The Value of Device Characterization for the Optimization of Organic Solar Cells
Using the example of organic photovoltaics (OPV), this study examines whether and when additional measurements can be helpful in process optimization. A virtual laboratory based on real solar cells serves as a benchmark function to compare two different approaches for process optimization, namely black‐box optimization (black circle) and model‐based ...
Leonard Christen+4 more
wiley +1 more source
Convolutional Neural Network-Based Electromagnetic Imaging of Uniaxial Objects in a Half-Space. [PDF]
Chiu CC, Chiang JS, Chen PH, Jiang H.
europepmc +1 more source
This review highlights advanced methods for detecting and managing over‐humidification in polymer electrolyte fuel cells (PEFCs), emphasizing innovative sensors, simulation techniques, and imaging methods. By addressing the impact of water management on fuel‐cell performance and durability, this study outlines practical and sustainable solutions for ...
Maximilian Käfer+2 more
wiley +1 more source
Inverse binary optimization of convolutional neural network in active learning efficiently designs nanophotonic structures. [PDF]
Park J, Xu Z, Park GM, Luo T, Lee E.
europepmc +1 more source
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng+10 more
wiley +1 more source
FRNet V2: A Lightweight Full-Resolution Convolutional Neural Network for OCTA Vessel Segmentation. [PDF]
Gao D, Wang L, Fang Y, Jiang D, Zheng Y.
europepmc +1 more source
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley +1 more source
Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network. [PDF]
Hao R, Bai Y, Yang K, Cheng Y, Chang S.
europepmc +1 more source
A generative AI system is developed for colorizing phase contrast images of human pluripotent stem cell (hPSC)‐derived cardiac organoids (COs) from bright‐field microscopic imaging using conditional generative adversarial networks (cGANs). By giving these phase contrast images with multichannel fluorescence colorization, this intelligence system ...
Arun Kumar Reddy Kandula+6 more
wiley +1 more source
Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics. [PDF]
Jungrungrueang T+4 more
europepmc +1 more source