Results 101 to 110 of about 71,070 (268)

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

Advanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue, Siddharth Kurup, Rebecca Banner, Calib Lanier, Eric Vogel, Michael Filler, Kira Barton   +6 more
wiley   +1 more source

STUDY ON THE MECHANICAL PROPERTIES OF TRUSS LATTICE STRUCTURES BY MJF 3D PRINTING (MT)

Jixie qiangdu, 2023
Seven truss lattice cells were designed by the combined superposition method, and the specimens with the same porosity of seven lattice structures were prepared by the Multi Jet Fusion（MJF） 3D printing technique.
WANG XuanYu, LI Nan, WURIKAIXI AiYiTi, JIA Ru   +3 more
doaj  

Neutrino Mass Generation at TeV Scale and New Physics Signatures from Charged Higgs at the LHC for Photon Initiated Processes

, 2018
We consider the collider phenomenology of a simple extension of the Standard Model (SM), which consists of an EW isospin $3/2$ scalar, $\Delta$ and a pair of EW isospin $1$ vector like fermions, $\Sigma$ and $\bar{\Sigma}$, responsible for generating ...
Ghosh, Kirtiman, Jana, Sudip, Nandi, S.
core   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Build Orientation-Driven Anisotropic Fracture Behaviour in Polymer Parts Fabricated by Powder Bed Fusion

Journal of Manufacturing and Materials Processing
Additive manufacturing (AM) enables fabricating intricate objects with complex geometries previously unattainable through conventional methods. This process encompasses various techniques, including powder bed fusion (PBF), such as selective laser ...
Karthik Ram Ramakrishnan, Jagan Selvaraj
doaj   +1 more source

Aircraft Target Classification for Conventional Narrow-Band Radar with Multi-Wave Gates Sparse Echo Data

Remote Sensing, 2019
For a conventional narrow-band radar system, the detectable information of the target is limited, and it is difficult for the radar to accurately identify the target type.
Wantian Wang, Ziyue Tang, Yichang Chen, Yuanpeng Zhang, Yongjian Sun   +4 more
doaj   +1 more source

Parton-shower Effects in Vector-Boson-Fusion Processes

, 2016
We investigate the effects of combining next-to-leading order QCD results with parton-shower effects in $W^+W^-jj$ production via vector-boson fusion including leptonic decays.
Plätzer, Simon, Rauch, Michael
core   +1 more source

Higgs plus multi-jets in gluon fusion [PDF]

Proceedings of 12th International Symposium on Radiative Corrections (Radcor 2015) and LoopFest XIV (Radiative Corrections for the LHC and Future Colliders) — PoS(RADCOR2015), 2016
Nicolas Greiner, Stefan Höche, Gionata Luisoni, Marek Schonherr, Jan-Christopher Winter, Valery Yundin   +5 more
openaire   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Bayesian neural networks for predicting tokamak energy confinement time with uncertainty quantification

Nuclear Fusion
Accurate estimation of the tokamak energy confinement time ( τ _E ) is crucial for optimizing the operation and design of fusion devices. Traditional methods, such as the ITER scaling law, often lack predictive precision and provide limited uncertainty ...
Enliang Gao, Chenguang Wan, Youjun Hu, Minglong Wang, Jingjing Lu, Zhisong Qu, Xinghao Wen, Jia Huang, Ying Chen, Heru Guo, Zhengping Luo, Zhi Yu, Xiaojuan Liu, Qiping Yuan, Jiangang Li   +14 more
doaj   +1 more source