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Investigating a method for macroscale energy extraction from random electrons movement 研究从随机电子运动中提取宏观能量的方法
IF 1.8 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-12-05 DOI: 10.1209/0295-5075/ad12a0
M. Peivandi, R. Kouhikamali
Abstract This paper aims to investigate a novel method for regularizing the random movements of electrons, in order to generate net movement and extract energy from the resulting electromotive force. The proposed method involves designing anisotropic conditions, focusing on exploring the effects of surface roughness on a metal wire in a two-dimensional space with the presence of a magnetic field. This paper presents a mathematical model for studying the proposed method. Furthermore, simulation results are analyzed and discussed in the context of the proposed method. By investigating the effects of surface roughness on electrons movement and voltage generation, this paper aims to contribute to the development of new methods for energy extraction from random electrons movement.
摘要 本文旨在研究一种规整电子随机运动的新方法,以产生净运动并从由此产生的电动势中提取能量。所提出的方法涉及设计各向异性条件,重点探索二维空间中存在磁场的金属丝表面粗糙度的影响。本文提出了研究拟议方法的数学模型。此外,还结合所提方法对模拟结果进行了分析和讨论。通过研究表面粗糙度对电子运动和电压产生的影响,本文旨在为开发从随机电子运动中提取能量的新方法做出贡献。
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引用次数: 0
Detection of Hofmeister effects at a single-molecule level 在单分子水平检测霍夫迈斯特效应
IF 1.8 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-12-04 DOI: 10.1209/0295-5075/ad121b
Guangzhou Qu, Ting Liang, Yuyu Feng, Jiaen Li, Zhouhui Deng, Hu Chen, Yanhui Liu
Abstract Metal cations are essential for the function of nucleic acids. Given their efficiency for DNA overwinding and the DNA hairpin folding/unfolding process coupled with DNA twist, we systematically investigated the effects of cation identities and increasing concentrations of NaCl, KCl, and LiCl from 50 mM to 300 mM on the folding/unfolding process by manipulating a DNA hairpin construct with magnetic tweezers. The critical forces and free energy of the unfolding transition of the DNA hairpin at a fixed concentration of KCl, NaCl, and LiCl followed the same ranking as , and are reversed with the unfolding rate ranking of {}text{Na}^{+}>{}text{Li}^{+}$ ?> . This highlights that the addition of Li+ in solution obviously enhances the stability of the DNA hairpin when compared to Na+, and K+, and their efficiency on the stability of the DNA hairpin was ranked as .
摘要 金属阳离子对核酸的功能至关重要。鉴于金属阳离子对DNA过卷和DNA发夹折叠/解折过程以及DNA扭曲的效率,我们用磁力镊子操纵DNA发夹构建体,系统地研究了阳离子的特性以及NaCl、KCl和LiCl浓度从50 mM到300 mM的增加对折叠/解折过程的影响。在KCl、NaCl和LiCl的固定浓度下,DNA发夹解折转变的临界力和自由能的排序与{}text{Na}^{+}>{}text/{Li}^{+}$ ?>相同,并与解折速率的排序相反。这表明,与 Na+ 和 K+ 相比,溶液中加入 Li+ 能明显提高 DNA 发夹的稳定性,它们对 DNA 发夹稳定性的影响依次为 .
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引用次数: 0
Comment on “Harmonic oscillator problem in the background of a topologically charged Ellis-Bronnikov–type wormhole” by Ahmed Faizuddin 就 Ahmed Faizuddin 的 "带拓扑电荷的埃利斯-布朗尼科夫型虫洞背景下的谐振子问题 "发表评论
IF 1.8 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-12-04 DOI: 10.1209/0295-5075/ad121a
Francisco M. Fernández
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引用次数: 0
Biosensor based on multiple metal layer-hole array 基于多金属层孔阵列的生物传感器
IF 1.8 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-12-02 DOI: 10.1209/0295-5075/ad11b5
Jindan Duan, Gang Song, Gaoyan Duan, Peilin Lang
Abstract We propose a biosensor which is sensitive to the refraction index (RI) of the tested liquid. The sensor is composed of a metal-insulator-metal structure based on periodic nanopore arrays, whose absorption spectrum exhibits a narrow peak at the resonant wavelength. The finite difference time domain method is used to simulate the proposed structure. The results show that there is a narrow resonant peak at the wavelength of 800 nm with RI of 1.33. By adding grooves on the lower metal layer, the maximum absorption rate increases to 99.7%. When RI varies in the range from 1.33 to 1.35, it can have a high sensitivity of 550 nm /RIU, a narrow half peak full width of 5.87 nm, and a figure of merit of 93.7. In addition, the absorption peak value also changes significantly with a sensitivity of 1845%/RIU, which can be used to measure the concentration of bovine serum albumin and other solutions to achieve biosensors.
摘要 我们提出了一种对被测液体折射率(RI)敏感的生物传感器。该传感器由基于周期性纳米孔阵列的金属-绝缘体-金属结构组成,其吸收光谱在谐振波长处呈现窄峰。有限差分时域法用于模拟所提出的结构。结果表明,在 800 纳米波长处有一个窄的共振峰,RI 为 1.33。通过在下金属层上添加凹槽,最大吸收率增至 99.7%。当 RI 在 1.33 至 1.35 范围内变化时,其灵敏度可达 550 nm /RIU,窄半峰全宽为 5.87 nm,优点系数为 93.7。此外,吸收峰值的变化也很明显,灵敏度为 1845%/RIU,可用于测量牛血清白蛋白和其他溶液的浓度,实现生物传感器。
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引用次数: 0
Multifractality and statistical localization in highly heterogeneous random networks 高度异构随机网络中的多分形和统计定位
IF 1.8 4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-11-27 DOI: 10.1209/0295-5075/ad1001
Diego Tapias, Peter Sollich
Abstract We consider highly heterogeneous random networks with symmetric interactions in the limit of high connectivity. A key feature of this system is that the spectral density of the corresponding ensemble exhibits a divergence within the bulk. We study the structure of the eigenvectors associated with this divergence and find that they are multifractal with the statistics of eigenvector elements matching those of the resolvent entries. The corresponding localization mechanism relies on the statistical properties of the nodes rather than on any spatial structure around a localization centre. This “statistical localization” mechanism is potentially relevant for explaining localization in different models that display singularities in the bulk of the spectrum of eigenvalues.
摘要 我们考虑了在高连通性极限下具有对称相互作用的高度异构随机网络。该系统的一个主要特征是,相应集合的谱密度在主体内呈现发散。我们研究了与这种发散相关的特征向量结构,发现它们是多分形的,特征向量元素的统计量与解析项的统计量相匹配。相应的定位机制依赖于节点的统计特性,而不是定位中心周围的任何空间结构。这种 "统计定位 "机制可能与解释不同模型中的定位相关,这些模型在特征值谱的大部分显示奇异性。
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引用次数: 0
Novel perturbation mechanism underlying the network fragility evolution 网络脆弱性演化的新扰动机制
4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-11-14 DOI: 10.1209/0295-5075/ad0c6e
Songan Hou, Denggui Fan, Qingyun Wang
Abstract Studies have shown that fragility is an effective marker for seizures and seizure onset zone (SOZ). Through analysis and simulation of a probabilistic neural network under different inputs, the regularization mechanism of external input perturbations on the fragility is explored. It is theoretically found that the fragility of a perturbed node within seizure network is inversely associated with the received perturbation input, while the fragility of the other unperturbed nodes always oppositely changes with this perturbed node. By terming the node with high fragility as the fragile node (FN), it is interestingly shown that the FN would evolve to the node with the smallest input. Then, the network fragility is further investigated. Results show that the non-uniform perturbation inputs can more easily impact the network fragility. In addition, noise-induced variations of network connection can degrade the network fragility to some extent. Finally, the real data from patient with epilepsy has verified the universality of the above obtained findings. These results may provide possible insights into stimulation strategies for seizure control in clinic.
研究表明,脆性是癫痫发作和癫痫发作区(SOZ)的有效标志。通过对不同输入条件下的概率神经网络进行分析和仿真,探讨了外部输入扰动对易损性的正则化机制。从理论上发现,癫痫发作网络中受扰节点的脆性与接收到的扰动输入呈负相关,而其他未受扰节点的脆性总是与该受扰节点相反变化。通过将脆弱度高的节点称为脆弱节点(FN),有趣的是FN会向输入最小的节点进化。然后,进一步研究了网络脆弱性。结果表明,非均匀扰动输入更容易影响网络的脆弱性。此外,噪声引起的网络连接变化会在一定程度上降低网络的脆弱性。最后,通过癫痫患者的真实数据验证了上述发现的普遍性。这些结果可能为临床控制癫痫发作的刺激策略提供可能的见解。
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引用次数: 0
Characterizing exceptional points using neural networks 用神经网络表征异常点
4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-11-14 DOI: 10.1209/0295-5075/ad0c6f
Md Afsar Reja, Awadhesh Narayan
Abstract One of the key features of non-Hermitian systems is the occurrence of exceptional points (EPs), spectral degeneracies where the eigenvalues and eigenvectors merge. In this work, we propose applying neural networks to characterize EPs by introducing a new feature -- summed phase rigidity (SPR). We consider different models with varying degrees of complexity to illustrate our approach, and show how to predict EPs for two-site and four-site gain and loss models. Further, we demonstrate an accurate EP prediction in the paradigmatic Hatano-Nelson model for a variable number of sites. Remarkably, we show how SPR enables a prediction of EPs of orders completely unseen by the training data. Our method can be useful to characterize EPs in an automated manner using machine learning approaches.
摘要非厄米系统的一个重要特征是在特征值和特征向量合并处存在异常点(EPs),即谱简并。在这项工作中,我们建议应用神经网络通过引入一个新的特征-总相刚度(SPR)来表征EPs。我们考虑了不同复杂程度的不同模型来说明我们的方法,并展示了如何预测两位点和四位点损益模型的EPs。此外,我们证明了典型的Hatano-Nelson模型对可变站点数量的EP预测是准确的。值得注意的是,我们展示了SPR如何能够预测训练数据完全看不到的订单EPs。我们的方法可以用于使用机器学习方法以自动化的方式表征EPs。
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引用次数: 1
Building a “trap model” of glassy dynamics from a local structural predictor of rearrangements 从重排的局部结构预测器建立玻璃动力学的“陷阱模型”
4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-11-14 DOI: 10.1209/0295-5075/ad0c70
Sean Alexander Ridout, Indrajit Tah, Andrea J. Liu
Abstract Here we introduce a variation of the trap model of glasses based on softness, a local structural variable identified by machine learning, in supercooled liquids. Softness is a particle- based quantity that reflects the local structural environment of a particle and characterizes the energy barrier for the particle to rearrange. As in the trap model, we treat each particle’s softness, and hence energy barrier, as evolving independently. We show that such a model reproduces many qualitative features of softness, and therefore makes qualitatively reasonable predictions of behaviors such as the dependence of fragility on density in a model supercooled liquid. We also show failures of this simple model, indicating features of the dynamics of softness that may only be explained by correlations.
本文介绍了一种基于机器学习识别的局部结构变量软度的玻璃陷阱模型的变体。柔软度是一个基于粒子的量,它反映了粒子的局部结构环境,并表征了粒子重新排列的能量屏障。与陷阱模型一样,我们将每个粒子的柔软度,以及能量势垒视为独立演化的。我们表明,这样的模型再现了柔软的许多定性特征,因此对模型过冷液体中脆性对密度的依赖等行为做出了定性合理的预测。我们还展示了这个简单模型的失败,表明了可能只能通过相关性来解释的柔软动态特征。
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引用次数: 1
Potential photocell based on cobalt sulfide quantum dots and nano-graphene oxide for energy applications 基于硫化钴量子点和纳米氧化石墨烯的潜在光电池的能源应用
4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-11-14 DOI: 10.1209/0295-5075/ad0c71
Micheli de Souza Bernardes, Rafael Parada Savino, Renata Tamires Santos, Carlos Mateus Soares Silva, Carla Jeany Teixeira Silva, Jhonatan do Amparo Madureira, Fernanda Guerra Lima Medeiros Borsagli
Abstract Nowadays, the search to develop sustainable materials using materials from renewable sources is a great challenge. In this context, the present research evaluated producing new photocell system using ITO (In2O3/SnO2), nano-graphene oxide and cobalt sulphide quantum dots (CoS QD) for potential energy areas. Spectroscopies analysis (FTIR, Raman, UV Vis), X-ray diffraction, and morphological (SEM, TEM, BET) were used to characterize this system. The results showed that the CoS presented the size of 3 nm with a good electrical potential for application in energy areas, demonstrating a low-cost and environmentally friendly chemical route. In addition, the chemical groups stabilized the CoS QD was the carboxylates. Moreover, the photocell system was conducted well. Furthermore, the photocell production provided a potential application of these materials to renewable energy sources.&#xD;
如今,如何利用可再生资源开发可持续材料是一个巨大的挑战。在此背景下,本研究评估了利用ITO (In2O3/SnO2)、纳米氧化石墨烯和硫化钴量子点(CoS QD)作为势能区域生产新的光电池系统。利用光谱分析(FTIR, Raman, UV - Vis), x射线衍射和形貌分析(SEM, TEM, BET)对该体系进行表征。结果表明,该co的尺寸为3 nm,具有良好的电势,可用于能源领域,展示了低成本和环境友好的化学路线。此外,稳定CoS QD的化学基团是羧酸酯。此外,光电池系统性能良好。此外,光电池的生产为这些材料在可再生能源中的潜在应用提供了机会。
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引用次数: 0
Zeeman dependence of the quasiparticle scattering rate and ARPES in copper oxides and related materials 铜氧化物及相关材料中准粒子散射速率和ARPES的Zeeman依赖性
4区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY
EPL
Pub Date : 2023-11-10 DOI: 10.1209/0295-5075/ad0bc6
George Kastrinakis
Abstract Within a strongly interacting Fermi liquid framework, we calculate&#xD;the effects of the Zeeman energy $omega_H$ for a finite magnetic field,&#xD;in a metallic system with a van Hove peak in the density of states,&#xD;located close to and below the Fermi surface. We find that the chemical&#xD;potential increases with the square of $omega_H$. We obtain a characteristic&#xD;quasiparticle scattering rate linear in the maximum of $omega_H$ and &#xD;temperature, both in the normal and&#xD;the d-wave superconducting state. We predict that ARPES experiments in copper&#xD;oxides, and related compounds, should&#xD;be able to elucidate this behavior of the scattering rate, and in particular,&#xD;the difference between spin up and down electrons.
摘要:在一个强相互作用的费米液体框架内,我们计算了塞曼能量$omega_H$对有限磁场的影响, 在一个状态密度有van Hove峰的金属体系中, 位于费米表面附近和下方。我们发现化学势随着$omega_H$的平方而增加。我们得到了在正常和d波超导状态下,准粒子散射率在最大温度和最大温度下呈线性的特性。我们预测,在铜氧化物和相关化合物中的ARPES实验,应该能够阐明散射率的这种行为,特别是,自旋上下电子之间的差异。
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引用次数: 0
期刊
EPL
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