Results 101 to 110 of about 38,430 (291)

Gas–liquid mass transfer enhancement in the presence of nanoparticles under slug flow in microreactors

open access: yesAIChE Journal, EarlyView.
Abstract Nanofluids containing nanoparticles represent a promising solvent or reaction system for gas–liquid operations. Herein, the effect of nanoparticle (Al2O3 and SiO2) addition on gas–liquid slug flow pattern and mass transfer enhancement was investigated during CO2 absorption into water in microreactors.
Jie Zong, Jun Yue
wiley   +1 more source

Bipartiteness and the least eigenvalue of signless Laplacian of graphs [PDF]

open access: yes, 2012
Let G be a simple graph, and let λb(G) the least eigenvalue of the signless Laplacian of the graph G. In this paper we focus on the relations between the least eigenvalue and some parameters reflecting the graph bipartiteness. We introduce two parameters:
Fan, Yi-Zheng, Fallat, Shaun
core   +1 more source

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang   +3 more
wiley   +1 more source

The least Laplacian eigenvalue of the unbalanced unicyclic signed graphs with $k$ pendant vertices [PDF]

open access: yes, 2020
Let $\Gamma=(G,\sigma)$ be a signed graph and $L(\Gamma)=D(G)-A(\Gamma)$ be the Laplacian matrix of $\Gamma$, where $D(G)$ is the diagonal matrix of vertex degrees of the underlying graph $G$ and $A(\Gamma)$ is the adjacency matrix of $\Gamma$.
Li, Deqiong, Guo, Qiao, Hou, Yaoping
core   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

Phase Synchronization in Coupled Sprott Chaotic Systems Presented by Fractional Differential Equations

open access: yesDiscrete Dynamics in Nature and Society, 2009
Phase synchronization occurs whenever a linearized system describing the evolution of the difference between coupled chaotic systems has at least one eigenvalue with zero real part.
G. H. Erjaee, M. Alnasr
doaj   +1 more source

Positive solutions and eigenvalue intervals for a second order p-Laplacian discrete system

open access: yesAdvances in Difference Equations, 2018
In this paper, we investigate the existence of at least one positive solution to a second order p-Laplacian discrete system. As applications, we characterize the eigenvalue intervals for one typical n-dimensional system.
Jin Zhao
doaj   +1 more source

On the least distance eigenvalue of a graph

open access: yesLinear Algebra and its Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
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
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

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