11 citations · 16 across the 3 of their papers we have counts for
7 papers
Machine-Learning-Optimized Perovskite Nanoplatelet Synthesis
Carola Lampe, Ioannis Kouroudis, Milan Harth +3
With the demand for renewable energy and efficient devices rapidly increasing, a need arises to find and optimize novel (nano)materials. This can be an extremely tedious process, o…
Defect Spectroscopy and Non-Ionizing Energy Loss Analysis of Proton and Electron Irradiated p-type GaAs Solar Cells
Carmine Pellegrino, Alessio Gagliardi, Claus G. Zimmermann
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Journal of Applied Physics…
Global property prediction: A benchmark study on open source, perovskite-like datasets
Felix Mayr, Alessio Gagliardi
Screening combinatorial space for novel materials - such as perovskite-like ones for photovoltaics - has resulted in a high amount of simulated high-troughput data and analysis the…
Non-equilibrium thermodynamics of charge separation in organic solar cells
Waldemar Kaiser, Veljko Jankovic, Nenad Vukmirovic +1
This work presents a novel theoretical description of the non-equilibrium thermodynamics of charge separation process in organic solar cells (OSCs). Using the theory of stochastic…
Oxygen Reduction Reaction: Rapid Prediction of Mass Activity of Unstrained Nanostructured Platinum Electrocatalysts
Marlon Rueck, Aliaksandr Bandarenka, Federico Calle-Vallejo +1
Tailored Pt nanoparticle catalysts are promising candidates to accelerate the oxygen reduction reaction (ORR) in fuel cells. However, the search for active nanoparticle catalysts i…
Large deviation theory to model systems under an external feedback
Alessio Gagliardi, Alessandro Pecchia, Aldo Di Carlo
In this paper we address the problem of systems under an external feedback. This is performed using a large deviation approach and rate distortion from information theory. In parti…