Results 111 to 120 of about 508,325 (367)
Two‐Dimensional Piezoelectric Nanomaterials for Nanoelectronics and Energy Harvesting
Two‐Dimensional Piezoelectric Nanomaterials from properties to applications. Smart materials, especially piezoelectric materials, have gained popularity over the last two decades. Two‐dimensional (2D) piezoelectric materials exhibit attributes including great flexibility, ease of workability, extensive surface area, and many active sites, indicating ...
Yujun Cao +12 more
wiley +1 more source
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
Numerical investigation of some stationary solutions of the Carleman system
The negative stationary solutions of the boundary value problem for the Carleman system of equations are investigated. The kinetic Carleman system is a system of two nonlinear partial differential equations.
Vasil’eva Olga
doaj +1 more source
ABSTRACT Two large‐scale experiments investigated fire spread mechanisms in vegetation ground fires in a pine forest and an agricultural field within the European TREEADS project. The tests, conducted in Saxony‐Anhalt and Brandenburg, targeted regions with dry, sandy soils and extensive pine stands and aim to improve suppression strategies and wildfire
Andrea Klippel +6 more
wiley +1 more source
On interpolation ofq-variate stationary stochastic processes [PDF]
Habib Salehi
openalex +1 more source
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin +3 more
wiley +1 more source
On the growth of a q-variate stationary stochastic process [PDF]
Habib Salehi
openalex +1 more source
Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley +1 more source
First-passage time: a conception leading to superstatistics
To describe the nonequilibrium states of a system we introduce a new thermodynamic parameter -- the lifetime (the first passage time) of a system. The statistical distributions that can be obtained out of the mesoscopic description characterizing the ...
V.V.Ryazanov, S.G.Shpyrko
doaj +1 more source
On stationary stochastic flows and Palm probabilities of surface processes [PDF]
Günter Last, R. Schaßberger
openalex +1 more source

