Results 51 to 60 of about 23,683 (254)

A Ceramic Network for Hybrid Solid Electrolyte Lithium Metal Batteries

Advanced Science, EarlyView.
An in‐plane aligned Ta‐LLZO ceramic network exhibits superior performance compared to conventional fillers, including single ceramic fibers and particles. The tortuosity within the polymeric phase of hybrid solid electrolytes is identified as a key parameter governing lithium‐ion transport pathways and dendrite suppression.
Luca Weckelmann, Jeong Seop Yoon, Jehad Ahmed, Krzysztof Dzieciol, Anna Windmüller, Luc Raijmakers, Sanja Tepavcevic, Hans Kungl, Venkat Srinivasan, Chih‐Long Tsai, Rüdiger‐A. Eichel   +10 more
wiley   +1 more source

PyGenAlgo: A simple and powerful toolkit for genetic algorithms

SoftwareX
Genetic algorithms (GAs) are meta-heuristic algorithms that are used for solving constrained and unconstrained optimization problems, mimicking the process of natural selection in biological evolution.
Michail D. Vrettas, Stefano Silvestri
doaj   +1 more source

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

AIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu, Chentao He, Janet A. W. Elliott, Liuyin Xia   +3 more
wiley   +1 more source

Comparison of Waste Production in Regions of the Czech Republic in 2019-2021

ACC Journal
The purpose of this article is to illustrate the intuitively understood links between the social and economic characteristics of an area and the waste production at a given location.
Zedek Lukáš, Šembera Jan
doaj   +1 more source

flow-models 2.2: Efficient and parallel elephant flow modeling with machine learning

SoftwareX
This article introduces the latest version of the flow-models framework for IP network flow analysis. Key improvements include support for Dask to enable parallel computing, dataset reduction techniques for efficient training, and new modules for entropy
Piotr Jurkiewicz
doaj   +1 more source

A practical electrodialysis model for accelerating system development

AIChE Journal, EarlyView.
Abstract Empirical optimization of electrodialysis (ED) is dependent on repetitive experiments with incremental adjustments, which is cost prohibitive at scale. While models can reduce the costs associated with optimization and scale‐up, existing ED models are limited in application to specific use cases and tend to be developed for the exploration of ...
Smith Pittman, Douglas Fankell, Jason C. Quinn, Kenneth F. Reardon   +3 more
wiley   +1 more source

Opfunu: An Open-source Python Library for Optimization Benchmark Functions

Journal of Open Research Software
Opfunu is a Python library designed to address the need for a comprehensive suite of benchmark functions for numerical optimization algorithms. It offers a rich collection of functions, including all those used in the Congress on Evolutionary Computation
Nguyen Van Thieu
doaj   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Resolvent4py: A parallel Python package for analysis, model reduction and control of large-scale linear systems

SoftwareX
In this paper, we present resolvent4py, a parallel Python package for the analysis, model reduction and control of large-scale linear systems with millions or billions of degrees of freedom.
Alberto Padovan, Vishal Anantharaman, Clarence W. Rowley, Blaine Vollmer, Tim Colonius, Daniel J. Bodony   +5 more
doaj   +1 more source