27 citations · 28 across the 6 of their papers we have counts for
4 papers · 1 filter
Visualizing the Link Between Nanomorphology and Energetic Disorder in 3D Organic Solar Cells
Pelin Çiloğlu, Carmen Tretmans, Carsten Deibel +3
The performance of organic bulk heterojunction (BHJ) solar cells is highly sensitive to both nanomorphology and energetic disorder arising from microscopic molecular packing and st…
A Framework to Pinpoint Bottlenecks in Emerging Solar Cells and Disordered Devices via Differential Machine Learning
Cai Williams, Chen Wang, Alexander Ehm +4
A key challenge in the development of materials for the next generation of solar cells, sensors and transistors is linking macroscopic device performance to underlying microscopic…
The Physical Meaning of Time-Delayed Collection Field Transients from Disordered Devices
Markus Hußner, Carsten Deibel, Roderick Charles Ian MacKenzie
Charge carrier mobility and recombination determine the performance of many opto-electronic devices such as solar cells, sensors and light-emitting diodes. Understanding how these…
Machine learning for ultra high throughput screening of organic solar cells: Solving the needle in the hay stack problem
Markus Hußner, Pacalaj A. Richard, Olaf G. Müller-Dieckert +12
Over the last two decades the organic solar cell community has synthesised tens of thousands of novel polymers and small molecules in the search for an optimum light harvesting mat…