Results 251 to 260 of about 890,794 (377)
Discerning Performance Bottlenecks of State‐of‐the‐Art Narrow Bandgap Organic Solar Cells
This work quantitatively discerns the loss mechanisms of state‐of‐the‐art low‐bandgap organic solar cells based on BTPV‐4X‐eC9 acceptors. Compared to PM6:Y6, geminate recombination of charge transfer (CT) states governs photocurrent losses. This relates to conformational freedom of these acceptors that restricts their aggregation, and also counteracts ...
Atul Shukla+19 more
wiley +1 more source
Author Correction: On-surface synthesis of triangulene trimers via dehydration reaction. [PDF]
Cheng S+8 more
europepmc +1 more source
ABSTRACT Large‐scale bioreactors in industrial bioprocesses pose challenges due to extracellular concentration gradients and intracellular heterogeneity. This study introduces a novel approach integrating the method of moments with truncated normal distributions (MM‐TND) to model intracellular heterogeneity while maintaining computational feasibility ...
Ittisak Promma+3 more
wiley +1 more source
Discovery of H 3 + and infrared aurorae at Neptune with JWST. [PDF]
Melin H+14 more
europepmc +1 more source
Reports on the Progress of Astronomy the Determination of Cosmic Abundances [PDF]
openalex +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender+2 more
wiley +1 more source
Challenges and opportunities for time-delay cosmography with multi-messenger gravitational lensing. [PDF]
Birrer S+4 more
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu+4 more
wiley +1 more source