Physics Open最新文献

{"title":"Digital advancements in smart materials design and multifunctional coating manufacturing","authors":"Jaya Verma ,&nbsp;A.S. Khanna","doi":"10.1016/j.physo.2022.100133","DOIUrl":"10.1016/j.physo.2022.100133","url":null,"abstract":"<div><p>This article reviewed the present state of advanced digital technologies such as Artificial Intelligence (AI) and Machine Learning (ML) for the development of smart materials design, multifunctional coatings, and their benefits. Currently, AI and ML implementations provide accelerated product development times, faster R&amp;D feedback loops between planning, evaluation, and iteration, and greater overall control over the design ability of new components, materials, &amp; products. Artificial intelligence and machine learning are helping people to do work better &amp; faster, reduce repetitive non value added tasks, and free up time for higher-value tasks with performance forecasts. Exploring the application of AI and ML in the coating industry, this article reviews the advantages and scientific challenges of these technologies. Methodology for modeling, analysis, and properties prediction techniques are tangibly discussed in this review article for the development of smart coating materials. After a brief revision of the materials development through AI-ML, optimization procedures of various coating properties such as tribological, mechanical, corrosion protection, etc. are discussed using AI-ML techniques. Further AI-ML algorithm/model program and benefits of these techniques for marine coatings are also reviewed in this article. Finally, the AI-ML approach for the growth of global coating market is elaborated and future directions are highlighted.</p></div>","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"14 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49610310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis, structure, hyperthermia behavior and magnetic properties of Mn–Zn particles prepared by a new method of ball-milling and heating","authors":"M. Mirbagheri ,&nbsp;O. Mirzaee ,&nbsp;M. Tajally ,&nbsp;H. Shokrollahi","doi":"10.1016/j.physo.2023.100139","DOIUrl":"10.1016/j.physo.2023.100139","url":null,"abstract":"<div><p>This paper has focused upon the synthesis, structure, hyperthermia and magnetic properties of the Mn–Zn particles prepared by a new combined ball milling and heating process. Normally, it is required that the partial pressure in the final sintering be controlled by the Mn–Zn ferrite preparation, yet in the current method the ferrite has been obtained with a nearly high purity. The nanocrystalline Mn_1-xZn_xFe₂O₄ (x = 0.25, 0.5 and 0.75) powders were characterized using the X-ray diffractometer (XRD), field emission scanning electron microscope (FESEM), transmission electron microscope (TEM), Raman spectrometer (RS), Fourier-transform infrared spectrometer (FTIR), vibrating sample magnetometer (VSM) and specific absorption rate (SAR). The FTIR and Raman data confirmed the result of the XRD data and the presence of spinel structure. The zinc content affected the band lengths, cation distributions and particle sizes. The structural results revealed that as the Zn concentration increases, the particle size decreases and the other cations tend to go to the octahedral sites. The results demonstrated that the highest level of SAR corresponds to the efficient and non-toxic Mn_0.75Zn_0.25Fe₂O₄ due to the suitable particle size and noticeable saturation magnetization.</p></div>","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"14 ","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43648038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis of Sr-doped Ni0.5Zn0.5SrxFe2-xO4 and the study of its structural, mechanical, magnetic, and electrical properties for high-frequency applications","authors":"Shazzad Hossain ,&nbsp;Md Emran Hossain ,&nbsp;Shariful Islam ,&nbsp;Md Rasel Rana ,&nbsp;M.N.I. Khan ,&nbsp;G.G. Biswas ,&nbsp;Md Ashraf Ali ,&nbsp;K. Hoque","doi":"10.1016/j.physo.2023.100172","DOIUrl":"https://doi.org/10.1016/j.physo.2023.100172","url":null,"abstract":"","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"17 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49753381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Kobayashi benchmark with indigenous Monte Carlo neutron transport code PATMOC","authors":"Amod Kishore Mallick ,&nbsp;Umasankari Kannan","doi":"10.1016/j.physo.2023.100179","DOIUrl":"https://doi.org/10.1016/j.physo.2023.100179","url":null,"abstract":"","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"17 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49767508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Doped superior garnet electrolyte toward all-solid-state Li metal batteries","authors":"George Xing ,&nbsp;Haoyu Zhu ,&nbsp;Anna Zhuang ,&nbsp;Fei Meng ,&nbsp;Raymond Jiang ,&nbsp;Shuguang Chen ,&nbsp;Guanhua Chen ,&nbsp;Yongchun Tang","doi":"10.1016/j.physo.2022.100119","DOIUrl":"https://doi.org/10.1016/j.physo.2022.100119","url":null,"abstract":"<div><p>Li₇La₃Zr₂O₁₂ (LLZO) garnets are one of the most promising solid electrolytes for next generation all-solid-state Li metal batteries due to their high ionic conductivities, chemical stabilities to metallic lithium and wide electrochemical window. Single and co-doped LLZO with Ga, Al, Nb were prepared by solid state reaction and sintered under oxygen atmosphere. Lithium ion conduction properties were investigated through electrochemical impedance spectroscopy in the temperature range of −25 °C–45 °C. Among the doped compositions, Ga doped single phase cubic LLZO shows the highest ionic conductivity of 1.49 × 10⁻³ S/cm at room temperature and activation energy of 0.27eV, which is one of the best results reported in literature so far in terms of doped garnet structured LLZO. All single or co-doped LLZO samples exhibit low electronic conduction which are 4–5 orders of magnitude lower than their corresponding ionic conductivities. Ga-doped garnet LLZO of high ionic conductivity and negligible electronic conduction makes it a superior solid electrolyte for all-solid-state Li metal batteries.</p></div>","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"13 ","pages":"Article 100119"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666032622000199/pdfft?md5=14950fd67723901e9566962616a7cf5a&pid=1-s2.0-S2666032622000199-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137328012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optical microfiber loop resonator for gas pressure sensing","authors":"Seyyed Hossein Kazemi,&nbsp;Sahar Taghizadeh Moghaddam","doi":"10.1016/j.physo.2022.100118","DOIUrl":"https://doi.org/10.1016/j.physo.2022.100118","url":null,"abstract":"<div><p>Based on theoretical modeling of optical microfiber loop resonator (MLR) and Hauf-Grigull relation, we have combined the ability of MLR in the sensing of ambient refractive index to the linear dependence of the refractive index of gases to the pressure and introduced the MLR structure for gas pressure sensing. The simulation results show the reduction in the microfiber radius increases the sensitivity of the sensor. Also, due to the significant difference between the sensitivities of some gases such as O₂ and CO₂, we have proposed this sensor to detect the type of such gases.</p></div>","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"13 ","pages":"Article 100118"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666032622000187/pdfft?md5=e562c113746e1847fd2662401a641d48&pid=1-s2.0-S2666032622000187-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"137328013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spiral- and scroll-wave dynamics in mathematical models for canine and human ventricular tissue with varying Potassium and Calcium currents","authors":"K.V. Rajany ,&nbsp;Alok Ranjan Nayak ,&nbsp;Rupamanjari Majumder ,&nbsp;Rahul Pandit","doi":"10.1016/j.physo.2022.100120","DOIUrl":"10.1016/j.physo.2022.100120","url":null,"abstract":"<div><p>We conduct a systematic, direct-numerical-simulation (DNS) study, in mathematical models for ventricular tissue, of the dependence of spiral- and scroll-wave dynamics on <span><math><msub><mrow><mi>G</mi></mrow><mrow><mi>K</mi><mi>r</mi></mrow></msub></math></span>, the maximal conductance of the delayed rectifier Potassium current (<span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>K</mi><mi>r</mi></mrow></msub></math></span>) channel, and the parameter <span><math><msub><mrow><mi>γ</mi></mrow><mrow><mi>C</mi><mi>a</mi><mi>o</mi></mrow></msub></math></span>, which determines the magnitude and shape of the current <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>C</mi><mi>a</mi><mi>L</mi></mrow></msub></math></span> for the L-type calcium-current channel, in both square and anatomically realistic, whole-ventricle simulation domains. We study canine and human models. In the former, we use a canine-ventricular geometry, with fiber-orientation details, obtained from diffusion-tensor-magnetic-resonance-imaging (DTMRI) data; and we employ the physiologically realistic Hund-Rudy-Dynamic (HRD) model for a canine ventricular myocyte. To focus on the dependence of spiral- and scroll-wave dynamics on <span><math><msub><mrow><mi>G</mi></mrow><mrow><mi>K</mi><mi>r</mi></mrow></msub></math></span> and <span><math><msub><mrow><mi>γ</mi></mrow><mrow><mi>C</mi><mi>a</mi><mi>o</mi></mrow></msub></math></span>, we restrict ourselves to an HRD-model parameter regime, which does not produce spiral- and scroll-wave instabilities because of other, well-studied causes like a very sharp action-potential-duration-restitution (APDR) curve or early after depolarizations (EADs) at the single-cell level. We find that spiral- or scroll-wave dynamics are affected predominantly by a simultaneous change in <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>C</mi><mi>a</mi><mi>L</mi></mrow></msub></math></span> and <span><math><msub><mrow><mi>I</mi></mrow><mrow><mi>K</mi><mi>r</mi></mrow></msub></math></span> from their original values in the model, rather than by a change in any one of these currents; other currents do not have such a large effect on these wave dynamics in this parameter regime of the HRD model. In particular, we examine spiral-wave dynamics for ten different values of <span><math><msub><mrow><mi>G</mi></mrow><mrow><mi>K</mi><mi>r</mi></mrow></msub></math></span> and ten different values of <span><math><msub><mrow><mi>γ</mi></mrow><mrow><mi>C</mi><mi>a</mi><mi>o</mi></mrow></msub></math></span> in our 2D DNSs. For our 3D DNSs in an anatomically realistic domain, we chose 16 parameter sets. In the parameter regime we begin with, the system displays broken spiral or scroll states with S1–S2 initial conditions (see below). We show that, by simultaneously increasing <span><math><msub><mrow><mi>G</mi></mrow><mrow><mi>K</mi><mi>r</mi></mrow></msub></math></span> and reducing <span><math><msub><mrow><mi>γ</mi></mrow><mrow><mi>C</mi><mi>a</mi><mi>o</mi></mrow>","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"13 ","pages":"Article 100120"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666032622000205/pdfft?md5=a28d5387c9558d83607f49cae9da304b&pid=1-s2.0-S2666032622000205-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44539818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Resonant neuronal groups","authors":"Mario Antoine Aoun","doi":"10.1016/j.physo.2022.100104","DOIUrl":"10.1016/j.physo.2022.100104","url":null,"abstract":"<div><p>We create a Spiking Neural Network (SNN) architecture based on transforming the dynamics – Unstable Periodic Orbits (UPOs) – of a chaotic spiking neuron model to Neuronal Groups composed from Resonant Neurons. An input fed to the SNN will activate one of its neuronal groups. An activated neuronal group represents <em>‘memory’</em> or a neural state of the SNN. By exploiting a fundamental principle in chaos theory, which is Chaotic Sensitivity upon Initial Conditions, in conjunction with chaos control, we show that similar inputs, when fed separately to the SNN, will always activate the same neuronal group and different inputs will activate different neuronal groups. In addition, we show that differences between the system responses (i.e. neuronal groups) are proportional to differences between inputs. These features make the system suitable for input discrimination; we give an example of discerning human physical actions. More importantly, we study the capacity of the SNN. We show that the number of neuronal groups that can be reached is extremely large; it grows exponentially with the increase of the network size (i.e. number of neurons). This is due to neurons mixing, which allows the same resonant neuron to belong to other neuronal groups and due to the theoretically infinite number of UPOs available in a chaotic system that can be stabilized through chaos control. Also, our work competes with Izhikevich's <em>polychronous groups</em>, so we compare our results to his. We discuss the relevance of the work in the nonlinear sciences and its relation to chaotic neuro-dynamics, cognitive science, neural computation, machine learning and memory modeling including future considerations and open problems.</p></div>","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"13 ","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666032622000060/pdfft?md5=7f575206a2f735d8405ff067d28e9919&pid=1-s2.0-S2666032622000060-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44757369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Non-Hermitian Hamiltonian beyond PT symmetry for time-dependent SU(1,1) and SU(2) systems — Exact solution and geometric phase in pseudo-invariant theory","authors":"Nadjat Amaouche ,&nbsp;Maroua Sekhri ,&nbsp;Rahma Zerimeche ,&nbsp;Mustapha Maamache ,&nbsp;J.-Q. Liang","doi":"10.1016/j.physo.2022.100126","DOIUrl":"10.1016/j.physo.2022.100126","url":null,"abstract":"<div><p>In this paper we investigate time-dependent non-Hermitian Hamiltonians, which consist of <span><math><mrow><mi>S</mi><mi>U</mi><mrow><mo>(</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span> and <span><math><mrow><mi>S</mi><mi>U</mi><mrow><mo>(</mo><mn>2</mn><mo>)</mo></mrow></mrow></math></span> generators. The former Hamiltonian is PT symmetric but the latter one is not. A time-dependent non-unitary operator is proposed to construct the non-Hermitian invariant, which is verified as pseudo-Hermitian with real eigenvalues. The exact solutions are obtained in terms of the eigenstates of the pseudo-Hermitian invariant operator for both the <span><math><mrow><mi>S</mi><mi>U</mi><mrow><mo>(</mo><mn>1</mn><mo>,</mo><mn>1</mn><mo>)</mo></mrow></mrow></math></span> and <span><math><mrow><mi>S</mi><mi>U</mi><mrow><mo>(</mo><mn>2</mn><mo>)</mo></mrow></mrow></math></span> systems in a unified manner. Then, we derive the Lewis–Riesenfeld (LR) phase, which can be separated into the dynamic and the geometrical phases. The analytical results are well consistent with those of the corresponding Hermitian Hamiltonians reported in the literature.</p></div>","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"13 ","pages":"Article 100126"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666032622000278/pdfft?md5=ec55307fa586d4c0e492a3c347a8a14b&pid=1-s2.0-S2666032622000278-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47007969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retraction notice to “Quantum enhancement of the optical behavior for V–type open atomic system” [Phys. Open 9 (2021) 100076]","authors":"Sitotaw Eshete","doi":"10.1016/j.physo.2022.100123","DOIUrl":"10.1016/j.physo.2022.100123","url":null,"abstract":"","PeriodicalId":36067,"journal":{"name":"Physics Open","volume":"13 ","pages":"Article 100123"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666032622000242/pdfft?md5=2a9f497ee2f7438113c3341f28b60ee4&pid=1-s2.0-S2666032622000242-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45712887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}