Buffering cash flows for H₂ flows: Does financial stability benefit to hydrogen energy transition, storage, and carbon risks?

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 120, P. 486 - 496

Published: March 29, 2025

Language: Английский

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Crystal structural characteristics and optical and electrical properties of Bi-doped (Ba0.8Sr0.2)(Ti0.85Zr0.15)O3 perovskite ceramics

Journal of Materials Science Materials in Electronics, Journal Year: 2025, Volume and Issue: 36(5)

Published: Feb. 1, 2025

Language: Английский

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Analytical Techniques for Studying Fractional-Order Jaulent–Miodek System Within Algebraic Context

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(1), P. 50 - 50

Published: Jan. 17, 2025

The proposed study seeks to investigate various analytical and numerical techniques for solving fractional differential equations, with a particular focus on their applications in mathematical modeling scientific research within the field of algebra. This intends methods such as Aboodh transform iteration method residual power series method, specifically addressing Jaulent–Miodek system partial equations. By analyzing behavior fractional-order equations solutions, this contribute deeper understanding complex phenomena. Furthermore, examines role Caputo operator calculus, offering insights into its significance real-world systems algebraic context. Through research, novel approaches are developed, essential tools researchers diverse fields science engineering, including applications.

Language: Английский

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Mathematical modeling of electroosmotic flow and thermal transport in stenotic tapered arteries using finite difference method

Modern Physics Letters B, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

This study investigates the electroosmotic flow and thermal transport of nanofluids, specifically aluminum oxide titanium dioxide, within tapered arteries with stenosis. Using finite difference method (FDM), we modeled dynamics heat transfer mechanisms under assumption low Reynolds numbers mild The focuses on effects nanoparticle volume fraction, absorption parameters, forces blood flow, velocity profiles, temperature distribution. Results show that increasing concentration significantly reduce velocity, particularly in divergent artery geometries. Additionally, inclusion enhances transfer, while Grashof number influences central velocity. These findings offer valuable insights into optimizing nanoparticle-based therapeutic interventions for cardiovascular treatments, providing a framework enhancing drug delivery systems improving efficacy heat-based therapies. study’s outcomes could lead to improved diagnostic tools strategies managing diseases.

Language: Английский

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The travelling wave phenomena of the space-time fractional Whitham-Broer-Kaup equation

AIMS Mathematics, Journal Year: 2025, Volume and Issue: 10(2), P. 2492 - 2508

Published: Jan. 1, 2025

Language: Английский

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Probiotic-infused active packaging: preparation, characterization, application and modeling the preservation of fresh strawberries fruit

LWT, Journal Year: 2025, Volume and Issue: unknown, P. 117586 - 117586

Published: Feb. 1, 2025

Language: Английский

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Mixed logical dynamical (MLD)-based Kalman filter for hybrid systems fault diagnosis

Journal of Process Control, Journal Year: 2025, Volume and Issue: 148, P. 103411 - 103411

Published: March 14, 2025

Language: Английский

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Comparative analysis of hydrogen production methods: Environmental impact and efficiency of electrochemical and thermochemical processes

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 118, P. 426 - 440

Published: March 20, 2025

Language: Английский

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Versatile, Adaptable, and Stretchable Electrochromic Energy Storage Systems

Polymers for Advanced Technologies, Journal Year: 2025, Volume and Issue: 36(3)

Published: March 1, 2025

ABSTRACT Electrochromic energy storage devices (EESDs) have emerged as innovative technologies in and smart materials, generating considerable interest for numerous applications, such wearables, windows, color‐changing sunglasses. EESDs consist of two primary categories: electrochromic supercapacitors (ESCs) batteries (ECBs). These are particularly appreciated their multifunctional features, which allow them to alter color response different charge densities. The performance efficiency rely on three essential components: (I) the current collector or substrate (cc/substrate), serves conductive base device; (II) electrolyte, supports ion movement improves overall electrochemical performance; (III) materials (ECMs), responsible changes functions. Careful selection optimization these components crucial enhancing devices' efficiency, stability, lifespan. Advanced flexible stretchable shown significant potential. Their natural flexibility facilitates seamless incorporation into curved surfaces diverse shapes, making especially suitable wearable other cutting‐edge applications. However, this also brings challenges, including concerns related delamination, material dissociation, degradation over time. A thorough investigation is progressing conversion systems. Grasping vital creating sustainable solutions improving capabilities.

Language: Английский

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Optimizing economics of machining for LM25Al/VC composite material using analytical modeling, deep neural network and GRA coupled with RSM

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 25, 2025

This study investigates the machinability of a novel LM25 aluminum alloy reinforced with vanadium carbide composite material (LM25Al/VC) using computer numerical control (CNC) lathe operation. By optimizing CNC process parameters such as depth cut, feed rate, and cutting speed, aim is to maximize removal minimize surface roughness, reduce power consumption, optimize costs. The employs analytical modeling, deep neural networks (DNN), grey relational grade (GRA) coupled response methodology (RSM) for performance evaluation. effectiveness these methods was compared four objective verification mechanisms. In this case, DNN technique delivered superior results among considered. Additionally, new models programming were developed in work predict machining costs, finish quality. These findings contribute creating energy-efficient, cost-effective techniques promote sustainable practices manufacturing industry.

Language: Английский

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