Alessio Gagliardi (A Gagliardi)

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Machine Learning

Artificial Intelligence

Top Venues

The journal of physical chemistry letters

Physical chemistry chemical physics : PCCP

ACS energy letters

Advanced materials (Deerfield Beach, Fla.)

This page only lists publications with an associated author ORCID identifier.

Publications

Ioannis Kouroudis, Kenedy Tabah Tanko, Masoud Karimipour, Aziz Ben Ali, D Kishore Kumar, Vediappan Sudhakar, Ritesh Kant Gupta, Iris Visoly-Fisher, Monica Lira-Cantu, Alessio Gagliardi
Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells. ACS energy letters 9 (4) (2024)
Ioannis Kouroudis, Kenedy Tabah Tanko, Masoud Karimipour, Aziz Ben Ali, D Kishore Kumar, Vediappan Sudhakar, Ritesh Kant Gupta, Iris Visoly-Fisher, Monica Lira-Cantu, Alessio Gagliardi
Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells. ACS energy letters 9 (4) (2024)
Ioannis Kouroudis, Kenedy Tabah Tanko, Masoud Karimipour, Aziz Ben Ali, D Kishore Kumar, Vediappan Sudhakar, Ritesh Kant Gupta, Iris Visoly-Fisher, Monica Lira-Cantu, Alessio Gagliardi
Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells. ACS energy letters 9 (4) (2024)
Carola Lampe, Ioannis Kouroudis, Milan Harth, Stefan Martin, Alessio Gagliardi, Alexander S Urban
Rapid Data-Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion. Advanced materials (Deerfield Beach, Fla.) (2023)
Ioannis Kouroudis, Manuel Gößwein, Alessio Gagliardi
Utilizing Data-Driven Optimization to Automate the Parametrization of Kinetic Monte Carlo Models. The journal of physical chemistry. A (2023)
Siby Thomas, Felix Mayr, Ajith Kulangara Madam, Alessio Gagliardi
Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene. Physical chemistry chemical physics : PCCP (2023)
Carola Lampe, Ioannis Kouroudis, Milan Harth, Stefan Martin, Alessio Gagliardi, Alexander S Urban
Rapid Data-Efficient Optimization of Perovskite Nanocrystal Syntheses through Machine Learning Algorithm Fusion. Advanced materials (Deerfield Beach, Fla.) (2023)
Siby Thomas, Felix Mayr, Ajith Kulangara Madam, Alessio Gagliardi
Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene. Physical chemistry chemical physics : PCCP 25 (18) (2023)
Siby Thomas, Felix Mayr, Ajith Kulangara Madam, Alessio Gagliardi
Machine learning and DFT investigation of CO, CO 2 and CH 4 adsorption on pristine and defective two-dimensional magnesene. Physical chemistry chemical physics : PCCP 25 (18) (2023)
Felix Mayr, Milan Harth, Ioannis Kouroudis, Michael Rinderle, Alessio Gagliardi
Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy. The journal of physical chemistry letters 13 (8) (2022)
Manuel Gößwein, Waldemar Kaiser, Alessio Gagliardi
Local Temporal Acceleration Scheme to Couple Transport and Reaction Dynamics in Kinetic Monte Carlo Models of Electrochemical Systems. Journal of chemical theory and computation 18 (5) (2022)
Waldemar Kaiser, Veljko Janković, Nenad Vukmirović, Alessio Gagliardi
Nonequilibrium Thermodynamics of Charge Separation in Organic Solar Cells. The journal of physical chemistry letters 12 (27) (2021)
Carolin Alexandra Rickert, Elif N Hayta, Daniel M Selle, Ioannis Kouroudis, Milan Harth, Alessio Gagliardi, Oliver Lieleg
Machine Learning Approach to Analyze the Surface Properties of Biological Materials. ACS biomaterials science & engineering 7 (9) (2021)
Felix Mayr, Alessio Gagliardi
Global Property Prediction: A Benchmark Study on Open-Source, Perovskite-like Datasets. ACS omega 6 (19) (2021)
Waldemar Kaiser, Alessio Gagliardi
Stepping Out of Equilibrium: The Quest for Understanding the Role of Non-Equilibrium (Thermo-)Dynamics in Electronic and Electrochemical Processes. Entropy (Basel, Switzerland) 22 (9) (2020)
Marlon Rück, Batyr Garlyyev, Felix Mayr, Aliaksandr S Bandarenka, Alessio Gagliardi
Oxygen Reduction Activities of Strained Platinum Core-Shell Electrocatalysts Predicted by Machine Learning. The journal of physical chemistry letters 11 (5) (2020)
Obaidur Rahaman, Alessio Gagliardi
Deep Learning Total Energies and Orbital Energies of Large Organic Molecules Using Hybridization of Molecular Fingerprints. Journal of chemical information and modeling 60 (12) (2020)
Waldemar Kaiser, Alessio Gagliardi
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 10 (20) (2019)
Marlon Rück, Aliaksandr S Bandarenka, Federico Calle-Vallejo, Alessio Gagliardi
Oxygen Reduction Reaction: Rapid Prediction of Mass Activity of Nanostructured Platinum Electrocatalysts. The journal of physical chemistry letters 9 (15) (2018)