion Conducting Glass Ceramics | ACS Applied Materials & Interfaces
Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile
Utilizing Data-Driven Optimization to Automate the Parametrization of Kinetic Monte Carlo Models | The Journal of Physical Chemistry A
Academic staff - Department of Electrical Engineering - TUM - Department of Electrical Engineering
Academic staff - TUM - TUM School of Computation, Information and Technology
Ioannis KOUROUDIS | PhD Student | chemical engineering | Technische Universität München, München | TUM | Abteilung für Allergologie | Research profile
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
Team Members - Associate Professorship of Simulation of Nanosystems for Energy Conversion
