Results 121 to 130 of about 1,628,973 (292)

Selective Ion‐Blocking Strategy for Stabilizing Perovskite Tandem Solar Cells

Advanced Energy Materials, EarlyView.
A selective ion‐blocking Li─T interlayer is introduced at LiF‐passivated perovskite interfaces to suppress fluorine diffusion while preserving the beneficial interfacial passivation of LiF. This ion‐blocking strategy markedly improves the long‐term operational stability of both single‐junction and monolithic all‐perovskite tandem cells under continuous
Sunwoo Kim, Hangyeol Choi, Doyun Im, Yeonghun Yun, Won Chang Choi, Jungchul Yun, Hyun Seo Park, Nagyeong Hyeon, Dong Hyun Kim, Gill Sang Han, Junesic Park, Gwang Min Sun, Jun Hong Noh, Ji‐Sang Park, Yohan Yoon, Sangwook Lee   +15 more
wiley   +1 more source

Economic and Environmental Tradeoffs in Cultivating Short Food Supply Chains With Urban Indoor Agriculture

Agribusiness, EarlyView.
ABSTRACT This study advances the literature on sustainable urban agriculture and alternative sustainable food production systems, which have gained momentum due to the need to strengthen regional food supply chains and meet the growing urban demand for fresh food. Indoor agriculture (IA) holds promise for year‐round cultivation of fresh produce even in
Joseph Seong, H. Christopher Peterson, Simone Valle de Souza   +2 more
wiley   +1 more source

Chebyshev centers and uniform convexity [PDF]

Pacific Journal of Mathematics, 1978
openaire   +2 more sources

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

On Baskakov operators preserving the exponential function

Journal of Numerical Analysis and Approximation Theory, 2017
In this paper, we are concerned about the King-type Baskakov operators defined by means of the preserving functions \(e_{0}\) and \(e^{2ax},\ a>0\) fixed.
Ovgu Gurel Yilmaz, Vijay Gupta, Ali Aral
doaj   +2 more sources

Does Kirk's Theorem Hold for Multivalued Nonexpansive Mappings?

Fixed Point Theory and Applications, 2010
Fixed Point Theory for multivalued mappings has many useful applications in Applied Sciences, in particular, in Game Theory and Mathematical Economics.
Domínguez Benavides T, Gavira B
doaj  

Tripled Fixed Points and Tripled Best Proximity Points in Modular Function Spaces

AppliedMath
We establish a modular-space framework for the study of tripled fixed points and tripled best proximity points. Under suitable assumptions on the underlying modular (convexity, the Δ2 property, uniform continuity, and uniform convexity-type properties ...
Aynur Ali, Miroslav Hristov, Atanas Ilchev, Diana Nedelcheva, Boyan Zlatanov   +4 more
doaj   +1 more source

Computing uniform convex approximations for convex envelopes and convex hulls

, 2008
Nous établissons une procédure numérique pour approcher uniformément par une suite de fonctions convexes., l'enveloppe convexe d'une fraction rationnelle ayant pour domaine, D, un ensemble de dimension finie supposée compacte et semi-algébrique. Calculer la valeur d'une approximation en un point donné de K=co(D) se résume à résoudre un programme semi ...
Laraki, Rida, Lasserre, Jean-Bernard
openaire   +2 more sources

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source