Results 41 to 50 of about 190,755 (383)

Gain in quantum cascade lasers and superlattices: A quantum transport theory [PDF]

Physical Review B 66, 085326 (2002), 2002
Gain in current-driven semiconductor heterostructure devices is calculated within the theory of nonequilibrium Green functions. In order to treat the nonequilibrium distribution self-consistently the full two-time structure of the theory is employed without relying on any sort of Kadanoff-Baym Ansatz.
arxiv   +1 more source

Few-photons model of the optical emission of semiconductor quantum dots [PDF]

Phys. Rev. Lett. 103, 087407 (2009), 2009
The Jaynes-Cummings model provides a well established theoretical framework for single electron two level systems in a radiation field. Similar exactly solvable models for semiconductor light emitters such as quantum dots dominated by many particle interactions are not known.
arxiv   +1 more source

Ultra‐Shallow Flat Heat Waves on Low Thermal Conductivity Flexible Polyimide Substrate for Millisecond Thermal Analysis of Materials and Bioelectronic Applications

Advanced Engineering Materials, EarlyView.
An electronic system is presented consisting of a silver thin‐film electrode on a polyimide substrate working both as a heating element and a resistive temperature sensor, generating millisecond heat pulses with very fast heating and cooling rates and a flat peak temperature with a tunable duration.
Bahman K. Boroujeni, Jan Frede, Simon T. Herrmann, Natalie Heinen, Hans Kleemann, Stephanie Pfaender   +5 more
wiley   +1 more source

Mildly-Doped Polythiophene with Triflates for Molecular Recognition [PDF]

arXiv, 2021
Organic semiconductors have enough molecular versatility to feature chemo-specific electrical sensitivity to large families of chemical substituents via different intermolecular bonding modes. This study demonstrates that one single conducting polymer can be tuned to either discriminate water-, ethanol- or acetone-vapors, on demand, by changing the ...
arxiv  

Development of reliability prediction technique for semiconductor diodes [PDF]

, 1967
New fundamental technique of reliability prediction for semiconductor diodes based on realistic mathematical models can be applied to component failure rate prediction including mechanical degradation, electrical degradation, environmental stress factors,
Ryerson, C. M.
core   +1 more source

Advances in Hybrid Icing and Frosting Protection Strategies for Optics, Lens, and Photonics in Cold Environments Using Thin‐Film Acoustic Waves

Advanced Engineering Materials, EarlyView.
This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong, Zhangbin Ji, Luke Haworth, Yihao Guo, Jaime del Moral, Stefan Jacob, Ana Borras, Agustin R. Gonzalez‐Elipe, Jikai Zhang, Jian Zhou, Glen McHale, Yong‐Qing Fu   +11 more
wiley   +1 more source

Cryogenic Hyperdimensional In-Memory Computing Using Ferroelectric TCAM

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
Cryogenic operations of electronics present a significant step forward to achieve huge demand of in-memory computing (IMC) for high-performance computing, quantum computing, and military applications.
Shivendra Singh Parihar, Shubham Kumar, Swetaki Chatterjee, Girish Pahwa, Yogesh Singh Chauhan, Hussam Amrouch   +5 more
doaj   +1 more source

Multipulse current source offers low power losses and high reliability [PDF]

, 1967
Pulse current source uses low loss, high reliability, LC circuits to provide the necessary high impedance for magnetic memory cores, frequently used in digital computational equipment.

core   +1 more source

Active power losses distribution methods for the modular multilevel converter [PDF]

, 2016
Modular Converters such as the MMC have become the new standard in VSC-HVDC applications. Their modularity has brought many industrial advantages but also increased the complexity of their operation.
Merlin, MMC, Mitcheson, PD
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source