Results 111 to 120 of about 252,059 (263)
Linking an auxiliary dibenzo[b,d]tellurophene unit markedly accelerates exciton spin conversion in multi‐resonance‐type thermally activated delayed fluorescence emitters. Owing to the heavy‐atom effect of tellurium, the corresponding OLEDs retain remarkably high external electroluminescence quantum efficiencies exceeding 25% even at an exceptionally ...
Peiyuan Yang +3 more
wiley +2 more sources
Geochemical distribution and genesis of selenium-rich soils in Maojie Town on the Yunnan low-selenium belt. [PDF]
Dong C +5 more
europepmc +1 more source
S. Lippman +33 more
semanticscholar +1 more source
Device Performance of Emerging Photovoltaic Materials (Version 6)
Efficiency of single junction perovskite (circles), organic (hexagons), dye sensitized (pentagons), kesterite (diamonds), Sb2Se3 (right triangle), and AgBiS2 (left triangles) solar cells at emerging‐pv.org over the last decade. ABSTRACT This 6th annual Emerging PV Report surveys peer‐reviewed advances since August 2024 across perovskite, organic ...
Osbel Almora +29 more
wiley +1 more source
Effects of supplementing with Nigella sativa meal and selenium nano-particles on growth performance, immunity, microbial count, oxidative stability, and intestinal integrity-related gene expression in heat-stressed growing rabbits. [PDF]
Elbaz AM +3 more
europepmc +1 more source
Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao +4 more
wiley +1 more source
The association between non-alcoholic fatty liver disease with blood selenium level based on the NHANES 2017-2020. [PDF]
Chen J, Jiang H, Fang X.
europepmc +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source

