269 citations · 474 across the 9 of their papers we have counts for
11 papers
A Simultaneous Synergistic Protection Mechanism in Hybrid Perovskite-Organic Multi-junctions Enables Long-Term Stable and Efficient Tandem Solar Cells
Chao Liu, Kaicheng Zhang, Xin Zhou +22
Perovskite-organic tandem solar cells (P-O TSCs) hold great promise for next-generation thin-film photovoltaics, with steadily improving power conversion efficiency (PCE). However,…
Discovering one molecule out of a million: inverse design of molecular hole transporting semiconductors tailored for perovskite solar cells
Jianchang Wu, Luca Torresi, ManMan Hu +17
The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential, but has not yet been realized1,2. The complexit…
Precise Control of Process Parameters for >23% Efficiency Perovskite Solar Cells in Ambient Air Using an Automated Device Acceleration Platform
Jiyun Zhang, Anastasia Barabash, Tian Du +14
Achieving high-performance perovskite photovoltaics, especially in ambient air relies heavily on optimizing process parameters. However, traditional manual methods often struggle t…
An integrated system built for small-molecule semiconductors via high-throughput approaches
Jianchang Wu, Jiyun Zhang, Manman Hu +16
High-throughput synthesis of solution-processable structurally variable small-molecule semiconductors is both an opportunity and a challenge. A large number of diverse molecules pr…
Georeferencing of Photovoltaic Modules from Aerial Infrared Videos using Structure-from-Motion
Lukas Bommes, Claudia Buerhop-Lutz, Tobias Pickel +3
To identify abnormal photovoltaic (PV) modules in large-scale PV plants economically, drone-mounted infrared (IR) cameras and automated video processing algorithms are frequently u…
Anomaly Detection in IR Images of PV Modules using Supervised Contrastive Learning
Lukas Bommes, Mathis Hoffmann, Claudia Buerhop-Lutz +5
Increasing deployment of photovoltaic (PV) plants requires methods for automatic detection of faulty PV modules in modalities, such as infrared (IR) images. Recently, deep learning…
Computer Vision Tool for Detection, Mapping and Fault Classification of PV Modules in Aerial IR Videos
Lukas Bommes, Tobias Pickel, Claudia Buerhop-Lutz +3
Increasing deployment of photovoltaics (PV) plants demands for cheap and fast inspection. A viable tool for this task is thermographic imaging by unmanned aerial vehicles (UAV). In…
PV Modules and Their Backsheets -- A Case Study of a Multi-MW PV Power Station
Claudia Buerhop-Lutz, Oleksandr Stoyuk, Tobias Pickel +3
Degradation of backsheets (BS) and encapsulant polymer components of silicon PV modules is recognized as one of the main reasons for losses in PV plant performance and lifetime exp…
The Evolution of Materials Acceleration Platforms -- Towards the Laboratory of the Future with AMANDA
Jerrit Wagner, Christian G. Berger, Xiaoyan Du +3
The development of complex functional materials poses a multi-objective optimization problem in a large multidimensional parameter space. Solving it requires reproducible, user ind…
Beyond Ternary OPV: High-Throughput Experimentation and Self-Driving Laboratories Optimize Multi-Component Systems
Stefan Langner, Florian Häse, José Darío Perea +6
Fundamental advances to increase the efficiency as well as stability of organic photovoltaics (OPVs) are achieved by designing ternary blends which represents a clear trend towards…
Dynamic Fracture in Single Crystal Silicon
Jens A. Hauch, Dominic Holland, M. P. Marder +1
We have measured the velocity of a running crack in brittle single crystal silicon as a function of energy flow to the crack tip. The experiments are designed to permit direct comp…