Results 101 to 110 of about 7,149 (259)

CALCULATION OF TECHNOLOGICAL PARAMETERS OF OUT-PIPE REAGENT CIRCULAR IRRIGATION OF GRAVEL-PACKED FILTERS OF WATER SUPPLY WELLS

Известия высших учебных заведений и энергетических объединенний СНГ: Энергетика, 2014
The purpose of this work is the study of decolmatation rate of granular layer of gravel pack of well during creating inside of it flushing of reagent with given hydrodynamic parameters and determination the duration of treatment.
V. V. Ivashechkin, V. V. Veremenyuk, P. A. Avtushko   +2 more
doaj  

Atomic‐Scale Tracing of Lithium Trapped in Copper Current Collectors

Advanced Energy Materials, EarlyView.
Does lithium diffuse into the copper current collector during cycling in lithium‐metal batteries? This study unveils, at the atomic scale, that lithium is trapped at grain boundaries and junctions, already after only one plating/stripping cycle. After three and more cycles, the copper foil surface becomes nanocrystalline and oxidized.
Tong Li, Carlo Franke, Ziyuan Lyu, Omair Ashfaq, Mervyn Soans, Mohsen Sotoudeh, Thomas Diemant, Jun Xia, Aleksander Kostka, Dominic Bresser   +9 more
wiley   +1 more source

Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments

AIChE Journal, EarlyView.
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin, José Esteban Andino‐Enriquez, Thomas Gouëzec, Maurice Bourrel, Enric Santanach‐Carreras, Nicolas Passade‐Boupat, Laurence Talini, François Lequeux, Pascal Panizza   +8 more
wiley   +1 more source

Flow characteristics and regime transitions in fluidization systems of Group C+ particles

AIChE Journal, EarlyView.
Abstract Fine and ultrafine particles are attractive for fluidized bed reactors because their high surface area benefits catalytic processes, but their cohesive nature complicates regime characterization. Nanoparticle modulation improves the flowability of Group C powders, yet their bubbling to turbulent transition remains unclear.
Yue Song, Jiaying Wang, Xiaoyang Wei, Jesse Zhu   +3 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

i‐Tac: Inverse Design of 3D‐Printed Tactile Elastomers with Tuneable Optical and Mechanical Properties

Advanced Intelligent Systems, EarlyView.
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley   +1 more source

Trap shape affects efficacy of sticky traps for New World screwworm, Cochliomyia hominivorax (Diptera: Calliphoridae). [PDF]

J Econ Entomol
Hickner PV, Phillips PL, Cerdas EI, Pacheco L, Sanchez Ortiz C, Saelao P, Welch JB.   +6 more
europepmc   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

Advanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim, Hayeon Shin, Seik Park, Changbeom Shim, Seonggun Joe   +4 more
wiley   +1 more source