Results 141 to 150 of about 48,779 (301)
Contamination Control in Hybrid Microelectronic Modules. Part 1: Identification of Critical Process and Contaminants [PDF]
Various hybrid processing steps, handling procedures, and materials are examined in an attempt to identify sources of contamination and to propose methods for the control of these contaminants.
Himmel, R. P.
core +1 more source
Reduced Variability in Threshold Switches Using Heterostructures of SiOx and Vertically Aligned MoS2
Heterostructures of SiOx and vertically aligned MoS2 exhibit reliable threshold switching by guiding Ag ion migration through van der Waals gaps. Compared to SiOx‐only devices, these heterostructures demonstrate higher switching voltages, faster switching speeds, and reduced variability.
Jimin Lee +9 more
wiley +1 more source
Recent Advances in Programmable Metasurfaces and Meta‐Devices
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao +4 more
wiley +1 more source
Large Field‐Like Orbital Torque in FeNi/Cr Heterostructures
Orbital torque enables field‐free magnetization switching in spintronics. FeNi/Cr heterostructures exhibit a large field‐like orbital torque. This torque originates from a tilted orbital current polarization within the Cr layer, producing a significant z‐component.
Zhendong Chen +15 more
wiley +1 more source
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo +7 more
wiley +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
The discipline of vacuum mechatronics is defined as the design and development of vacuum-compatible computer-controlled mechanisms for manipulating, sensing and testing in a vacuum environment.
Belinski, Steven E. +2 more
core +1 more source
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi +3 more
wiley +1 more source
Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari +6 more
wiley +1 more source
Thermal management of 3-D heterogeneously integrated microelectronics: challenges and future research directions. [PDF]
Sharma MK, Ramos-Alvarado B.
europepmc +1 more source

