Results 201 to 210 of about 6,227,183 (247)
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
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
Mixed‐cation lead mixed‐halide perovskites suffer from structural instabilities linked to nanoscale heterogeneity. To probe this non‐destructively, a low‐dose, concurrent 4D‐STEM and EDX methodology has been developed. Examining a (FA0.83Cs0.17)Pb(I0.8Br0.2)3 film revealed a complex mosaic of coexisting crystal structures. Crucially, local deficiencies
Jinseok Ryu +6 more
wiley +1 more source
Nano‐Architected Metallic Metamaterial With Enhanced Fatigue Resistance via Dislocation Starvation
Nanoscale Ni single crystals exhibit remarkable fatigue resistance over an order of magnitude higher than that of bulk single crystals through dislocation starvation. By translating this mechanism into geometric nano‐architecture, nano‐architected Ni single‐crystal metamaterials achieve about twice the fatigue resistance of the bulk, despite their ...
Kota Sugisaka +7 more
wiley +1 more source
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju +9 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi +13 more
wiley +1 more source
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Lottery Decisions and Probability Weighting Function
Journal of Risk and Uncertainty, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Georges Dionne
exaly +2 more sources
On the Shape of the Probability Weighting Function
Cognitive Psychology, 1999Empirical studies have shown that decision makers do not usually treat probabilities linearly. Instead, people tend to overweight small probabilities and underweight large probabilities. One way to model such distortions in decision making under risk is through a probability weighting function.
R, Gonzalez, G, Wu
openaire +2 more sources
Alternative Probability Weighting Functions in Behavioral Portfolio Selection
2022We propose some portfolio selection models based on Cumulative Prospect Theory. In particular, we consider alternative probability weighting functions in order to model probability distortion. The resulting mathematical programming problem turns out to be highly non-linear and non-differentiable.
Diana Barro +2 more
openaire +1 more source

