Results 71 to 80 of about 1,918,981 (287)

Regression prediction of critical exhaust volumetric flow rate in tunnel fire with two-point extraction ventilation based on neural network method

Case Studies in Thermal Engineering
In this study, a Genetic Algorithm-Backpropagation Neural Network (GA-BPNN) model was developed to predict critical exhaust volumetric flow rate in tunnel fires with two-point extraction ventilation system.
Guanghui Yao, Zhongyuan Yuan, Chenchen Liang, Nanyang Yu   +3 more
doaj   +1 more source

A Miniaturized Autonomous Thermomagnetic Generator

Advanced Functional Materials, EarlyView.
Micro, autonomous and high power thermomagnetic generator operating between a heat dissipator and a processor. ABSTRACT Thermomagnetic generators (TMG) are promising devices for converting low‐grade waste heat into electricity. Self‐actuation using permanent magnets is the key to autonomy.
Morgan Almanza, Doan Nguyen Ba, Nesrine Belkadi, Erika Fontana, Jean‐Eudes Duvauchelle, Sukhendu Sadhukhan, Loïc Becerra, Thibaut Devillers, Massimiliano Marangolo, Fabien Parrain, Nora M. Dempsey, Martino LoBue   +11 more
wiley   +1 more source

A Parallel-Type Unified Error Vector Transfer Framework for Real-Time Volumetric Error Compensation in Three-Axis CNC Machines

Machines
Geometric errors in CNC machine tools accumulate along the tool path and directly affect machining accuracy. Traditional serial-chain-based volumetric error models, such as those based on the homogeneous transformation matrix (HTM) or screw theory, often
Yuchao Fan, Bingyan Feng, Feng Wei, Yubin Huang, Jian Li   +4 more
doaj   +1 more source

Microfluidic Architecting of Patchy MXene Core‐Shell Particles for Ultralow‐Loading Photothermal Shape‐Memory Actuation

Advanced Functional Materials, EarlyView.
Spatially distributing Ti3C2Tx nanosheets into core‐shell architecture, rather than as directly dispersed flakes, mitigates aggregation and enhances photon harvesting. When the Ti3C2Tx core‐shell particles are incorporated into a shape‐memory polymer matrix at an ultralow loading of 0.0024 wt%, the improved photothermal conversion translates into ...
May Maung Zaw, Maxim M. Trubyanov, Qian Wang, Siyu Chen, Hongyi Chen, Keyu Chen, Hongbin Sun, Muthu Vignesh Vellayappan, Xiaoying Qi, Sharon Mui Ling Nai, Kostya S. Novoselov, David W. Rosen, Daria V. Andreeva   +12 more
wiley   +1 more source

IMECE 2005-83000 AN EFFICIENT VOLUMETRIC-ERROR MEASUREMENT METHOD FOR FIVE-AXIS MACHINE TOOLS [PDF]

, 2020
Accurate measurement of volumetric errors plays an important role for error compensation for multi-axis machines. The error measurements for volumetric errors of five-axis machines are usually very complex and costly than that for three-axis machines. In
Hung-Wei Liao, Han-Jen Yu, Shih-Ming Wang   +2 more
core  

Macrophage–Fibroblast Crosstalk Governs Tumor Mechanics, as Revealed by Spatiotemporal Force Mapping in 3D Spheroids

Advanced Healthcare Materials, EarlyView.
This study shows crosstalk among tumor cells, fibroblasts, and macrophages alters the physical forces inside 3D tumor spheroids. Incorporating deformable microparticles in 3D tumor spheroids, the researchers mapped mechanical stresses spatially and with respect to tumor growth (temporally).
Kunal P. Pednekar, Daan Vorselen, Jai Prakash   +2 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

An automated deep learning model for liver tumor and skin lesion segmentation

Discover Electronics
Artificial Intelligence plays a vital role in automatically identifying different diseases from a given set of medical images. Medical images require accurate organ segmentation to detect abnormalities in different organs of a body using diverse medical ...
R. V. Manjunath, N. Yashaswini Gowda, Manjunath Lakkannavar   +2 more
doaj   +1 more source

A simple permanent deformation model of rockfill materials

Water Science and Engineering, 2018
Existing experimental results have shown that using a semi-log linear relationship between the permanent volumetric strain and cyclic number underestimates the volumetric deformation of rockfill materials with a large cyclic number, and that the error ...
De-gao Zou, Jing-mao Liu, Xian-jing Kong, Chen-guang Zhou, Qing-po Yang   +4 more
doaj   +1 more source

Volumetric error on the absorption coefficient for different numbers of hardware gates

, 2018
Volumetric error on the absorption coefficient for different numbers of hardware gates (rows) and regularization value (columns). Horizontal axis of each subplot is the simulated x position of the inclusion and vertical axis is the simulated z position ...
Fabrizio Martelli (3595052), Simon R. Arridge (3952145), Paola Taroni (748021), Antonio Pifferi (748023), Andrea Farina (1686121), Edoardo Ferocino (6110078)   +5 more
core   +1 more source