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Based on large-scale molecular dynamics simulations, we propose a new charging method that should be capable of charging a Lithium-ion battery in a fraction of the time needed when using traditional methods. This charging method uses an…

Chemical Physics · Physics 2010-03-11 Ibrahim Abou Hamad , M. A. Novotny , D. Wipf , P. A. Rikvold

In this paper, we proposed the Interpenetrating Cooperative Localization (ICL) method to enhance the localization accuracy in dynamic connected vehicle networks. This mechanism makes the information from one group of connected vehicles…

Systems and Control · Computer Science 2018-04-27 Huajing Zhao , Zhaobin Mo , Macheng Shen , Jing Sun , Ding Zhao

Contrastive Learning (CL) has been proved to be a powerful self-supervised approach for a wide range of domains, including computer vision and graph representation learning. However, the incremental learning issue of CL has rarely been…

Machine Learning · Computer Science 2023-01-31 Cheng Ji , Jianxin Li , Hao Peng , Jia Wu , Xingcheng Fu , Qingyun Sun , Phillip S. Yu

We show that the free carrier absorption in Quantum Cascade Lasers is very small and radically different from the classical Drude result on account of the orthogonality between the direction of the carrier free motion and the electric field…

Mesoscale and Nanoscale Physics · Physics 2012-08-30 F. Carosella , C. Ndebeka-Bandou , R. Ferreira , E. Dupont , K. Unterrainer , G. Strasser , A. Wacker , G. Bastard

Quantum Cascade Lasers (QCLs) are generally designed to avoid negative differential conductivity (NDC) in the vicinity of the operation point in order to prevent instabilities. We demonstrate, that the threshold condition is possible under…

Mesoscale and Nanoscale Physics · Physics 2018-08-29 David O. Winge , Emmanuel Dupont , Andreas Wacker

Continual learning enables incremental learning of new tasks without forgetting those previously learned, resulting in positive knowledge transfer that can enhance performance on both new and old tasks. However, continual learning poses new…

Machine Learning · Computer Science 2023-08-01 Dawid Rymarczyk , Joost van de Weijer , Bartosz Zieliński , Bartłomiej Twardowski

Transformer models have become foundational across a wide range of scientific and engineering domains due to their strong empirical performance. A key capability underlying their success is in-context learning (ICL): when presented with a…

Machine Learning · Computer Science 2026-04-29 Zhen Qin , Jiachen Jiang , Zhihui Zhu

Visible Light Communication (VLC) is a current technology which allows data to be transmitted by modulating information onto a light source. It has many advantages over traditional radio frequency communication and up to 10,000 times larger…

Signal Processing · Electrical Eng. & Systems 2021-01-14 Shamin Achari , Alice Yi Yang , James Goodhead , Brendon Swanepoel , Ling Cheng

We present GaSb-based interband cascade lasers emitting at a center wavelength of 6.12 $\mu$m at 20$^\circ$C in continuous-wave operation up to a maximum operating temperature of 40$^\circ$C. Pulsed measurements based on broad area devices…

The intriguing in-context learning (ICL) abilities of deep Transformer models have lately garnered significant attention. By studying in-context linear regression on unimodal Gaussian data, recent empirical and theoretical works have argued…

Machine Learning · Computer Science 2024-10-30 Khashayar Gatmiry , Nikunj Saunshi , Sashank J. Reddi , Stefanie Jegelka , Sanjiv Kumar

Thin films are gaining ground in photonics and optoelectronics, promising improvements in their efficiency and functionality as well as decreased material usage as compared to bulk technologies. However, proliferation of thin films would…

Optics · Physics 2021-11-12 Pyry Kivisaari , Mikko Partanen , Toufik Sadi , Jani Oksanen

Load balancing at transport layer is an important function in data centers, content delivery networks, and mobile networks, where per-connection consistency (PCC) has to be met for optimal performance. Cloud-native L4 load balancers are…

Networking and Internet Architecture · Computer Science 2020-03-27 Ashkan Aghdai , Michael I. -C. Wang , Yang Xu , Charles H. -P. Wen , H. Jonathan Chao

This paper presents a method for approximating a class of complex transfer function matrices corresponding to physically realizable complex linear quantum systems. The class of linear quantum systems under consideration includes…

Systems and Control · Computer Science 2011-07-29 Ian R. Petersen

This paper summarizes the idea of Low-Cost Interlinked Subarrays (LISA), which was published in HPCA 2016, and examines the work's significance and future potential. Contemporary systems perform bulk data movement movement inefficiently, by…

Hardware Architecture · Computer Science 2018-05-09 Kevin K. Chang , Prashant J. Nair , Saugata Ghose , Donghyuk Lee , Moinuddin K. Qureshi , Onur Mutlu

In-context learning (ICL), which promotes inference with several demonstrations, has become a widespread paradigm to stimulate LLM capabilities for downstream tasks. Due to context length constraints, it cannot be further improved in spite…

Computation and Language · Computer Science 2024-06-04 Jiahao Li , Quan Wang , Licheng Zhang , Guoqing Jin , Zhendong Mao

We present a numerically exact study of charge transport and its fluctuations through a molecular junction driven out of equilibrium by a bias voltage, using the Inchworm quantum Monte Carlo (iQMC) method. After showing how the technique…

Chemical Physics · Physics 2019-06-27 Michael Ridley , Emanuel Gull , Guy Cohen

In-context learning (ICL), a property demonstrated by transformer-based sequence models, refers to the automatic inference of an input-output mapping based on examples of the mapping provided as context. ICL requires no explicit learning,…

Signal Processing · Electrical Eng. & Systems 2024-11-12 Zihang Song , Osvaldo Simeone , Bipin Rajendran

In this paper, we extend a circuit-based, current-voltage power flow formulation to include frequency deviations and implicitly model generator primary and secondary control actions as a function of their temporal dependence. This includes…

Systems and Control · Electrical Eng. & Systems 2019-09-02 Aayushya Agarwal , Amritanshu Pandey , Marko Jereminov , Larry Pileggi

Low-latency live streaming (LLS) has emerged as a popular web application, with many platforms adopting real-time protocols such as WebRTC to minimize end-to-end latency. However, we observe a counter-intuitive phenomenon: even when the…

Image and Video Processing · Electrical Eng. & Systems 2026-02-11 Liming Liu , Zhidong Jia , Li Jiang , Wei Zhang , Lan Xie , Feng Qian , Leju Yan , Bing Yan , Qiang Ma , Zhou Sha , Wei Yang , Yixuan Ban , Xinggong Zhang

Longitudinal space charge (LSC) effects are generally considered harmful in free-electron lasers as they can seed unfavorable energy modulations that can result in density modulations with associated emittance dilution. It was pointed out,…

Accelerator Physics · Physics 2016-07-28 A. Halavanau , P. Piot
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