Results 21 to 30 of about 345 (187)
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
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Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
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ABSTRACT This study carries significant consequences in various engineering applications, such as cooling rotating disk surfaces, improving chemical reactor performance, and designing filtration systems. Considering these main applications in view, the aim of this study is to investigate time‐dependent Casson hybrid nanofluid flow on a permeable ...
Ebrahem A. Algehyne +6 more
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ABSTRACT Efficient removal of liquid aerosols from compressed gas streams is essential in chemical and energy processes. Conventional separators relying on a single mechanism (inertial or centrifugal) struggle to capture both fine and coarse droplets simultaneously.
Son Ung Kang +3 more
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Abstract This paper presents an exploratory analysis of contemporary curricular and professional qualification policies in the Scottish education system, focusing on minimum qualification thresholds for mathematics teaching. The study examines how veteran secondary mathematics practitioners perceive the structural and pedagogical implications of using ...
Paul Argyle McDonald
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ABSTRACT Global imperatives, such as climate change, environmental concerns, and carbon emissions, make green transformation an inevitability in the logistics sector. Green logistics strategy formulation is an economic choice problem, but it also turns out to be a multicriteria decision‐making (MCDM) process that encompasses the triple bottom line (TBL)
Ömer Faruk Görçün +2 more
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Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
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Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger +7 more
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A partial envelope approach for modelling multivariate spatial‐temporal data
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
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Compact Manifolds With Unbounded Nilpotent Fundamental Groups and Positive Ricci Curvature
ABSTRACT It follows from the work of Kapovitch and Wilking that a closed manifold with nonnegative Ricci curvature has a uniformly almost nilpotent fundamental group. Leftover questions and conjectures, have asked if in this context the fundamental group is actually uniformly almost abelian. The main goal of this work is to construct examples (Mk9,gk)$(
Elia Bruè, Aaron Naber, Daniele Semola
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