Results 131 to 140 of about 190,755 (383)

IIRW Deals With a Wide Spectrum of Semiconductor Reliability Challenges [PDF]

, 2007

openalex   +1 more source

Turning on Selective H2S Gas Sensing Activity in Ternary Nickel Tungstate Strongly Correlated Electron System Through Sub‐Gap Band Manipulation

Advanced Functional Materials, EarlyView.
A strongly correlated electron system (SCES) exhibits pronounced insulating behavior due to Coulombic repulsion between cations, which generates a charge gap. This study investigates the tuning of the band structure in NiWO4‐based SCES via Cu doping at substitutional sites and Li doping at interstitial sites.
Seung Yong Lee, Ha Eun Choa, Seung Joon Choi, Chul Oh Park, Gi Hyun Park, June Won Suh, Si Hoon Jeong, Yunseong Ji, Changhyun Jin, Jeong Yun Hwang, Inseo Kim, Jihye Park, Joonho Bang, Myung Sik Choi, Hyo‐Jick Choi, Dong Won Chun, Kimoon Lee, Wooyoung Lee, Kyu Hyoung Lee   +18 more
wiley   +1 more source

Fabrication of Bifacial-Modified Perovskites for Efficient Semitransparent Solar Cells with High Average Visible Transmittance

Molecules
Semitransparent perovskite solar cells (PSCs) that possess a high-power conversion efficiency (PCE) and high average visible light transmittance (AVT) can be employed in applications such as photovoltaic windows.
Dazheng Chen, Wenjing Shi, Yan Gao, Sai Wang, Baichuan Tian, Zhizhe Wang, Weidong Zhu, Long Zhou, He Xi, Hang Dong, Wenming Chai, Chunfu Zhang, Jincheng Zhang, Yue Hao   +13 more
doaj   +1 more source

First-principles study on the electronic structure and catalytic properties of two-dimensional MX2N4 systems (M = Ti, Zr; X = Si, Ge)

Results in Physics, 2023
Recently, the two-dimensional MA2Z4 family with a seven-atom layer structure (experimentally synthesized a MoSi2N4 monolayer), which has good stability and exhibits semiconductivity, providing a platform for photocatalytic hydrolysis studies of two ...
Yi Wang, Guang Wang, Mengya Huang, Zhengli Zhang, Jihong Wang, Ding Zhao, Xiang Guo, Xuefei Liu   +7 more
doaj  

Contamination Free Manufacturing of Semiconductor Devices for High Reliability [PDF]

, 2008
Jagdish Prasad
openalex   +1 more source

Spectroelectrochemical Determination of Förster Radii for Triplet‐Polaron Quenching in Phosphorescent Organic Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
Phosphorescent OLEDs suffer from efficiency roll‐off due to triplet‐polaron quenching (TPQ). This study demonstrates for a large set of host‐guest combinations a spectroelectrochemical method to measure the absorption of charged molecules, enabling determining TPQ Förster radii (2.5–4 nm) from the spectral overlap.
Stan E. A. Jaspars, Hiroki Tomita, Clint van Hoesel, Nicolas Daub, René A.J. Janssen, Reinder Coehoorn   +5 more
wiley   +1 more source

Factors to Influence Thermal-Cycling Reliability of Passivation Layers in Semiconductor Devices Utilizing Lead-on-Chip (LOC) Die Attach Technique [PDF]

, 2009
성민 이, 성란 이
openalex   +1 more source

Improving reliability engineering in product development based on design theory: the case of FMEA in the semiconductor industry

, 2021
Benjamin Cabanes, Stéphane Hubac, Pascal Le Masson, Benoît Weil   +3 more
openalex   +2 more sources

High‐Entropy Magnetism of Murunskite

Advanced Functional Materials, EarlyView.
The study of murunskite (K2FeCu3S4) reveals that its magnetic and orbital order emerges in a simple I4/mmm crystal structure with complete disorder in the transition metal positions. Mixed‐valence Fe ions randomly occupy 1/4 of the tetrahedral sites, with the remaining 3/4 being filled by non‐magnetic Cu+ ions.
Davor Tolj, Priyanka Reddy, Ivica Živković, Luka Akšamović, Jian Rui Soh, Kamila Komȩdera, Izabela Biało, Naveen Kumar Chogondahalli Muniraju, Trpimir Ivšić, Mario Novak, Oksana Zaharko, Clemens Ritter, Thomas LaGrange, Wojciech Tabiś, Ivo Batistić, László Forró, Henrik M. Rønnow, Denis K. Sunko, Neven Barišić   +18 more
wiley   +1 more source

A Self-Supervised Robotic System for Autonomous Contact-Based Spatial Mapping of Semiconductor Properties [PDF]

arXiv
Integrating robotically driven contact-based material characterization techniques into self-driving laboratories can enhance measurement quality, reliability, and throughput. While deep learning models support robust autonomy, current methods lack reliable pixel-precision positioning and require extensive labeled data.
arxiv