Results 151 to 160 of about 4,322 (253)
Metal‐halide perovskite solar cells offer high‐efficiency power for orbital missions but suffer from permanent proton‐induced degradation. This work identifies non‐ionizing energy loss (NIEL) as the primary driver of irreversible failure, inducing atomic displacements and microcracks in the high‐fluence regime. Through energy‐tuned mapping and scalable
Jangwon Byun +10 more
wiley +1 more source
Phonon-driven wavefunction localization enhances room-temperature single-photon purity in large hybrid lead halide perovskite quantum dots. [PDF]
Feld LG +17 more
europepmc +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Incorporation of N‐based onium ions into the ionic framework of poly(heptazine imide) was obtained via protonation‐deprotonation of PHI frameworks arising from a parent Na‐containing analogue. Particularly, methylammonium moieties, through their small molecular size, hydrogen bonding capabilities and rotational mobility, appear to stabilize ...
Dingqiao Ji +6 more
wiley +2 more sources
Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots. [PDF]
Lan S, Si J, Xu W, Yang L, Lin J, Wu C.
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
A Nonbenzenoid Nanographene Horse Saddle With Four Pentagon–Octagon Pairs
Horse‐saddle molecule: We report herein the design and synthesis of an unprecedented saddle‐shaped non‐benzenoid Nanographene featuring a fused four‐pair pentagon–octagon core. The horse‐saddle structure of HN1 is determined by single‐crystal X‐ray diffraction.
Qiang Huang +11 more
wiley +2 more sources
Machine learning models for accurately predicting properties of CsPbCl<sub>3</sub> Perovskite quantum dots. [PDF]
Çadırcı MS, Çadırcı M.
europepmc +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
HEO‐regulated electronic structure drives nonradical PI activation, promoting ETP‐mediated polymerization of 4CP into high‐molecular‐weight products with enhanced surface enrichment. Concurrent dechlorination occurs via radical coupling and •OHads attack, enabling efficient carbon retention and selective product evolution at the liquid–solid interface.
Ziwei Yao +8 more
wiley +2 more sources

