Results 111 to 120 of about 89,992 (292)

Some Ostrowski type inequalities via $ n $-polynomial exponentially $ s $-convex functions and their applications

, 2021
Muhammad Tariq, Soubhagya Kumar Sahoo, Jamshed Nasir, Hassen Aydi, Habes Alsamir, Université de Sousse, Institut Supérieur d'Informatique et des Techniques de Communication, H. Sousse 4000, Tunisia   +5 more
openalex   +1 more source

Temperature‐dependent shear behavior and constitutive model of the rock–concrete interface

Deep Underground Science and Engineering, EarlyView.
Shear tests were conducted to investigate the temperature‐dependent shear behavior of the rock–concrete interface, highlighting the interaction between the surrounding rock and the lining during tunnel fires. Under experimental conditions, concrete exhibited greater temperature sensitivity than rock, with the shear fracture surface transitioning from ...
Hongbin Chen, Yujing Jiang, Rui Pan, Bin Wang, Sunhao Zhang, Jinge Zhang, Xianzhuang Ma   +6 more
wiley   +1 more source

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

Ecography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez   +4 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Low‐Carbon Optimal Scheduling of Multiple Virtual Power Plants Based on Asymmetric Nash Bargaining

Energy Science &Engineering, EarlyView.
ABSTRACT To effectively investigate the structural discrepancies and complementary energy characteristics among multiple virtual power plants (VPPs), and to improve the economic efficiency, low‐carbon performance, and operational reliability of the multi‐agent system, this paper proposes a low‐carbon collaborative optimal operation strategy for ...
Junjie Qiu, Min Liu, Yang Peng, Haiqiang Zhao, Yuanda Wu, Yongyuan Tian   +5 more
wiley   +1 more source

Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, EarlyView.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Evidence From Microscopy and U–Pb Geochronology as a Clue to the Influence of the Cretaceous Magmatism in the Diagenesis of Pre‐Salt Carbonate Reservoirs in the Santos Basin (Brazil)

Geological Journal, EarlyView.
Carbonates from Santos Basin revealed U–Pb ages correlated with basalt ages (A), suggesting that they were formed during magmatic events. These events placed hot CO2 in the reservoir, which, when mixed with carbonate‐rich cold water (B), led to thermal convection, enabling the formation of the U contained in the carbonates.
Marco António Ruivo de Castro e Brito, Cristiano Leite Sombra, Davy Raeder Brandão, Cleverson Guizan Silva, Sidney Luiz de Matos Mello, Eugênio Vaz dos Santos Neto, Rui Jorge Fernandes Baptista, Ramsés Capilla, Luiz Antônio Pierantoni Gambôa   +8 more
wiley   +1 more source

How (not) to Cage an Electron: The Perfluoro Cage Effect as an Extrinsic Molecular Property

Helvetica Chimica Acta, EarlyView.
A rigorous definition within Kohn–Sham density functional theory is presented for the notion of an caged electron inside perfluorinated fullerenes as radical anions. ABSTRACT The notion of a (molecular) electron cage was coined for the unique hosting capacity of perfluorocubane, suggesting the “encapsulation of an electron” within the highly symmetric ...
Andreas Riedmiller, Christian Mück‐Lichtenfeld, Johannes Neugebauer   +2 more
wiley   +1 more source

EXPONENTIAL INTEGRABILITY IN THE SPIRIT OF MOSER-TRUDINGER'S INEQUALITIES OF FUNCTIONS WITH FINITE NON-LOCAL, NON-CONVEX ENERGY [PDF]

, 2019
Arka Mallick, Hoài-Minh Nguyên
openalex   +1 more source

Intelligent materials for on‐demand electromagnetic absorption

InfoMat, EarlyView.
This review introduces an innovative “stimulus‐state‐property” paradigm, facilitating a fundamental transition from static to dynamically intelligent electromagnetic wave absorption (EMWA). The key advancement lies in the synergistic integration of external fields with structurally engineered metamaterials and tunable components.
Chongyang Chai, Lin Yang, Haoxu Si, Bo Hao, Yi Zhang, Cuiping Li, Jingwei Zhang, Chunhong Gong   +7 more
wiley   +1 more source