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arXiv 2023年

作者： Sattari, Kianoosh Eddy, Lucas Beckham, Jacob L. Wyss, Kevin M. Byfield, Richard Qian, Long Tour, James M. Lin, Jian Department of Mechanical and Aerospace Engineering University of Missouri ColumbiaMO65211 United States Department of Chemistry 6100 Main Street HoustonTX77005 United States Applied Physics Program Smalley-Curl Institute 6100 Main Street HoustonTX77005 United States Department of Materials Science and NanoEngineering 6100 Main Street HoustonTX77005 United States Department of Computer Science and Engineering NanoCarbon Center The Welch Institute for Advanced Materials Rice University 6100 Main Street HoustonTX77005 United States

Flash Joule heating (FJH) is a far-from-equilibrium (FFE) processing method for converting low-value carbon-based materials to flash graphene (FG). Despite its promise in scalability and performance, attempts to explore the reaction mechanism have been limited due to complexity involved in the FFE process. Data-driven machine learning (ML) models effectively account for this complexity, but the model training requires considerable amount of experimental data. To tackle this challenge, we constructed a scientific ML (SML) framework trained by using both direct processing variables and indirect, physics-informed variables to predict the FG yield. The indirect variables include current-derived features (final current, maximum current, and charge density) predicted from the proxy ML models and reaction temperatures simulated from multi-physics modeling. With the combined indirect features, the final ML model achieves an average R2 score of 0.81 ± 0.05 and an average RMSE of 12.1% ± 2.0% in predicting the FG yield, which is significantly higher than the model trained without them (R2 of 0.73 ± 0.05 and an RMSE of 14.3% ± 2.0%). Feature importance analysis validates the key roles of these indirect features in determining the reaction outcome. These results illustrate the promise of this SML to elucidate FFE material synthesis outcomes, thus paving a new avenue to processing other datasets from the materials systems involving the same or different FFE processes. Copyright © 2023, The Authors. All rights reserved.

关键词： Graphene

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A 4 GS/s 3-bit Highly Linear Time-Based Analog- to-Digital Converter for Massive MIMO Systems

A 4 GS/s 3-bit Highly Linear Time-Based Analog- to-Digital C...

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Japan-Egypt International Conference on Electronics, Communications and Computers (JEC-ECC)

作者： Ahmed Lutfi Elgreatly Ahmed Ahmed Shaaban Hassan Mostafa Rania Mohamed Abdalla El-Sayed Mahmoud El-Rabaie Faculty of Engineering Port-Said University Port-Said Egypt Nanotechnology and Nanoelectronics Program University of Science and Technology Zewail City of Science and Technology 6th of October Giza Egypt Faculty of Electronic Engineering Menoufia University Menouf Egypt

ISBN: (纸本)9781665482936

Recent studies on modern wireless communication systems are focusing on Massive Multiple- Input Multiple-Output (MIMO) technology for its high potential. MIMO systems require high resolution Analog-to- Digital Converters (ADCs) in the Base Stations (BS) to reduce quantization noise. However, using high resolution ADCs causes higher power consumption at the BS and the hardware costs increase. Reducing the resolution of the ADCs at the BS causes severe non-linearity errors due to additional quantization noise. In other words, MIMO systems cannot achieve high performance without highly linear and low resolution ADCs. In this paper, a 3-bit highly linear Time- based ADC (T-ADC) is presented. The proposed circuit exhibits high linearity, simple design and low power which make it the best solution for the problems that limit the performance of the MIMO systems. The proposed ADC exhibits a linearity error of 0.56 % with a dynamic range equals to 800 mV and at small power consumption of 2.2 mW. The supply voltage used equals to 1.2 V using industrial 65 nm TSMC CMOS technology. The clock frequency equals to 4 GHz at a maximum input frequency of 2 GHz.

关键词： Wireless communication Power demand Quantization (signal) Linearity Voltage Receivers Massive MIMO

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Comparing LSTM and BLSTM Deep Neural Networks for Power Consumption Prediction: Preliminary studies

arXiv

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arXiv 2023年

作者： da Silva, Davi Guimarães de Moura Meneses, Anderson Alvarenga Federal University of Western Pará – Graduate Program in Society Nature and Development R. Vera Paz s/n Salé PA SantarémCEP 68.035-110 Brazil Federal Institute of Education Science and Technology of Pará Brazil Federal University of Western Pará Institute of Geosciences and Engineering Laboratory of Computational Intelligence Brazil

Electric consumption prediction methods are investigated for many reasons such as decision-making related to energy efficiency as well as for anticipating demand in the energy market dynamics. The objective of the present work is the comparison between two Deep Learning models, namely the Long Short-Term Memory (LSTM) and Bi-directional LSTM (BLSTM) for univariate electric consumption Time Series (TS) short-term forecast. The Data Sets (DSs) were selected for their different contexts and scales, aiming the assessment of the models’ robustness. Four DSs were used, related to the power consumption of: (a) a household in France;(b) a university building in Santarém, Brazil;(c) the Tétouan city zones, in Morocco;and (c) the Singapore aggregated electric demand. The metrics RMSE, MAE, MAPE and R2 were calculated in a TS cross-validation scheme. The Friedman’s test was applied to normalized RMSE (NRMSE) results, showing that BLSTM outperforms LSTM with statistically significant difference (p = 0.0455), corroborating the fact that bidirectional weight updating improves significantly the LSTM performance concerning different scales of electric power consumption. © 2023, CC BY-NC-ND.

关键词： Long short-term memory

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Quantum transient heat transport in the hyperparametric oscillator

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Physical Review A 2021年第5期104卷 052220-052220页

作者： JungYun Han Daniel Leykam Dimitris G. Angelakis Juzar Thingna Center for Theoretical Physics of Complex Systems Institute for Basic Science (IBS) Daejeon 34126 Republic of Korea Basic Science Program University of Science and Technology (UST) Daejeon 34113 Republic of Korea Centre for Quantum Technologies National University of Singapore 3 Science Drive 2 Singapore 117543 School of Electrical and Computer Engineering Technical University of Crete Chania Crete 73100 Greece

We explore nonequilibrium quantum heat transport in nonlinear bosonic systems in the presence of a non-Kerr-type interaction governed by hyperparametric oscillation due to two-photon hopping between the two cavities. We estimate the thermodynamic response analytically by constructing the su(2) algebra of the nonlinear Hamiltonian and predict that the system exhibits a negative excitation mode. Consequently, this specific form of interaction enables the cooling of the system by inducing a ground-state transition when the number of particles increases, even though the interaction strength is small. We demonstrate a transition of the heat current numerically in the presence of symmetric coupling between the system and the bath and show long relaxation times in the cooling phase. We compare with the Kerr-type Bose-Hubbard form of interaction induced via cross-phase modulation, which does not exhibit any such transition. We further compute the nonequilibrium heat current in the presence of two baths at different temperatures and observe that the cooling effect for the non-Kerr-type interaction persists. Our findings may help in the manipulation of quantum states using the system's interactions to induce cooling.

关键词： Quantum optics Quantum thermodynamics Quantum transport

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Probing interlayer van der Waals strengths of two-dimensional surfaces and defects, through STM tip-induced elastic deformations

arXiv

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arXiv 2023年

作者： Sarkar, Nirjhar Bandaru, Prabhakar R. Dynes, Robert C. Department of Mechanical Engineering University of California San Diego La Jolla CA92093-0411 United States Department of Physics University of California San Diego La Jolla CA92093-0411 United States Program in Materials Science University of California La Jolla San DiegoCA92093-0411 United States

A methodology to test the interlayer bonding strength of two-dimensional (2D) surfaces and associated one(1D)- and two(2D)- dimensional surface defects using scanning tunneling microscope (STM) tip-induced deformation, is demonstrated. Surface elastic deformation characteristics of soft 2D monatomic sheets of graphene and graphite in contrast to NbSe2 indicates related association with the underlying local bonding configurations. Surface deformation of 2D graphitic moiré patterns reveal the inter-layer van der Waals (vdW) strength varying across its domains. These results help in the understanding of the comparable interlayer bonding strength of 1D grain boundary (GB) as well as the grains. Anomalous phenomena related to probing 2D materials at small gap distances as a function of strain are discussed. © 2023, CC BY-NC-ND.

关键词： Surface defects

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A Kanban-based Approach to Manage Machine Learning Projects in Manufacturing

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Procedia CIRP 2025年 134卷 109-114页

作者： Ulf Schreier Peter Reimann Bernhard Mitschang Business Information Systems - Furtwangen University of Applied Science Robert-Gerwig-Platz 1 D-78120 Furtwangen Germany Graduate School of advanced Manufacturing Engineering (GSaME) University of Stuttgart Nobelstr. 12 D-70569 Stuttgart Germany Institute for Program Structures and Data Organization (IPD) Karlsruhe Institute of Technology (KIT) Am Fasanengarten 5 D-76131 Karlsruhe Germany Institute of Parallel and Distributed Systems (IPVS) University of Stuttgart Universitätsstr. 38 D-70569 Stuttgart Germany

A growing number of machine learning (ML) projects in manufacturing require the collaboration of various experts. In addition to data scientists, stakeholders with production engineering knowledge have to specify and prioritize individual project tasks. Data engineers prepare input data, while machine learning operations (MLOps) engineers ensure that trained models are deployed and monitored within IT landscapes. Existing project management approaches, e.g., Scrum, have problems for ML projects, as they do not consider various expert roles or ML project stages. We propose a project management approach defining a Kanban workflow by readjusting stages of ML development lifecycles, e.g., CRISP DM. This makes it possible to map expert roles to stages of the Kanban workflow. An adapted Kanban board allows visualizing and reviewing the status of all project tasks. We validate our approach with specific use cases, showing that it facilitates ML project management in manufacturing.

关键词： Machine learning (ML) ML project management machine learning operations (MLOps) Kanban Scrum

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Characteristic nanoscale deformations on large area coherent graphite moiré

arXiv

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arXiv 2023年

作者： Sarkar, Nirjhar Bandaru, Prabhakar R. Dynes, Robert C. Department of Mechanical Engineering University of California La Jolla San DiegoCA92093-0411 United States Department of Physics University of California La Jolla San DiegoCA92093-0411 United States Program in Materials Science University of California La Jolla San DiegoCA92093-0411 United States

Highly oriented pyrolytic graphite (HoPG) may be the only known monatomic crystal with the ability to host naturally formed moiré patterns on its cleaved surfaces, which are coherent over micrometer scales and with discrete sets of twist angles of fixed periodicity. Such an aspect is in marked contrast to twisted bilayer graphene (TBG) and other multilayered systems, where the long range coherence of the moiré is not easily maintained due to twist angle disorder. We investigate the electronic and mechanical response of coherent graphite moiré patterns through inducing external strain from STM tip-induced deformation. Consequently, unique anisotropic mechanical characteristics are revealed. For example, a lateral widening of one-dimensional (1D) domain walls (DWs) bridging Bernal (ABA) and rhombohedral (ABC) stacking domains (A, B and C refer to the atomic layer positioning), was indicated. Further, in situ tunneling spectroscopy as a function of the deformation indicated a tendency towards increased electrical conductance, which may be associated with a higher density of electronic states, and the consequent flattening of the electronic energy band dispersion. Such features were probed across the DWs, with implications for strain-induced electronic modulation of the moiré characteristics. © 2023, CC BY-NC-ND.

关键词： Domain walls

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Development and characterization of biodegradable active films based on rice starch with nanocellulose and Amaranthus viridis extract

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International journal of biological macromolecules 2025年 318卷 145243页

作者： Jocilane Pereira de Oliveira Vanderlúcio de Souza Moreira Jéssica Santos de Oliveira Lucas Britto Landim Normane Mirele Chaves da Silva Cristiane Patrícia de Oliveira Graduate Program in Food Engineering and Science State University of Bahia Itapetinga BA 45700-000 Brazil. Electronic address: jocilanepereira20@***. Department of Agribusiness Technology Federal Institute of Education Science and Tecnology of Baiano Guanambi Campus Guanambi 46430-000 Bahia Brazil. Graduate Program in Food Engineering and Science State University of Bahia Itapetinga BA 45700-000 Brazil.

This study investigated the incorporation of Amaranthus viridis (AV) extract into films composed of rice starch (RS) and nanocellulose (CNF) at concentrations of 5 %, 7.5 %, and 10 %, aiming to evaluate the effects on physicochemical, mechanical, and antioxidant properties. The addition of AV increased the films' structural density, especially at 10 %, which showed a compact surface with no visible pores and characteristic specks related to mineral salt crystallization (calcium, iron, magnesium) interacting with oxalates to form insoluble complexes. Fourier-transform infrared spectroscopy (FTIR) analysis confirmed interactions between extract compounds and the polymer matrix. Thermal stability improved with more extract, with degradation peaks reaching 420 °C at 10 % AV. Water solubility increased from 28 % (RS + CNF) to 37 % (10 % AV), while water holding capacity decreased from 42 % to 26 %. Film thickness decreased from 80 μm to 50 μm. Regarding mechanical properties, tensile strength rose to 6.5 MPa at 5 % AV, and elongation at break reached 145 % with 10 % AV, indicating increased flexibility. Antioxidant activity improved with higher AV levels, with the 10 % film presenting the best performance: FRAP (499.10 μg/mL), phosphomolybdenum method (372.42 mg AAE/g), ABTS (26.52 % RSA), and DPPH IC₅₀ (27.42 μg/mL). All formulations exhibited biodegradability, with mass loss above 80 % after 15 days of soil exposure. In conclusion, the incorporation of Amaranthus viridis extract, particularly at 10 %, enhanced the films' structural, mechanical, and antioxidant properties, confirming its potential for use in active and biodegradable packaging.

关键词： Antioxidant activity Caruru Cellulose nanofibrils Food packaging

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The Application of Gas Sensor Array based Electronic Nose for Milk Spoilage Detection

The Application of Gas Sensor Array based Electronic Nose fo...

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International Conference on engineering, Applied sciences, and Technology (ICEAST)

作者： Natnaree Phukkaphan Tanthip Eamsa-ard Chalisa Chairanit Teerakiat Kerdcharoen Materials Science and Engineering Program and Center of Nanoscience and Nanotechnology Faculty of Science Mahidol University Bangkok Thailand Faculty of Science Khon Kean University Khon Kean Thailand Faculty of Science Mahidol University and NANOTEC Center of Excellence atMahidol University Bangkok Thailand

Microbial spoilage in milk is a crucial concern for healthy consumption. This study aims to apply the electronic nose system (e-nose) comprising an array of different gas sensors as an initial tool for monitoring of food spoilage for maintaining food safety and human health. In this system, nanocomposite gas sensors based on different polymers and functionalized single-walled carbon nanotubes (f-SWCNTs) are employed. By exposure of these gas sensors to the milk's headspace, the gas sensors show responsive signals toward volatile organic compounds (VOCs) contained in the milk. The pasteurized milks under two storage conditions, at 4°C (±1°C) and 25°C (± 1°C), were used to observe development of spoilage for 9 days. To consider the capability of electronic nose for freshness and milk spoilage detection, the odor pattern was analyzed using principal component analysis (PCA). The ability of each sensor to detect the intensity of the odor level was observed by tracking the change of sensing responses. The discrimination results have shown that the odor levels of samples stored at 4°C are not different from the first day to the ninth day, whereas the odor levels of samples stored at room temperature condition are increasing upon the storage time. The exploration in this work can thus provide information about the application of electronic nose with nanocomposite gas sensor array as a beneficial tool for monitoring the food spoilage and quality control.

关键词： Temperature sensors Volatile organic compounds Dairy products Quality control Tools Electronic noses Gas detectors

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Reductive immobilization and long-term remobilization of radioactive pertechnetate using bio-macromolecules stabilized zero valent iron nanoparticles

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Chinese Chemical Letters 2019年第12期30卷 2163-2168页

作者： Haodong Ji Yangmo Zhu Jun Duan Wen Liu Dongye Zhao The Key Laboratory of Water and Sediment Science Ministry of EducationCollege of Environment Science and EngineeringPeking UniversityBeijing 100871China Environmental Engineering Program Department of Civil EngineeringAuburn UniversityAuburnAL 36849United States The Beijing Innovation Center for Engineering Science and Advanced Technology(BIC-ESAT) Peking UniversityBeijing 100871China Institute of Environmental Science Taiyuan University of Science and TechnologyTaiyuan 030024China

Reductive immobilization of radioactive pertechnetate(99TcO4^-) in simulated groundwater was studied by prepared carboxymethyl cellulose(CMC) and starch stabilized zero valent iron nanoparticles(nZVI),and long-term remobilization of reduced Tc was also evaluated under anoxic and oxic *** stabilized nZVI can effectively reduce soluble 99Tc(Ⅶ) to insoluble 99 Tc(Ⅳ),and they can be easily delivered into a contaminated groundwater zone and facilitate in situ *** this study,CMCstabilized nZVI showed higher reactivity than that using starch as the *** experiments indicated that more than 99% of 99 Tc(Ⅶ)(CO=12 mg/mL) was reduced and removed from groundwater by CMC-stabilized nZVI with a CMC content of 0.2%(w/w) at a broad pH of 5-8.X-ray diffraction(XRD)and X-ray photoelectron spectroscopy(XPS) analyses further confirmed that 99Tc(Ⅶ)O4^-transformed into 99Tc(Ⅳ)O2(s).The presence of bicarbonate exhibited insignificant effect on Tc immobilization,while humic acid(HA) inhibited reaction mainly due to retardation on electron transfer and formation of Tc(IV)-HA *** interesting,the immobilized Tc(Ⅳ) remained insoluble even after 120 d under anoxic condition,while only^21 % was remobilized when exposed to ***,biomacromolecules stabilized nZVI nanoparticles could be a viable alternative for in situ remediation of radioactive contamination in groundwater.

关键词： Reductive immobilization Radionuclide Stabilized nanoparticles Zero valent iron Groundwater Technetium

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