Results 41 to 50 of about 43,860 (248)
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
Two novel bonded BN‐doped polycyclic hydrocarbons BN‐Dira and BN‐Tetra with open‐shell character were rationally designed and synthesized. Their molecular structures were unambiguously confirmed by crystallographic analysis. Facilitated by their intense absorption in the NIR region, high PCE (83.6%) and good photothermal stability, BN‐Dira and BN‐Tetra
Peiyun Zeng +7 more
wiley +2 more sources
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
The extended π‐system and low‐lying n‐π∗ transition endow DDOBDiKTa with a synergistic combination of strong spin‐orbit coupling, small reorganization energy and small ΔEST, enabling this blue boron‐nitrogen‐carbonyl hybrid emitter to achieve a fast kRISC of 6.34 × 106 s−1 together with OLEDs showing small efficiency roll‐off, with EQEmax/EQE10000 of ...
Wenrui Wang +6 more
wiley +2 more sources
Heavy metal and polycyclic aromatic hydrocarbons in cigarettes: An analytical assessment
Introduction Tobacco products contain heavy metals and polycyclic aromatic hydrocarbons (PAHs) that can be released during burning. The aim of this study was to measure the concentrations in tobacco of the heavy metals: Lead (Pb), Cadmium (Cd), Chrome ...
Azhar M. Haleem +2 more
doaj +1 more source
Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen +9 more
wiley +1 more source
A Modular Standard Operating Procedure for Standardizing Lithium Metal Interfaces
A modular standard operating procedure (SOP) is developed to standardize lithium metal interfaces through sequential etching, brushing, and soaking. By transforming poorly controlled lithium surfaces into chemically uniform and structurally regulated interfaces, the framework improves electrochemical reproducibility, interfacial stability, and ...
Wen‐Hsin Chang +7 more
wiley +1 more source
Oxygenated polycyclic aromatic hydrocarbons (OPAHs) have been ubiquitously detected in atmospheric, soil, sediment, and water environments, some of which show higher concentrations and toxicities than the parent polycyclic aromatic hydrocarbons (PAHs ...
Meng Qiao +3 more
doaj +1 more source
The dynamic disulfide bonds facilitated the development of high‐performance aerospace ablation‐resistant materials. At moderate temperature, the dissociation and recombination of disulfide bonds ensured excellent processability, mechanical properties, and recycling ability of phenolic resin; at high temperature, cleavage of disulfide bonds produced ...
Yu Li +9 more
wiley +1 more source
Particulate matter-bound polycyclic aromatic hydrocarbons (PAHs) and nitro-PAHs (NPAHs) were first systematically studied in downtown (XT), suburban (GL) and rural (DA) sites in winter and summer in Hanoi, Vietnam, from 2019 to 2022.
Hao Zhang +10 more
doaj +1 more source

