Open Access. Powered by Scholars. Published by Universities.®
Electronic Devices and Semiconductor Manufacturing Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Physical Sciences and Mathematics (3)
- Business (2)
- Computer Engineering (2)
- Electrical and Electronics (2)
- Materials Science and Engineering (2)
-
- Nanotechnology Fabrication (2)
- Other Electrical and Computer Engineering (2)
- Physics (2)
- Political Science (2)
- Public Affairs, Public Policy and Public Administration (2)
- Science and Technology Policy (2)
- Semiconductor and Optical Materials (2)
- Social and Behavioral Sciences (2)
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Anatomy (1)
- Applied Behavior Analysis (1)
- Applied Mathematics (1)
- Archival Science (1)
- Artificial Intelligence and Robotics (1)
- Business Administration, Management, and Operations (1)
- Business Intelligence (1)
- Cataloging and Metadata (1)
- Chemistry (1)
- Cognition and Perception (1)
- Cognitive Psychology (1)
- Collection Development and Management (1)
- Communication (1)
- Institution
- Keyword
-
- Amorphous boron carbide (1)
- Amorphous silicon (1)
- Artificial Intelligence (AI) (1)
- Band diagram (1)
- Benefits of AI (1)
-
- Bias in AI Systems (1)
- Conceptual Investigation (1)
- Deep Learning (1)
- Diodes (1)
- Ethical Considerations (1)
- Future AI (1)
- Heavy particle radiation (1)
- Heterojunction devices (1)
- Human-AI Interaction (1)
- Human-Machine Interaction (1)
- Job Displacement (1)
- Loop resonators (1)
- Low-temperature superconductors (1)
- Machine Learning (1)
- Metacarborane (1)
- Metal contacts (1)
- Metamophosis (1)
- Microelectromechanical resonators (1)
- Natural Language Processing (1)
- Neutron detection (1)
- Optical resonators (1)
- Optoelectronic modeling · High-power LED · Perovskite solar cells · Dye-sensitized solar cells · IoT sensing (1)
- Pecvd (1)
- Physical Systems (1)
- Piezoelectric resonators (1)
Articles 1 - 7 of 7
Full-Text Articles in Electronic Devices and Semiconductor Manufacturing
Amorphous Boron Carbide-Amorphous Silicon Heterojunction Devices, Vojislav Medic
Amorphous Boron Carbide-Amorphous Silicon Heterojunction Devices, Vojislav Medic
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
This dissertation will show successful development and characterization of amorphous boron carbide-amorphous silicon heterojunction device with potential for neutron detection. The amorphous hydrogenated boron carbide (a-BC:H) has been extensively researched as a semiconductor for neutron voltaic device fabrication. Naturally occurring boron contains 19.8% of boron isotope B10 that has a high absorption cross section of thermal neutrons at lower energies, and boron carbide contains 14.7% of that B10 isotope. Therefore, as a semiconductor compound of boron a-BC:H has the ability to absorb radiation, generate charge carriers, and collect those carriers. Previous work on a-BC:H devices investigated the fabrication …
Impact Of Silicon Ion Irradiation On Aluminum Nitride-Transduced Microelectromechanical Resonators, David D. Lynes, Joshua Young, Eric Lang, Hengky Chandrahalim
Impact Of Silicon Ion Irradiation On Aluminum Nitride-Transduced Microelectromechanical Resonators, David D. Lynes, Joshua Young, Eric Lang, Hengky Chandrahalim
Faculty Publications
Microelectromechanical systems (MEMS) resonators use is widespread, from electronic filters and oscillators to physical sensors such as accelerometers and gyroscopes. These devices' ubiquity, small size, and low power consumption make them ideal for use in systems such as CubeSats, micro aerial vehicles, autonomous underwater vehicles, and micro-robots operating in radiation environments. Radiation's interaction with materials manifests as atomic displacement and ionization, resulting in mechanical and electronic property changes, photocurrents, and charge buildup. This study examines silicon (Si) ion irradiation's interaction with piezoelectrically transduced MEMS resonators. Furthermore, the effect of adding a dielectric silicon oxide (SiO2) thin film is …
Flux-Quanta Injection For Nonreciprocal Current Control In A Two-Dimensional Noncentrosymmetric Superconducting Structure, Serafim Teknowijoyo, Sara Chahid, Armen Gulian
Flux-Quanta Injection For Nonreciprocal Current Control In A Two-Dimensional Noncentrosymmetric Superconducting Structure, Serafim Teknowijoyo, Sara Chahid, Armen Gulian
Mathematics, Physics, and Computer Science Faculty Articles and Research
We designed and experimentally demonstrated a four-terminal superconducting device, a “quadristor,” that can function as a nonlatching (reversible) superconducting switch from the diode regime to the resistive state by application of a control current much smaller than the main transport current. The device uses a vortex-based superconducting-diode mechanism that is switched back and forth via the injection of flux quanta through auxiliary current leads. Our finding opens a new research area in the field of superconducting electronics.
Method Of Evanescently Coupling Whispering Gallery Mode Optical Resonators Using Liquids, Hengky Chandrahalim, Kyle T. Bodily
Method Of Evanescently Coupling Whispering Gallery Mode Optical Resonators Using Liquids, Hengky Chandrahalim, Kyle T. Bodily
AFIT Patents
The present invention relates to evanescently coupling whispering gallery mode optical resonators having a liquid coupling as well as methods of making and using same. The aforementioned evanescently coupling whispering gallery mode optical resonators having a liquid couplings provide increased tunability and sensing selectivity over current same. The aforementioned. Applicants’ method of making evanescent-wave coupled optical resonators can be achieved while having coupling gap dimensions that can be fabricated using standard photolithography. Thus economic, rapid, and mass production of coupled WGM resonators-based lasers, sensors, and signal processors for a broad range of applications can be realized.
Geopolitics Of Semiconductor Supply Chains: The Case Of Tsmc, Us-China-Taiwan Relations, And The Covid-19 Crisis, Aditya Sehgal
Geopolitics Of Semiconductor Supply Chains: The Case Of Tsmc, Us-China-Taiwan Relations, And The Covid-19 Crisis, Aditya Sehgal
Independent Study Project (ISP) Collection
As the demand for more advanced forms of technology continues to grow, so does the global importance and reliance on semiconductors. This research paper examines the impact of semiconductor shortages on both consumer and military production, as well as the geopolitical implications embedded within the global supply chain.
The paper begins by providing an overview of semiconductors, the global semiconductor market, and the impact of COVID-19 on the industry’s supply chain. It also discusses the importance of the Taiwan Semiconductor Manufacturing Company (TSMC) in the industry and its role in addressing semiconductor shortages.
Next, the paper discusses the impact of …
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Library Philosophy and Practice (e-journal)
Abstract
Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …
Utilizing Machine Learning Algorithm In Predicting The Power Conversion Efficiency Limit Of A Monolithically Perovskites/Silicon Tandem Structure, Moustafa Ganoub, Omar Elsaban, Sameh O. Abdellatif Dr, Khaled Kirah, Hani Ghali
Utilizing Machine Learning Algorithm In Predicting The Power Conversion Efficiency Limit Of A Monolithically Perovskites/Silicon Tandem Structure, Moustafa Ganoub, Omar Elsaban, Sameh O. Abdellatif Dr, Khaled Kirah, Hani Ghali
Electrical Engineering
Tandem structures have been introduced to the photovoltaics (PV) market to boost power conversion efficiency (PCE). Single-junction cells’ PCE, either in a homojunction or heterojunction format, are clipped to a theoretical limit associated with the absorbing material bandgap. Scaling up the single-junction cells to a multi-junction tandem structure penetrates such limits. One of the promising tandem structures is the perovskite over silicon topology. Si junction is utilized as a counter bare cell with perovskites layer above, under applying the bandgap engineering aspects. Herein, we adopt BaTiO3/CsPbCl3/MAPbBr3/CH3NH3PbI3/c-Si tandem structure to be investigated. In tandem PVs, various input parameters can be tuned …