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This paper presents a novel modular, reconfigurable battery energy storage system. The proposed design is characterized by a tight integration of reconfigurable power switches and DC/DC converters. This characteristic enables isolation of…

Systems and Control · Electrical Eng. & Systems 2023-01-13 Amir Farakhor , Di Wu , Yebin Wang , Huazhen Fang

For the DNA denaturation transition in the presence of random contact energies, or equivalently the disordered wetting transition, we introduce a Strong Disorder Renewal Approach to construct the optimal contacts in each disordered sample…

Disordered Systems and Neural Networks · Physics 2017-01-23 Cecile Monthus

Gene regulatory networks (GRNs) play a central role in cellular decision-making. Understanding their structure and how it impacts their dynamics constitutes thus a fundamental biological question. GRNs are frequently modeled as Boolean…

Molecular Networks · Quantitative Biology 2024-01-19 Claus Kadelka , Taras-Michael Butrie , Evan Hilton , Jack Kinseth , Addison Schmidt , Haris Serdarevic

Several nanoelectronic devices have been already proved. However, no architecture which makes use of them provides a feasible opportunity to build medium/large systems. Nanoarchitecture proposals only solve a small part of the problems…

Materials Science · Physics 2007-08-13 F. Martorell , A. Rubio

Conventional electrical fault models, which rely on static thresholds and instantaneous trip mechanisms, fail to capture the time-evolving dynamics of real faults, creating vulnerabilities in modern power systems. This paper introduces a…

Systems and Control · Electrical Eng. & Systems 2025-12-30 Alex Mwololo Kimuya , Dickson Mwenda Kinyua

Realizing a controllable network with multiple degrees of interaction is a challenge to physics and engineering. Here, we experimentally report an on-chip reconfigurable network based on nanoelectromechanical resonators with…

Quantum Physics · Physics 2020-09-08 Tian Tian , Shaochun Lin , Liang Zhang , Peiran Yin , Pu Huang , Changkui Duan , Liang Jiang , Jiangfeng Du

Novel approaches to DNA sequencing and detection require the measurement of electrical currents between metal probes immersed in ionic solution. Here, we experimentally demonstrate that these systems maintain large background currents with…

The control of the dielectric and conductive properties of device-level systems is important for increasing the efficiency of energy- and information-related technologies. In some cases, such as neuromorphic computing, it is desirable to…

Mesoscale and Nanoscale Physics · Physics 2020-07-28 Dimitrios Fraggedakis , Mohammad Mirzadeh , Tingtao Zhou , Martin Z. Bazant

Large language models produce repetitive output when prompted independently across many batches, a phenomenon we term cross-batch mode collapse: the progressive loss of output diversity when a language model is prompted repeatedly without…

Computation and Language · Computer Science 2026-04-09 Ryan Lingo , Rajeev Chhajer

Colloidal nanocrystal quantum dots (QD) enable the bottom-up assembly of designer solids. Among the multitudinous applications of QD solids, there has been great success in exploiting the tunable optical properties for LED displays,…

Mesoscale and Nanoscale Physics · Physics 2025-10-02 Xiangxi Yin , Bence Papp , Shane Revel , Sk Tahmid Shahriar , Tamar S. Mentzel

Charge transfer can take place along double helical DNA over distances as long as 30 nanometers. However, given the active role of the thermal environment surrounding charge carriers in DNA, physical mechanisms driving the transfer process…

Mesoscale and Nanoscale Physics · Physics 2020-12-04 Roman Korol , Dvira Segal

With the rapid increase of available digital data, DNA storage is identified as a storage media with high density and capability of long-term preservation, especially for archival storage systems. However, the encoding density (i.e., how…

Emerging Technologies · Computer Science 2021-08-26 Bingzhe Li , Li Ou , David Du

We propose a scalable neuromorphic architecture based on spiking dynamics emerging from the autonomous time-continuous evolution of clockless (asynchronous) digital circuits. Implemented on commercially available field-programmable gate…

Neural and Evolutionary Computing · Computer Science 2026-05-18 Eric Oliveira Gomes , Damien Rontani

Composite DNA is a recent novel method to increase the information capacity of DNA-based data storage above the theoretical limit of 2 bits/symbol. In this method, every composite symbol does not store a single DNA nucleotide but a mixture…

Information Theory · Computer Science 2025-01-22 Tuan Thanh Nguyen , Chen Wang , Kui Cai , Yiwei Zhang , Zohar Yakhini

Double-stranded DNA (dsDNA) has been established as an efficient medium for charge migration, bringing it to the forefront of the field of molecular electronics as well as biological research. The charge migration rate is controlled by the…

Soft Condensed Matter · Physics 2020-11-25 Abhishek Aggarwal , Vinayak , Saientan Bag , Chiranjib Bhattacharyya , Umesh V. Waghmare , Prabal K Maiti

Quantum sensing and computation can be realized with superconducting microwave circuits. Qubits are engineered quantum systems of capacitors and inductors with non-linear Josephson junctions. They operate in the single-excitation quantum…

Diffusion models (DMs) have recently demonstrated remarkable success in modeling large-scale data distributions. However, many downstream tasks require guiding the generated content based on specific differentiable metrics, typically…

Machine Learning · Computer Science 2025-05-13 Hongkun Dou , Zeyu Li , Xingyu Jiang , Hongjue Li , Lijun Yang , Wen Yao , Yue Deng

We present a finite blocklength performance bound for a DNA storage channel with insertions, deletions, and substitutions. The considered bound -- the dependency testing (DT) bound, introduced by Polyanskiy et al. in 2010 -- provides an…

Information Theory · Computer Science 2023-08-07 Issam Maarouf , Gianluigi Liva , Eirik Rosnes , Alexandre Graell i Amat

Recent demonstrations using electron spins stored in quantum dots array as qubits are promising for developing a scalable quantum computing platform. An ongoing effort is therefore aiming at the precise control of the quantum dots…

Recent progress in speech separation has been largely driven by advances in deep neural networks, yet their high computational and memory requirements hinder deployment on resource-constrained devices. A significant inefficiency in…

Audio and Speech Processing · Electrical Eng. & Systems 2025-07-09 Mohamed Elminshawi , Srikanth Raj Chetupalli , Emanuël A. P. Habets
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