Results 81 to 90 of about 109,140 (374)

A review of applied methods in Europe for flood-frequency analysis in a changing environment [PDF]

, 2013
The report presents a review of methods used in Europe for trend analysis, climate change projections and non-stationary analysis of extreme precipitation and flood frequency.
Kjeldsen, T.R., Lang, M., Lawrence, D., Madsen, H., Martinkova, M.   +4 more
core  

"Zero-Shot" Super-Resolution using Deep Internal Learning

, 2017
Deep Learning has led to a dramatic leap in Super-Resolution (SR) performance in the past few years. However, being supervised, these SR methods are restricted to specific training data, where the acquisition of the low-resolution (LR) images from their ...
Cohen, Nadav, Irani, Michal, Shocher, Assaf   +2 more
core   +1 more source

Downscaling of fracture energy during brittle creep experiments [PDF]

, 2011
We present mode 1 brittle creep fracture experiments along fracture surfaces that contain strength heterogeneities. Our observations provide a link between smooth macroscopic time-dependent failure and intermittent microscopic stress-dependent processes.
Ampuero, J.-P., Elkhoury, J. E., Lengliné, O., Måløy, K. J., Schmittbuhl, J., Toussaint, R.   +5 more
core   +4 more sources

Spin and Charge Control of Topological End States in Chiral Graphene Nanoribbons on a 2D Ferromagnet

Advanced Materials, EarlyView.
Chiral graphene nanoribbons on a ferromagnetic gadolinium‐gold surface alloy display tunable spin and charge states at their termini. Atomic work function variations and exchange fields enabe transitions between singlet, doublet, and triplet configurations.
Leonard Edens, Francisco Romero‐Lara, Trisha Sai, Kalyan Biswas, Manuel Vilas‐Varela, Thomas Frederiksen, Diego Peña, Fabian Schulz, Jose Ignacio Pascual   +8 more
wiley   +1 more source

Comparing Regression Techniques for Temperature Downscaling in Different Climate Classifications

Engineering Proceedings, 2023
This study aims to identify the optimal regression techniques for downscaling among ten commonly used methods in climatology, including SVR, LinearSVR, LASSO, LASSOCV, Elastic Net, Bayesian Ridge, RandomForestRegressor, AdaBoost Regressor, KNeighbors ...
Ali Ilghami Kkhosroshahi, Mohammad Bejani, Hadi Pourali, Arman Hosseinpour Salehi   +3 more
doaj   +1 more source

High‐Performance Air‐Stable Polymer Monolayer Transistors for Monolithic 3D CMOS logics

Advanced Materials, EarlyView.
A fibrillar polymer monolayer with a self‐confinement effect is demonstrated, in which aligned chains parallel the nanofiber axis. Employing a top‐gate CYTOP dielectric, this monolayer transistor achieves high mobility (7.12 cm2 V−1 s−1) and exceptional stability over 1260 days in air.
Miao Cheng, Yanqin Zhang, Jinyao Wang, Haonan Wang, Yifan Xie, Shuaidi Zhang, Changrui Liu, Jingyun Chu, Feng Zhang, Zhenzhong Yang, Zilong Zheng, Mingjian Wu, Ling Li, Mengmeng Li   +13 more
wiley   +1 more source

Estimating pros and cons of statistical downscaling based on EQM bias adjustment as a complementary method to dynamical downscaling

Scientific Reports
The increasing availability of coarse-scale climate simulations and the need for ready-to-use high-resolution variables drive the climate community to the challenge of reducing computational resources and time for downscaling purposes.
Alfredo Reder, Giusy Fedele, Ilenia Manco, Paola Mercogliano   +3 more
doaj   +1 more source

The CORDEX.be initiative as a foundation for climate services in Belgium [PDF]

, 2018
The CORDEX.be project created the foundations for Belgian climate services by producing high-resolution Belgian climate information that (a) incorporates the expertise of the different Belgian climate modeling groups and that (b) is consistent with the ...
Bauwens, Maite, Caluwaerts, Steven, De Cruz, Lesley, De Ridder, Koen, De Troch, Rozemien, Doutreloup, Sébastien, Duchêne, François, Fettweis, Xavier, Giot, Olivier, Gobin, Anne, Hamdi, Rafiq, Hosseinzadehtalaei, Parisa, Lauwaet, Dirk, Luyten, Patrick, Marbaix, Philippe, Müller, Jean-François, Ponsar, Stéphanie, Pottiaux, Eric, Scholzen, Chloé, Stavrakou, Trissevgeni, Tabari, Hossein, Termonia, Piet, Van den Eynde, Dries, Van Lipzig, Nicole, Van Schaeybroeck, Bert, Van Uytven, Els, Van Ypersele, Jean-Pascall, Vanden Broucke, Sam, Vannitsem, Stéphane, Villanueva-Birriel, Cecille, Willems, Patrick, Wouters, Hendrik, Wyard, Coraline   +32 more
core   +2 more sources

On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections

Climate Dynamics, 2021
In a recent paper, Baño-Medina et al. (Configuration and Intercomparison of deep learning neural models for statistical downscaling. preprint, 2019) assessed the suitability of deep convolutional neural networks (CNNs) for downscaling of temperature and ...
J. Baño-Medina, R. Manzanas, J. Gutiérrez   +2 more
semanticscholar   +1 more source

Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era

Advanced Materials, EarlyView.
In this Review, the state of art of ferroelectric hybrid systems—combining ferroelectrics, 2D semiconductors, and molecular switches is presented—as next‐generation platforms for high‐density, multifunctional electronics. By discussing 2D FeFET applications, nanoscale material downscaling, M3D integration, and emerging ferroelectrics, it highlights ...
Haixin Qiu, Xiaoshi Qian, Dahong Qian, Paolo Samorì   +3 more
wiley   +1 more source