Results 161 to 170 of about 107,267 (309)
Representation of Generalized Inverse Matrices [PDF]
8 pages, 1 article*Representation of Generalized Inverse Matrices* (Urquhart, N.
Cornell University. Dept. of Biological Statistics and Computational Biology. +3 more
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Double‐Transition‐Metal MXenes: Multimetallic 2D Platforms for Next‐Generation Biomedicine
The present work explores recent progress in double‐transition‐metal MXenes and focuses on their potential as multifunctional biomedical nanoplatforms whose tunable optical, electronic, mechanical, and surface properties enable imaging, theranostics, antimicrobial activity, biosensing, tissue engineering, and drug delivery.
Parsa Namakiaraghi +2 more
wiley +1 more source
Derivative Pricing and Hedging on Carbon Market [PDF]
The aim of this work is to bring an econometric approach upon the CO2 market. We identify the specificities of this market, and analyze the carbon as a commodity.
Dominique Guegan, Marius-Cristian Frunza
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Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
A unified approach to solve ill-posed inverse problems in econometrics [PDF]
We consider the general issue of estimating a nonparametric function x from the inverse problem r = Tx given estimates of the function r and of the linear transform T. Two typical examples include the estimation of a probability density function fromdata
VANHEMS, Anne +2 more
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We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
The Benefit Function Approach to Modeling Price-Dependent Demand Systems: An Application of Duality Theory [PDF]
In this article we advocate more extensive use of the benefit function in specifying price-dependent or inverse demand models. In particular, we demonstrate how duality theory may be used to establish the inter-relationships between the Marshallian (or ...
Keith R. McLaren, K. K. Gary Wong
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This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source

