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Enhancing performance of polymer-based microchannel heat exchanger with nanofluid: A computational fluid dynamics-artificial neural network approach

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South African Journal of Chemical Engineering 2023年 46卷 361-375页

作者： Kamsuwan, Chaiyanan Wang, Xiaolin Seng, Lee Poh Xian, Cheng Kai Piemjaiswang, Ratchanon Piumsomboon, Pornpote Manatura, Kanit Kaewbumrung, Mongkol Pratumwal, Yotsakorn Otarawanna, Somboon Chalermsinsuwan, Benjapon Fuels Research Center Department of Chemical Technology Faculty of Science Chulalongkorn University Bangkok 10330 Thailand School of Engineering The Australian National University Canberra 2601 ACT Australia Department of Mechanical Engineering Faculty of Engineering National University of Singapore 9 Engineering Drive 1 117576 Singapore Environmental Research Institute Chulalongkorn University Bangkok 10330 Thailand Center of Excellence on Petrochemical and Materials Technology Chulalongkorn University Bangkok 10330 Thailand Department of Mechanical Engineering Faculty of Engineering at Kamphaeng Saen Kasetsart University Kamphaeng Saen Campus Nakhon Pathom 73140 Thailand Department of Mechanical Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi (Huntra Campus) Phranakhon Si Ayutthaya 13000 Thailand National Metal and Materials Technology Center National Science and Technology Development Agency Pathum Thani 12120 Thailand Advanced Computational Fluid Dynamics Research Unit Chulalongkorn University Bangkok 10330 Thailand

Polymer-based heat exchangers can offer a promising solution for environmental sustainability due to their low energy consumption. The incorporation of microchannels and nanofluids further enhances the heat transfer performance of these heat exchangersIn this study, a polymer-based microchannel heat exchanger combined with nanofluid is simulated through the integration of an artificial neural network predictive model and a three-dimensional computational fluid dynamics model. This study unveils an advanced calculation that integrates artificial intelligence and readily-available computational software provided as the advanced calculation system. A statistical mathematics response surface method which data is used for correlating the calculation model is applied to obtain the design parameters between operating conditions and for optimal performance. The optimized results reveal that polymer-based microchannel heat exchanger combined with nanofluid is a promising innovation. The heat transfer improvement achieved a 12 % increase in the overall heat transfer coefficient by using TiO₂/Water compared to Water. Moreover, a 1.03 performance index is obtained when CuO/Water nanofluid is used, a 66 horizontal parallel connecting of the polymer-based microchannel heat exchanger shows that the equipment can afford the same heat transfer performance of the metal-based microchannel heat exchanger in TiO₂/Water nanofluid usage and implying a balance between heat transfer enhancement and energy consumption. © 2023 The Author(s)

关键词： Artificial neural network computational fluid dynamics Heat exchanger Nanofluid Performance optimization Polymer-based microchannel

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Effect of shapes degrees of freedom on the fusion cross-sections of 16O+154Sm and 18O+148Nd 1

Effect of shapes degrees of freedom on the fusion cross-sect...

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1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021

作者： Jain, Nishu Rana, Shilpa Joshua, T.M. Kumar, Raj Bhuyan, M. School of Physics and Materials Science Thapar Institute of Engineering and Technology Patiala147004 India Institute of Engineering Mathematics Faculty of Applied and Human Sciences Universiti Malaysia Perlis Perlis Arau02600 Malaysia Center for Theoretical and Computational Physics Department of Physics Faculty of Science University of Malaya Kuala Lumpur50603 Malaysia Institute of Research and Development Duy Tan University Da Nang550000 Viet Nam

ISBN: (纸本)9781607685395

The fusion dynamics of 16O + 154Sm and 18O+148Nd reactions has been investigated to observe the effect of shape degree of freedom on the fusion cross-section using the coupled channel (CC) calculations. The one dimentional barrier penetration model (1-D BPM) is observed to underestimate the experimental data mainly at below barrier energies. The coupled channel calculations including target projectile excitations with 1 phonon of vibrational state and 2+ rotational state of target reproduce the experimental fusion cross-section for 16O + 154Sm reaction at below barrier energies while show some discrepancy for 18O+148Nd reaction. This discrepancy for 18O+148Nd reaction can be addressed with the inclusion of low-lying states with neutron transfer channels and the neck-formation. © The Electrochemical Society

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Investigation of astrophysical S-factor for 12C + 16O and 16O + 16O reactions within the relativistic mean-field approach 1

Investigation of astrophysical S-factor for 12C + 16O and 16...

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1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021

作者： Rana, Shilpa Jain, N. Joshua, T.M. Bhuyan, M. Kumar, Raj School of Physics and Materials Science Thapar Institute of Engineering and Technology Punjab Patiala147004 India Institute of Engineering Mathematics Faculty of Applied and Human Sciences University Malaysia Perlis Perlis Arau02600 Malaysia Center for Theoretical and Computational Physics Department of Physics Faculty of Science University of Malaya Kuala Lumpur50603 Malaysia Institute of Research and Development Duy Tan University Da Nang 550000 Viet Nam

ISBN: (纸本)9781607685395

The fusion dynamics of 12C + 16O and 16O + 16O astrophysical reactions is investigated using the relativistic mean-field (RMF) formalism for the non-linear NL3* parameter set. The RMF densities, along with the widely adopted M3Y and relativistic R3Y nucleon-nucleon (NN) interaction potentials, are used to obtain the nuclear potential within the double folding approach. The -summed Wong model is used to obtain the fusion cross-section. The max values are extracted from the sharp cut-off model. The fusion cross-section is also represented in terms of the astrophysical S-factor, and the results are compared with the available experimental data. The microscopic R3Y NN potential is observed to give a reasonable fit to the experimental cross-section. © The Electrochemical Society

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Nucleon form factors in Nf=2+1 lattice QCD at the physical point: Finite lattice spacing effect on the root-mean-square radii

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Physical Review D 2024年第9期109卷 094505-094505页

作者： Ryutaro Tsuji Yasumichi Aoki Ken-Ichi Ishikawa Yoshinobu Kuramashi Shoichi Sasaki Kohei Sato Eigo Shintani Hiromasa Watanabe Takeshi Yamazaki Department of Physics Tohoku University Sendai 980-8578 Japan RIKEN Center for Computational Science Kobe 650-0047 Japan Core of Research for the Energetic Universe Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima 739-8526 Japan Center for Computational Sciences University of Tsukuba Tsukuba Ibaraki 305-8577 Japan Degree Programs in Pure and Applied Sciences Graduate School of Science and Technology University of Tsukuba Ibaraki 305-8571 Japan Yukawa Institute for Theoretical Physics Kyoto University Kyoto 606-8502 Japan Institute of Pure and Applied Sciences University of Tsukuba Tsukuba Ibaraki 305-8571 Japan

We present results for the nucleon form factors: electric (GE), magnetic (GM), axial (FA), induced pseudoscalar (FP), and pseudoscalar (GP) form factors, using the second PACS10 ensemble that is one of three sets of 2+1 flavor lattice QCD configurations at physical quark masses in large spatial volumes [exceeding (10 fm)3]. The second PACS10 gauge configurations are generated by the PACS Collaboration with the six stout-smeared O(a) improved Wilson quark action and Iwasaki gauge action at the second gauge coupling β=2.00 corresponding to the lattice spacing of a=0.063 fm. We determine the isovector electric, magnetic and axial radii, and magnetic moment from the corresponding form factors, as well as the axial-vector coupling gA. Combining our previous results for the coarser lattice spacing [E. Shintani et al., Phys. Rev. D 99, 014510 (2019); Phys. Rev. D 102, 019902(E) (2020)], the finite lattice spacing effects on the isovector radii, magnetic moment, and axial-vector coupling are investigated using the difference between the two results. It was found that the effect on gA is kept smaller than the statistical error of 2% while the effect on the isovector radii was observed as a possible discretization error of about 10%, regardless of the channel. We also report the partially conserved axial-vector current relation using a set of nucleon three-point correlation functions in order to verify the effect by O(a) improvement of the axial-vector current.

关键词： Lattice QCD Nucleons

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Impact of Cation Vacancies on Leakage Current on TiN/ZrO2/TiN Capacitors Studied by Positron Annihilation

Impact of Cation Vacancies on Leakage Current on TiN/ZrO2/Ti...

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Joint e-Manufacturing and Design Collaboration Symposium (eMDC) & International Symposium on Semiconductor Manufacturing (ISSM)

作者： Akira Uedono Naomichi Takahashi Ryu Hasunuma Yosuke Harashima Yasuteru Shigeta Zeyuan Ni Hidefumi Matsui Akira Notake Atsushi Kubo Tsuyoshi Moriya Koji Michishio Nagayasu Oshima Shoji Ishibashi Faculty of Pure and Applied Science University of Tsukuba Tsukuba Ibaraki Japan Graduate School of Science and Technology Nara Institute of Science and Technology Ikoma Nara Japan S-Technology Development Center Tokyo Electron Technology Solutions Ltd. Nirasaki Yamanashi Japan SDC AI Development Department Tokyo Electron Ltd. Sapporo Hokkaido Japan Advanced Data Planning Department Tokyo Electron Ltd. Tokyo Japan Research Institute for Measurement and Analytical Instrumentation National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan Research Center for Computational Design of Advanced Functional Materials National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan

ISBN: (纸本)9781665471343

TiN/ZrO 2 /TiN capacitors were characterized using XRD, STEM, EDX, and monoenergetic positron beams. For an as-deposited ZrO 2 layer, an interlayer was formed in the layer. After post-deposition annealing at 550°C, the width of the interlayer expanded. The major vacancy-type defects in the ZrO 2 layer were determined to be a Zr-vacancy coupled with oxygen vacancies by the positron annihilation technique. After annealing, the size of these vacancies increased. The presence of the cation vacancies and their complexes in the ZrO 2 layer suggests that not only oxygen vacancies but also such defects play a role in the defect formation of the ZrO 2 layer and affect its electrical properties.

关键词： Annealing X-ray scattering Capacitors Positrons Semiconductor device manufacture Leakage currents

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No Imputation without Representation

arXiv

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arXiv 2022年

作者： Lenz, Oliver Urs Peralta, Daniel Cornelis, Chris Leiden Institute of Advanced Computer Science Leiden University Netherlands Research Group for Computational Web Intelligence Department of Applied Mathematics Computer Science and Statistics Ghent University Belgium Department of Information Technology Ghent University Belgium

By filling in missing values in datasets, imputation allows these datasets to be used with algorithms that cannot handle missing values by themselves. However, missing values may in principle contribute useful information that is lost through imputation. The missing-indicator approach can be used in combination with imputation to instead represent this information as a part of the dataset. There are several theoretical considerations why missing-indicators may or may not be beneficial, but there has not been any large-scale practical experiment on real-life datasets to test this question for machine learning predictions. We perform this experiment for three imputation strategies and a range of different classification algorithms, on the basis of twenty real-life datasets. In a follow-up experiment, we determine attribute-specific missingness thresholds for each classifier above which missing-indicators are more likely than not to increase classification performance. And in a second follow-up experiment, we evaluate numerical imputation of one-hot encoded categorical attributes. We reach the following conclusions. Firstly, missing-indicators generally increase classification performance. Secondly, with missing-indicators, nearest neighbour and iterative imputation do not lead to better performance than simple mean/mode imputation. Thirdly, for decision trees, pruning is necessary to prevent overfitting. Fourthly, the thresholds above which missing-indicators are more likely than not to improve performance are lower for categorical attributes than for numerical attributes. Lastly, mean imputation of numerical attributes preserves some of the information from missing values. Consequently, when not using missing-indicators it can be advantageous to apply mean imputation to one-hot encoded categorical attributes instead of mode imputation. © 2022, CC BY-NC-ND.

关键词： Adversarial machine learning

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Modulatory Effects of Ethanol with Nicotiana Tabacum and Cannabis Sativa on Markers of Brain Function and Haematological Parameters: In-Vivo and In-Silico Approach

Modulatory Effects of Ethanol with Nicotiana Tabacum and Can...

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2024 International Conference on science, Engineering and Business for Driving Sustainable development Goals, SEB4SDG 2024

作者： Charles, Nwonuma O. Olajide, Blessing Olwafunmilola Afolabi, Boluwatife Percy, Babasoji Omoniwa Chukwuma, Nwikwe David Alejolowo, Omokolade Olwuwaseyi Elebiyo, Tobiloba Christiana Titilola Kayode, Omowumi Adeleke Ojo, Oluwafemi Isreal, Olasoju Taiwo Idoko, Siddiq Ali Taiwo, Odunayo Anthonia Emmanuel Olorunleke, Oludipe Landmark University College of Pure and Applied Sciences Department of Biochemistry Kwara State Omu Aran Nigeria Landmark University College of Pure and Applied Sciences Department of Biochemistry Kwara State Omu Aran Nigeria College of Pure and Applied Sciences Department of Biochemistry Nigeria University of Jos Ethnopharmacology Reproductive Biochemistry and Biochemical Toxicology Research Laboratory Department of Science Laboratory Technology Nigeria University of Ilorin Department of Biochemistry Ilorin Nigeria Mountain Top University Department of Biochemistry Ogun State Nigeria Bowen University Phytomedicine Molecular Toxicology and Computational Biochemistry Research Group Department of Biochemistry Iwo232101 Nigeria Federal Ministry of Agriculture and Rural Development Department of Veterinary and Pest Control Services Abuja Nigeria Federal University Department of Biochemistry Katsina State Dutsin-Ma Nigeria Chrisland University Department of Biochemistry Abeokuta Nigeria Landmark University Department of Food Science and Microbiology Kwara State Omuaran Nigeria

ISBN: (纸本)9798350358155

Drugs and other substances with psychoactive substances have the potential to alter body functioning and structure when ingested either for medical or recreational purposes. The study investigated the effects of ethanol with Nicotiana tabacum and Cannabis sativa on markers of brain function and hematological parameters through both an experimental and docking predictive approach. Thirty-five female Wistar rats with an average weight of 180 ± 0.5 g were randomly assigned to seven treatment groups of five rats each: ethanol, Nicotiana tabacum, Cannabis sativa, ethanol + Nicotiana tabacum, ethanol + Cannabis sativa, and ethanol + Nicotiana tabacum + Cannabis sativa. The dosage of the substance administered in each group includes 30 ml/kg body weight (BW) of 40% ethanol, 13.44 g/kg BW of Nicotiana tabacum, and 6.72 g/kg BW of Cannabis sativa. Smoke from Nicotiana tabacum and Cannabis sativa sativa was inhaled for five minutes while ethanol was given orally. At the end of the 28-day treatment, the rats were euthanized. Brain homogenates underwent biochemical assays and blood parameters were examined. There was a significant decrease (p © 2024 IEEE.

关键词： Medicinal chemistry

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Systematic Search for Stabilizing Dopants in ZrO2 and HfO2 Using First-Principles Calculations

Systematic Search for Stabilizing Dopants in ZrO2 and HfO2 U...

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Joint e-Manufacturing and Design Collaboration Symposium (eMDC) & International Symposium on Semiconductor Manufacturing (ISSM)

作者： Yosuke Harashima Hiroaki Koga Zeyuan Ni Takehiro Yonehara Michio Katouda Akira Notake Hidefumi Matsui Tsuyoshi Moriya Mrinal Kanti Si Ryu Hasunuma Akira Uedono Yasuteru Shigeta Graduate School of Science and Technology Nara Institute of Science and Technology Ikoma Nara Japan Department of Computational Science and Technology Research Organization for Information Science and Technology Tokyo Japan S-Technology Development Center Tokyo Electron Technology Solutions Ltd. Nirasaki Yamanashi Japan SDC AI Development Department Tokyo Electron Ltd. Sapporo Hokkaido Japan Advanced Data Planning Department Tokyo Electron Ltd. Tokyo Japan Center for Computational Sciences University of Tsukuba Tsukuba Ibaraki Japan Faculty of Pure and Applied Science University of Tsukuba Tsukuba Ibaraki Japan

ISBN: (纸本)9781665471343

In this study, we performed systematic search for dopants to stabilize the tetragonal structure of HfO 2 and ZrO 2 by using first-principles calculations. Whole impurity configurations within the supercell, more than 12,000 systems, are examined and the most stable configurations are assumed to be realized. We reveal the contributions of the dopants to the structural stability of tetragonal phase, and that Si or Ge significantly stabilize the tetragonal phase.

关键词： Temperature dependence Systematics Impurities Lattices Semiconductor device manufacture Germanium Silicon

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Polarization effect on molecular ionization and Rydberg-state excitation in laser fields

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Optics Express 2025年第10期33卷 21796-21806页

作者： Hu, Shilin Yi, Xiaopeng Guo, Li Li, Pengcheng Chen, Jing Research Center for Advanced Optics and Photoelectronics Department of Physics College of Science Shantou University Guangdong Shantou515063 China Key Laboratory of Intelligent Manufacturing Technology of MOE Shantou University Guangdong Shantou515063 China Institute of Applied Physics and Computational Mathematics P.O. Box 8009 Beijing100088 China Department of Physics Shanghai Normal University Shanghai200234 China Department of Modern Physics Hefei National Research Center for Physical Sciences School of Physical Sciences University of Science and Technology of China Hefei230026 China Hefei National Laboratory Hefei230088 China

We have studied the impact of the dynamic core-electron polarization on molecular ionization and Rydberg-state excitation for CO molecules subjected to different laser pulses by numerically solving the three-dimensional time-dependent Schrödinger equations (TDSE) and semiclassical simulations. It is found that the ionization and the Rydberg-state excitation prefer to occur for the peak electric field pointing from C nucleus to O nucleus if the multielectron polarization effect is included, which are consistent with previous experimental observations. In addition, the electron tends to occupy the low-lying excited states after the occurrence of tunneling and the excitation yield increases relatively with respect to the ionization probability if the polarization effect is considered, and the above intriguing features are ascribed to the facts that the tunneling exit becomes closer to the core due to the polarization effect. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Schrodinger equation

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A Study on Seizure Detection Performance in an Automated Process by Extracting Entropy Features

A Study on Seizure Detection Performance in an Automated Pro...

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International Conference on Signal Processing and Information Security (ICSPIS)

作者： Sricheta Parui Debasis Samanta Nishant Chakravorty Wathiq Mansoor Uttam Ghosh Advanced Technology Development Centre Indian Institute of Technology Kharagpur India Department of Computer Science and Engineering Indian Institute of Technology Kharagpur India School of Medical Science and Technology Indian Institute of Technology Kharagpur India University of Dubai Dubai United Arab Emirates Meharry School of Applied Computational Sciences Nashville TN USA

ISBN: (纸本)9781665492669

Millions of people of all ages have been diagnosed with epilepsy all over the world. Electroencephalography (EEG), a quantitative component, is vital in identifying and analyzing epileptic seizures. Manual EEG detection takes a long time and has serious consequences. To prevent this circumstance, the world needs alternative detection technologies. For more than a decade, several strategies and procedures have been used to assist medical doctors in detecting technological improvement. Numerous automated seizure identification frameworks that use machine learning approaches have recently been presented to replace traditional methodologies. However, because multichannel EEG data is unpredictable, selecting optimal channels as well as characteristics and classifying them remain unsolved issues. During automatic signaling, the gadget also emits a noisy signal, making detection and prediction challenging. In this paper, we have tested various entropy features and selected the best features to classify seizure patients. First, we preprocessed the data using IMF of the raw signal, and then entropy features were extracted to classify the epileptic patients. The proposed channel selection method, SVM-GA, works well with our framework and successfully removes redundant channels from the data.

关键词： Support vector machines Medical services Signal processing Feature extraction Entropy Electroencephalography Data mining

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