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Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

open access: yesAdvanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger   +14 more
wiley   +1 more source

Dataset effects outweigh algorithmic effects in determining fairness of healthcare machine learning. [PDF]

open access: yesNPJ Digit Med
Elgendi M   +6 more
europepmc   +1 more source
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Emission and sectoral energy intensity: a variance decomposition analysis

Management of Environmental Quality: An International Journal, 2022
PurposeIn the backdrop of growing global concern on escalating CO2 emission leading to climate disorder and controversy between economic growth and environment, this study undertakes a decomposition analysis of the top 20 emitters of the world during 1992–2016 with two objectives: to identify the relative contribution of the major driving factors in ...
Ujjaini Mukhopadhyay, Ratnakar Pani
openaire   +1 more source

A neural-network-based variance decomposition sensitivity analysis

International Journal of Nuclear Knowledge Management, 2007
This paper describes the implementation of an artificial neural network for obtaining the numerous model output calculations within a variance decomposition scheme for performing the model sensitivity analysis with respect to both individual and grouped parameters. A case study concerning the identification of the input variables mostly contributing to
CADINI, FRANCESCO   +4 more
openaire   +5 more sources

A variance decomposition approach to the analysis of genetic algorithms

Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013
Prediction of the evolutionary process is a long standing problem both in the theory of evolutionary biology and evolutionary computation (EC). It has long been realized that heritable variation is crucial to both the response to selection and the success of genetic algorithms.
Paixão, Tiago; Barton, Nicholas H
openaire   +2 more sources

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