The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Deriving and comparing healthy longevity distributions by gender and health prevalence measures: a statistical moments and maximum entropy approach. [PDF]
Cosulich R, di Lego V, Zarulli V.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Identification of risk factors and development of a predictive model for foetal growth restriction: a retrospective case-control study. [PDF]
Shao XF.
europepmc +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
Energy-efficient fragmentation-aware dual adaptive collision-free bit mapping MAC protocol for VANET. [PDF]
Alanazi F +5 more
europepmc +1 more source
Predicting progression-free survival in glioblastoma with neuroimaging and machine learning. [PDF]
Hickman-Chow DA +5 more
europepmc +1 more source
On GRAND-Assisted Vector Random Linear Network Coding in Wireless Broadcasts. [PDF]
Su R, Zhao C, Sun Q, Song L.
europepmc +1 more source
Rumor propagation dynamic analysis model based on hypergraph integration in public health events. [PDF]
Zhang M, Zhang X, Li F.
europepmc +1 more source

