Results 121 to 130 of about 2,216,546 (285)

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
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

Assessment of Ordinary Kriging and Inverse Distance Weighting Methods for Modeling Chromium and Cadmium Soil Pollution in E-Waste Sites in Douala, Cameroon. [PDF]

J Health Pollut, 2020
Ouabo RE, Sangodoyin AY, Ogundiran MB.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Statistical inference for inverse problems [PDF]

In this paper we study statistical inference for certain inverse problems. We go beyond mere estimation purposes and review and develop the construction of confidence intervals and confidence bands in some inverse problems, including deconvolution and ...
Bissantz, Nicolai, Holzmann, Hajo
core  

Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells

Advanced Materials, EarlyView.
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, Christopher Wöpke, Toni Seiler, Jared Faisst, Mathias List, Meike Kuhn, Bekcy Joseph, Alexander Ehm, Dietrich R. T. Zahn, Yana Vaynzof, Eva M. Herzig, Roderick C. I. Mackenzie, Uli Würfel, Maria Saladina, Carsten Deibel   +14 more
wiley   +1 more source

Application of geostatistical methods for reconstruction of lithological and mineralogical structure of uranium deposit by interpolating well data

Вестник КазНУ. Серия математика, механика, информатика, 2017
During the development of uranium deposits that use in-situ leaching extraction method, mineralogical and lithological structure of sub terrain media remains unknown and is limited to the data along the wells. In order to optimize the development process,
D. Y. Aizhulov, M. B. Kurmanseiit, M. S. Tungatarova   +2 more
doaj  

Emergent Spin Supersolids in Frustrated Quantum Materials

Advanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang, Seiji Yunoki, Sadamichi Maekawa   +2 more
wiley   +1 more source

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

Nonlinear transformation of probabilities by large language models

Computers in Human Behavior: Artificial Humans
Large Language Models (LLMs) such as ChatGPT and Claude demonstrate impressive abilities to generate meaningful text and mimic human-like responses. While they undoubtedly can boost human performance, there is also the risk that uninstructed users rely ...
Arend Hintze, Charu Bisht, Jory Schossau, Ralph Hertwig   +3 more
doaj   +1 more source

Chloride Ions: Essential Agents for Achieving Spontaneous Delamination of MXene

Advanced Materials, EarlyView.
This work first identifies chloride ions as essential agents for spontaneous MXene delamination. Without Cl−, etched Ti3C2Tx remains multilayered; with Cl−, interlayer modification enables Li+ intercalation and osmotic swelling. The SPEED process couples HF‐assisted Al extraction, Cl−‐mediated interlayer expansion, and Li+‐driven swelling to produce ...
Sukhyeun Jang, Yong‐Jae Kim, Incheol Jeong, Minju Kim, Jaewoong Lee, Jihan Kim, Ki‐Min Roh, Kang Taek Lee, Seon Joon Kim, Yonghee Lee, Chi Won Ahn, Hee‐Tae Jung   +11 more
wiley   +1 more source