Results 21 to 30 of about 78 (78)
Physics‐based inverse modeling of battery degradation with Bayesian methods
To further improve Lithium‐ion batteries (LiBs), a profound understanding of complex battery processes is crucial. Physical models offer understanding but are difficult to validate and parameterize. Therefore, automated machine‐learning methods (ML) are necessary to evaluate models with experimental data. Bayesian methods, e.g., Expectation Propagation
Micha Philipp+3 more
wiley +1 more source
Abstract Exposure levels without appreciable human health risk may be determined by dividing a point of departure on a dose–response curve (e.g., benchmark dose) by a composite adjustment factor (AF). An “effect severity” AF (ESAF) is employed in some regulatory contexts.
Barbara L. Parsons+17 more
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Enhancing Energy Storage Efficiency: Advances in Battery Management Systems in Electric Vehicles
The rapid adoption of electric vehicles (EVs) underscores the urgent need for advanced battery management systems (BMS) to ensure safety, efficiency, and reliability. This article delves into the core functionalities of BMS, including state estimation, thermal management, and cell balancing, which are pivotal for optimizing battery performance ...
Hamid Naseem+3 more
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Studies on Fractional Differential Equations With Functional Boundary Condition by Inverse Operators
ABSTRACT Fractional differential equations (FDEs) generalize classical integer‐order calculus to noninteger orders, enabling the modeling of complex phenomena that classical equations cannot fully capture. Their study has become essential across science, engineering, and mathematics due to their unique ability to describe systems with nonlocal ...
Chenkuan Li
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Uniform Asymptotic Stability of a PDE'S System Arising From a Flexible Robotics Model
ABSTRACT In this paper, we investigate the uniform asymptotic stability of a fourth‐order partial differential equation with a fading memory forcing term and boundary conditions arising from a flexible robotics model. To achieve this goal, the model is reformulated in an abstract framework using the C0$$ {C}_0 $$‐semigroup theory.
Tiziana Cardinali+2 more
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Homogenization of Solute Transport in Double Porosity Materials
ABSTRACT We propose a novel model for the transport of solute in a vascularized poroelastic material. Our structure comprises a poroelastic matrix with an embedded connected fluid compartment, and we consider a solute transported between the two subdomains.
Pietro Mascheroni+2 more
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Unveiling New Perspectives on the Hirota–Maccari System With Multiplicative White Noise
ABSTRACT In this study, we delve into the stochastic Hirota–Maccari system, which is subjected to multiplicative noise according to the Itô sense. The stochastic Hirota–Maccari system is significant for its ability to accurately model how stochastic affects nonlinear wave propagation, providing valuable insights into complex systems like fluid dynamics
Mohamed E. M. Alngar+3 more
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ABSTRACT In bio‐social models, cooperative behavior has evolved as an adaptive strategy, playing multi‐functional roles. One of such roles in populations is to increase the success of the survival and reproduction of individuals and their families or social groups.
Sangeeta Saha+2 more
wiley +1 more source
ABSTRACT In this paper, we present a stable numerical scheme for solving two‐dimensional m$$ m $$‐component reaction–diffusion systems. The proposed approach utilizes the backward Euler method for temporal discretization and the hybridized discontinuous Galerkin (HDG) method for spatial discretization.
Shima Baharlouei+2 more
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Nonlocal Mixed Systems With Neumann Boundary Conditions
ABSTRACT We prove well posedness and stability in L1$$ {\mathbf{L}}^1 $$ for a class of mixed hyperbolic–parabolic nonlinear and nonlocal equations in a bounded domain with no flow along the boundary. While the treatment of boundary conditions for the hyperbolic equation is standard, the extension to L1$$ {\mathbf{L}}^1 $$ of classical results about ...
Rinaldo M. Colombo+2 more
wiley +1 more source