Results 151 to 160 of about 794,201 (275)
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
Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence. [PDF]
Cooke RM, Wielicki B.
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
Probabilistic logic under coherence and default reasoning
In this paper we study a probabilistic logic based on the notion of coherence of de Finetti. We first recall the notion of coherence for precise conditional probability assessments, then we consider its generalization to the case of imprecise assessments.
GILIO, ANGELO
core
Divergent patterns of probabilistic reasoning in humans and GPT-5. [PDF]
Imannezhad P, Pothos EM, Wills AJ.
europepmc +1 more source
Reducing Ni nanoparticle coverage on n‐Si photoanodes enhances photovoltage by promoting thicker interfacial SiOx formation during photoelectrochemical oxygen evolution reaction (OER). Experiments, analytical modeling, and finite‐element simulations reveal that coverage‐dependent chemical interface evolution, rather than geometric effects alone ...
Aarti Mathur, Ahmet Sert, Suljo Linic
wiley +1 more source
Modeling information demand in the framework of probabilistic reasoning. [PDF]
Jiwa MW, Gottlieb J.
europepmc +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
Bayesian teaching enables probabilistic reasoning in large language models. [PDF]
Qiu L +5 more
europepmc +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

