Results 171 to 180 of about 7,631,832 (303)

Large‐Scale Growth of Self‐Poled Ferroelectric Rashba Semiconductor α‐GeTe(111) Thin Films: A Crucial Step Towards Future CMOS‐Compatible Ferroelectric Spintronic Devices

Advanced Science, EarlyView.
Ferroelectric Rashba semiconductors promise ultralow‐power devices but lack industry‐quality films. This work demonstrates CMOS‐compatible fabrication of high‐quality α‐GeTe(111) films via magnetron sputtering, enabled by a 5 nm Sb2Te3 seed layer. Structural and ferroelectric analyses show robust, switchable polarization comparable to MBE films, paving
Jules Lagrave, Nicolas Bernier, Thomas Jalabert, Yoann Brûlé, Damien Térébénec, Pierre Meilleur, Hervé Roussel, Jean‐Baptiste Dory, Oussama J. Mouawad, Thibault Chommaux, Cristian Mocuta, Dominique Thiaudière, Laurent Vila, Françoise Hippert, Pierre Noé   +14 more
wiley   +1 more source

Design of a MEMS-Based Oscillator Using 180nm CMOS Technology. [PDF]

PLoS One, 2016
Roy S, Ramiah H, Reza AW, Lim CC, Ferrer EM.   +4 more
europepmc   +1 more source

Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing

Advanced Science, EarlyView.
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang, Steve Gaudez, Mario Togni, Steven Van Petegem, Markus Bambach, Mamzi Afrasiabi   +5 more
wiley   +1 more source

Integrated Opto–Biomechatronics For Single Muscle Fibre Structure‐Function Assessment: The MyoRobot 3.0

Advanced Science, EarlyView.
We present the MyoRobot 3.0, an advanced platform that combines high‐resolution imaging with automated mechanical testing to improve the accuracy of single muscle fibre analysis. The system tracks fibre diameter changes during stretch, preventing major stress miscalculations.
Michael Haug, Moritz Hellmann, Larysa Kovbasyuk, Maria Eleni Vazakidou, Milena Theis, Oliver Friedrich   +5 more
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

A Biosensor-CMOS Platform and Integrated Readout Circuit in 0.18-μm CMOS Technology for Cancer Biomarker Detection. [PDF]

Sensors (Basel), 2017
Alhoshany A, Sivashankar S, Mashraei Y, Omran H, Salama KN.   +4 more
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Sub‐Terahertz Memristor Switches Using MoS2 by Liquid–Liquid Interface Assembly

Advanced Science, EarlyView.
This work introduces application‐ready sub‐terahertz memristor switches fabricated from electrochemically exfoliated MoS2 nanosheets assembled at a liquid–liquid interface. The devices exhibit robust unipolar resistive switching, low insertion loss, and high isolation across 10–110 GHz.
Tomás Mingates, Mohamed E. Ghatas, Jonas Deuermeier, Adam G. Kelly, Joseph Neilson, Jonathan N. Coleman, Luís Mendes, João C. Vaz, Sérgio Matos, Luca Lucci, Antonio Clemente, Zdeněk Sofer, Luís M. Pessoa, Elvira Fortunato, Rodrigo Martins, Asal Kiazadeh   +15 more
wiley   +1 more source

RF CMOS Technology

RF CMOS Technology
identifier:oai:t2r2.star.titech.ac.jp ...
openaire   +1 more source

An Ultra-Low-Power RFID/NFC Frontend IC Using 0.18 μm CMOS Technology for Passive Tag Applications. [PDF]

Sensors (Basel), 2018
Bhattacharyya M, Gruenwald W, Jansen D, Reindl L, Aghassi-Hagmann J.   +4 more
europepmc   +1 more source