Results 51 to 60 of about 29,223 (165)
Evaluating machine‐learning models for wind‐speed downscaling from ECMWF‐IFS data
Quarterly Journal of the Royal Meteorological Society, EarlyView.We benchmark recent machine‐learning methods for downscaling wind speeds from a low‐resolution 9‐km model input to 1‐km predictions. We include recent super‐resolution approaches and transformer‐based architectures and propose Windflow‐SRnet. The models are trained with input data from the ECMWF‐IFS numerical weather model to predict label data from ...
William Ericson +5 more
wiley +1 more source
Uniqueness of signed measures solving the continuity equation for Osgood vector fields
, 2008 Nonnegative measure-valued solutions of the continuity equation are uniquely determined by their initial condition, if the characteristic ODE associated to the velocity field has a unique solution. In this paper we give a partial extension of this result
Ambrosio, Luigi, Bernard, Patrick
core +2 more sources
Machine Learning for Maximizing the Memristivity of Single and Coupled Quantum Memristors
Advanced Quantum Technologies, EarlyView.Machine learning (ML) methods are proposed to characterize the memristive properties of single and coupled quantum memristors. It is shown that maximizing the memristivity leads to large values in the degree of entanglement of two quantum memristors, unveiling the close relationship between quantum correlations and memory.
Carlos Hernani‐Morales +5 more
wiley +1 more source
Rheumatology &Autoimmunity, EarlyView.Mechanisms and therapeutic targets in psoriatic arthritis: balancing inflammatory bone resorption and bone formation. Abstract Psoriatic arthritis (PsA) is a chronic inflammatory disease characterized by diverse clinical manifestations. Of particular concern, osteopenia and osteoporosis are prevalent in 45.27% and 12.94% of PsA patients, respectively ...
Yingchao Sun +3 more
wiley +1 more source
A Physics‐Informed Learning Framework to Solve the Infinite‐Horizon Optimal Control Problem
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT We propose a physics‐informed neural networks (PINNs) framework to solve the infinite‐horizon optimal control problem of nonlinear systems. In particular, since PINNs are generally able to solve a class of partial differential equations (PDEs), they can be employed to learn the value function of the infinite‐horizon optimal control problem via
Filippos Fotiadis +1 more
wiley +1 more source
Spacetime deployments parametrized by gravitational and electromagnetic fields
, 2004 On the basis of a "Punctual" Equivalence Principle of the general relativity context, we consider spacetimes with measurements of conformally invariant physical properties.
Grandou, Thierry, Rubin, Jacques L.
core +1 more source
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This work investigates three energy‐shaping control approaches to address the trajectory‐tracking problem for specific classes of underactuated mechanical systems. In particular, the notions of contractive systems and dynamic extensions are utilized to solve the trajectory‐tracking problem while addressing implementation issues such as the ...
N. Javanmardi +4 more
wiley +1 more source
Smart Molecules, EarlyView.A density functional theory study of tyrosine and proton‐assisted transport in an Ag‐based nanodevice is presented. The study confirms the hypothesis that tyrosine molecules enable proton‐mediated charge transport in Ag conductive filaments. Both relative tyrosine–Ag atom placement and proton concentrations were investigated.
Dan Berco
wiley +1 more source
Forward-backward SDEs with distributional coefficients
, 2018 Forward-backward stochastic differential equations (FBSDEs) have attracted significant attention since they were introduced almost 30 years ago, due to their wide range of applications, from solving non-linear PDEs to pricing American-type options. Here,
Issoglio, Elena, Jing, Shuai
core
High Voltage, EarlyView.ABSTRACT Digital twin is considered the key technique for real‐time monitoring and life‐cycle management of electric equipment. To construct the digital twin model of electric equipment, a multi‐parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.
Ze Guo, Zuqi Tang, Zhuoxiang Ren
wiley +1 more source