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SSRN 2023年

作者： Fernandes, Daiane Hernandes, Paola Gay Moreira, Mario Lucio Raubach, Cristiane Wienke Jardim, Pedro Lovato Gomes Ferrer, Mateus Meneghetti Moreira, Eduardo Ceretta Mastelaro, Valmor Roberto Cava, Sergio da S. Post-Graduate Program in Materials Science and Engineering Federal University of Pelotas RS Pelotas96010-610 Brazil Post-Graduate Program in Physics Federal University of Pelotas RS Capão do Leão96160-000 Brazil Spectroscopy Laboratory Federal University of Pampa RS Bagé96413-172 Brazil Physics Institute São Paulo University SP São Carlos13560-970 Brazil

BaZr1-2xFe2xO3-δ (x=0.00, 0.02, 0.04 and 0.08) samples were prepared by microwave-assisted hydrothermal method quickly and at low-temperature. Furthermore, we explored for the first time the effect of iron (Fe) in the barium zirconate (BZO) lattice on photocatalytic and piezocatalytic activity to degrade organic dye. Fe insertion reduced the band gap, altered the electronic structure and induced luminescence quenching. The catalytic activity of the samples was analyzed through the degradation of the rhodamine B (RhB) dye. The photocatalytic experiment was performed under UVC light and the piezocatalytic experiment under ultrasonic vibration. The pure sample of BZO showed better photocatalytic performance, while the insertion of Fe was unfavorable to degrade RhB. In contrast, pure BZO has negligible piezocatalytic activity, but a low Fe content is highly beneficial for promoting piezocatalysis. Based on the findings, this study provides important information for obtaining effective photocatalysts and piezocatalysts to be used in environmental remediation. © 2023, The Authors. All rights reserved.

关键词： Iron

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Accurate and precise quantum computation of valence two-neutron systems

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Physical Review C 2024年第6期109卷 064305-064305页

作者： Sota Yoshida (吉田聡太) Takeshi Sato (佐藤健) Takumi Ogata (緒方拓巳) Tomoya Naito (内藤智也) Masaaki Kimura (木村真明) Institute for Promotion of Higher Academic Education School of Data Science and Management for Accelerator-based Science RIKEN Wako 351-0198 Japan Graduate School of Engineering Photon Science Center School of Engineering Research Institute for Photon Science and Laser Technology RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) RIKEN 2-1 Hirosawa Wako 351-0198 Japan Department of Physics Graduate School of Science

Developing methods to solve nuclear many-body problems with quantum computers is an imperative pursuit within the nuclear physics community. Here, we introduce a quantum algorithm to accurately and precisely compute the ground state of valence two-neutron systems leveraging presently available noisy intermediate-scale quantum devices. Our focus lies on the nuclei having a doubly magic core plus two valence neutrons in the p, sd, and pf shells, i.e., He6, O18, and Ca42, respectively. Our ansatz, quantum circuit, is constructed in the pair-wise form, taking into account the symmetries of the system in an explicit manner, and enables us to reduce the number of qubits and the number of CNOT gates required. The results on a real quantum hardware by IBM Quantum Platform show that the proposed method gives very accurate results of the ground-state energies, which are typically within 0.1% error in the energy for He6 and O18 and at most 1% error for Ca42. Furthermore, our experiments using real quantum devices also show the pivotal role of the circuit layout design, attuned to the connectivity of the qubits, in mitigating errors.

关键词： Nuclear many-body theory Quantum simulation Shell model

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Review on Coral Reef Regeneration Methods through Renewable Powered Electrotherapy

Review on Coral Reef Regeneration Methods through Renewable ...

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Clean and Green Energy engineering (CGEE), International Conference on

作者： Ehsan Elatfy Lobna A. Said Irene S. Fahim Ahmed G. Radwan SESC Research Center Nile University Giza Egypt Nanoelectronics integrated Systems Center (NISC) Nile University Giza Egypt Industrial Engineering Program SESC Research Center Nile University Giza Egypt School of Engineering and Applied Sciences Nile University Giza Egypt Engineering Mathematics and Physics Dept. Cairo University Giza Egypt

The restoration of coral reef population in coastal regions is currently a growing concern. Many attempts have been made to apply new approaches to limit the deterioration of coral reefs, and to accelerate the growth of new reefs to protect coastal areas and ecosystems using available renewable energy sources. This paper highlights the new approaches and their various advantages and limitations in tidal and wave energy. The paper also suggests improvements to some of those systems using the recent developments in soft robotics, especially the use of biomimetic fish as a feasible support platform for the monitoring and maintenance of the power generation and potential restoration systems.

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Monitoring Stress Level Through EDA by Using Convex Optimization 1

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1st International Conference on Electronics, Biomedical engineering, and Health Informatics, ICEBEHI 2020

作者： Fajriaty, Nuzula Dwi Rahma, Osmalina Nur Putri, Yang Sa’ada Kamila Ariyansah Putra, Alfian Pramudita Rahmatillah, Akif Ain, Khusnul Biomedical Engineering Study Program Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Biomedical Signals and Systems Research Group Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia

ISBN: (数字)9789813369269

ISBN: (纸本)9789813369252

This study designed an effective system for monitoring stress levels based on Electrodermal Activity (EDA) sensors by knowing the signal patterns and characteristics using convex optimization decomposition. The EDA sensor considered accurate and sensitive for identifying stress by analyzing the skin conductivity (SC) due to the changes in sympathetic nerve activity. However, the SC signal consists of phasic and tonic components, which needed to decompose to analyze stress levels. The SC signals also followed by the white Gaussian noise, which represents the error value. Hence, deconvolution is a crucial stage for the further process because the quality of the measurement depends on this result. This study aims to deconvolve the SC signal using the convex optimization method (cvxEDA). This model is physiology inspired by EDA based on Bayesian statistics, convex mathematical optimization, and sparsity. This research conducted with 18 subjects through three sessions of measurement. The given stimuli arise in each session to increase the level of stress. The results showed that this method could separate and identify SC. The Phasic component shows an increase in the stimulus of each session, as seen from the number of peaks. In contrast, there were no significant differences in the tonic component. This study shows that the phasic component is closely related to changes in sudomotor nerve activity (SMNA) and response to a stressor, which could be useful to classify stress levels in the future study. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convex optimization

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X-photon 3D lithography by fs-oscillators:wavelength-independent and photoinitiator-free

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Light(Advanced Manufacturing) 2024年第4期5卷 89-101页

作者： Dimitra Ladika Antanas Butkus Vasileia Melissinaki Edvinas Skliutas Elmina Kabouraki Saulius Juodkazis Maria Farsari Mangirdas Malinauskas Institute of Electronic Structure and Laser Foundation for Research and Technology-Hellas70013 HeraklionGreece Department of Materials Science and Technology University of Crete70013HeraklionCrete Laser Research Center Faculty of PhysicsVilnius UniversitySaulėtekio Ave.10LT-10223 VilniusLithuania Optical Sciences Centre and ARC Training Centre in Surface Engineering for Advanced Materials(SEAM) School of ScienceSwinburne University of TechnologyMelbourneAustralia WRH Program International Research Frontiers Initiative(IRFI)Tokyo Institute of Technology Nagatsuta-choMidori-kuYokohamaJapan

Laser direct writing employing multi-photon 3D polymerisation is a scientific and industrial tool used in various fields such as micro-optics,medicine,metamaterials,programmable materials,etc.,due to the fusion of highthroughput and fine features down to hundreds of *** limitations of technology applicability emerge from photo-resin properties,however any material modifications can strongly affect its printability,as photoexcitation conditions alter as *** we present wavelength-independent 3D polymerisation using low peak power laser *** pulse repetition rate and fast laser direct writing was employed for advancing additive manufacturing out of the SZ2080^(TM)photo-resist without any *** of 517 nm,780 nm,and 1035 nm are shown to be suitable for producing 300 nm polymerized features even at high-up to 10^(5)μm/s-writing *** of organic-inorganic ratio in hybrid material results in shift and decrease of the dynamic fabrication window,yet not prohibiting the *** energy deposition per focal volume is achieved due to localized heating enabling efficient 3D *** spatio-selective photo-chemical crosslinking widens optical manufacturing capacity of non-photo-sensitive materials.

关键词： 3D polymerisation Nonlinear absorption Multi-photon absorption Laser direct writing Additive manufacturing Material engineering Organic-inorganic polymers SZ2080^(TM) Photosensitizer

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Effect of Fe on the Photo/Piezocatalytic Activity of Bazr1-2xfe2xo3-Δ Ceramics

SSRN

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SSRN 2023年

作者： Fernandes, Daiane Hernandes, Paola Gay Moreira, Mario Lucio Raubach, Cristiane Wienke Gomes Jardim, Pedro Lovato Ferrer, Mateus Meneghetti Moreira, Eduardo Ceretta Mastelaro, Valmor Roberto Cava, Sergio da S. Post-Graduate Program in Materials Science and Engineering Federal University of Pelotas RS Pelotas96010-610 Brazil Post-Graduate Program in Physics Federal University of Pelotas RS Capão do Leão96160-000 Brazil Spectroscopy Laboratory Federal University of Pampa RS Bagé96413-172 Brazil Physics Institute São Paulo University SP São Carlos13560-970 Brazil

关键词： Temperature

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Understanding the effect of curvature on the magnetization reversal of three-dimensional nanohelices

arXiv

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arXiv 2023年

作者： Fullerton, John McCray, Arthur R.C. Petford-Long, Amanda K. Phatak, Charudatta Materials Science Division Argonne National Laboratory LemontIL United States Applied Physics Program Northwestern University EvanstonIL United States Department of Materials Science and Engineering Northwestern University EvanstonIL United States

Comprehending the interaction between geometry and magnetism in three-dimensional (3D) nanostructures is of importance to understand the fundamental physics of domain wall (DW) formation and pinning. Here, we use focused electron beam-induced deposition to fabricate magnetic nanohelices with increasing helical curvature with height. Using electron tomography and Lorentz transmission electron microscopy, we reconstruct the 3D structure and magnetization of the nanohelices. The surface curvature, helical curvature and torsion of the nanohelices are then quantified from the tomographic reconstructions. Furthermore, by using the experimental 3D reconstructions as inputs for micromagnetic simulations we can reveal the influence of surface and helical curvature on the magnetic reversal mechanism. Hence, we can directly correlate the magnetic behavior of a 3D nanohelix to its experimental structure. These results demonstrate how control of geometry in nanohelices can be utilized in the stabilization of DWs and control of the response of the nanostructure to applied magnetic fields. Copyright © 2023, The Authors. All rights reserved.

关键词： Magnetization reversal

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Influence of Treatment Time on the Synthesis of Copper Oxide Films by Cathode Cage Plasma Deposition

SSRN

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SSRN 2023年

作者： de Carvalho, Júlio F.S. Monção, Renan M. de Sousa, Ediones M. da Luz Lima, Cleânio Costa, Carla L.S.C. Garcia, Ramón R.P. Feitor, Michelle C. de Carvalho Costa, Thércio H. Libório, Maxwell S. de Sousa, Rômulo R.M. Federal University of Piauí Graduate Program in Materials Science and Engineering PI Teresina Brazil Federal University of Piauí Physics Postgraduate Program PI Teresina Brazil Federal university of Rio Grande do Norte Department of Materials Science and Engineering RN Natal Brazil Federal University of Rio Grande do Norte Department of Mechanical Engineering RN Natal Brazil Federal university of Rio Grande do Norte School of Science and Technology RN Natal Brazil

Copper oxide is a valuable p-type semiconductor for photovoltaic applications. In this work, plasma deposition with cathodic cage (CCPD) of copper oxide (CuO+Cu2O) films on glass was performed to evaluate the microstructural, morphological, chemical, and bandgap changes as a function of the treatment time variation (2, 3, 4, and 5 hours). The samples were analyzed by Scanning Electron Microscopy (SEM), Energy Dispersive System (EDS), X-ray Diffraction (XRD), and Raman Spectroscopy to identify morphologies, chemical composition, and crystalline phases of the deposited films, and the absorption spectrum optics was used to calculate the bandgap width. All films showed bandgap energies around 2.60 eV. However, the sample treated with a time of 3h presented a compact coating with 1.46 µm of thickness and bandgap energy equal to 2.57 eV, being the best result. © 2023, The Authors. All rights reserved.

关键词： Energy gap

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The path toward 500 um depletion of AstroPix, a pixelated silicon HVCMOS sensor for space and EIC

arXiv

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arXiv 2024年

作者： Steinhebel, Amanda L. Ott, Jennifer Kroger, Olivia Caputo, Regina Fadeyev, Vitaliy Affolder, Anthony Affolder, Kirsten Deshmukh, Aware Striebig, Nicolas Jadhav, Manoj Suda, Yusuke Fukazawa, Yasushi Metcalfe, Jessica Leys, Richard Peric, Ivan Shin, Taylor K.-W. Violette, Daniel NASA Postdoctoral Program Fellow United States NASA Goddard Space Flight Center GreenbeltMD United States University of California Santa Cruz Santa CruzCA United States Karlsruhe Institute of Technology Karlsruhe Germany Argonne National Laboratory LemontIL United States Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima739-8526 Japan

The precise reconstruction of Compton-scatter events is paramount for an imaging medium-energy gamma-ray telescope. The proposed AMEGO-X is enabled by a silicon tracker utilizing AstroPix chips - a pixelated silicon HVCMOS sensor novel for space use. To achieve science goals, each 500 × 500 µm2 pixel must be sensitive for energy deposits ranging from 25 - 700 keV with an energy resolution of 5 keV at 122 keV ( © 2024, CC BY.

关键词： Gamma rays

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Calibration of nuclear charge density distribution by back-propagation neural networks

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Physical Review C 2023年第3期108卷 034315-034315页

作者： Zu-Xing Yang (杨祖星) Xiao-Hua Fan (范小华) Tomoya Naito (内藤智也) Zhong-Ming Niu (牛中明) Zhi-Pan Li (李志攀) Haozhao Liang (梁豪兆) RIKEN Nishina Center Wako 351-0198 Japan School of Physical Science and Technology Southwest University Chongqing 400715 China RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program Wako 351-0198 Japan Department of Physics Graduate School of Science The University of Tokyo Tokyo 113-0033 Japan School of Physics and Optoelectronic Engineering Anhui University Hefei 230601 China

Based on the back-propagation neural networks and density functional theory, a supervised learning is performed firstly to generate the nuclear charge density distributions. The charge density is further calibrated to the experimental charge radii by a composite loss function. It is found that, when the parity, pairing, and shell effects are taken into account, about 96% of the nuclei in the validation set fall within 2 standard deviations of the predicted charge radii. Moreover, the kink in charge radii on Hg isotopes has been successfully reproduced. The calibrated charge density is then mapped to the matter density and further mapped to the binding energies according to the Hohenberg-Kohn theorem. It provides an improved description of some nuclei in both binding energies and charge radii. Moreover, the anomalous overbinding in Ca48 implies that the segmental calibrations by neural networks for beyond-mean-field effects deserve further discussion.

关键词： Binding energy & masses Nuclear charge radii Artificial neural networks Density functional theory Machine learning

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