Article
Nanoscience & Nanotechnology
K. Schnieders, C. Funck, F. Cueppers, S. Aussen, T. Kempen, A. Sarantopoulos, R. Dittmann, S. Menzel, V Rana, S. Hoffmann-Eifert, S. Wiefels
Summary: In this study, we confirm the previous density functional theory simulations through experimental verification and demonstrate how the conduction mechanism affects the variability. Our analysis shows that oxides with shallow defect states exhibit high signal-to-noise ratio (SNR), while oxides with deep defect states exhibit pronounced ionic noise. These results provide valuable input for tuning read noise characteristics through material design.
Article
Mathematics, Interdisciplinary Applications
Jung-Kyu Lee, Sungjun Kim
Summary: We investigated the LFN characteristics of filamentary and interfacial RRAM devices and proposed guidelines for noise sources based on resistance states and switching mechanisms. In filamentary devices, localized oxygen vacancies were identified as the dominant noise source in the low resistance state, while the noise in the high resistance state represented a bulk effect. In interfacial devices, noise characteristics in both resistance states represented the bulk effect. Furthermore, LFN measurements confirmed changes in the conductive filament structure during multilevel cell operation.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Astronomy & Astrophysics
Leonardo Badurina, Diego Blas, Christopher McCabe
Summary: This study analyzes and corrects the ULDM signal in vertical atom gradiometers searching for linearly-coupled scalar dark matter. It provides sensitivity estimates for a compact 10 m gradiometer and discusses optimal experimental parameters to enhance the search range. The results show that these devices can explore regions of dark matter parameter space that are not yet constrained.
Article
Nanoscience & Nanotechnology
Jungang Heo, Youngboo Cho, Hyeonseung Ji, Min-Hwi Kim, Jong-Ho Lee, Jung-Kyu Lee, Sungjun Kim
Summary: In this study, we compare the resistive switching characteristics of Ti/ZrOX/TiN and Ti/ZrOX/HfAlOX/TiN devices. The bilayer structure of the ZrOX-based device leads to reduced power consumption and higher on/off ratio. The transport mechanism of the Ti/ZrOX/HfAlOX/TiN device is clarified using 1/f noise measurement technique. Additionally, the suitability of the Ti/ZrOX/HfOX/TiN device as a neuromorphic device is assessed through simulation testing.
Article
Engineering, Electrical & Electronic
Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Injune Yeo, Shimeng Yu, Deliang Fan, Jae-Sun Seo
Summary: This paper presents a new deep neural network (DNN) training scheme and resistive RAM (RRAM) in-memory computing (IMC) hardware evaluation to improve accuracy against RRAM device/array variations and enhance robustness against adversarial input attacks. The proposed hardware noise-aware DNN training consistently improves DNN inference accuracy for actual IMC hardware and increases robustness to adversarial input attacks.
SEMICONDUCTOR SCIENCE AND TECHNOLOGY
(2022)
Article
Physics, Fluids & Plasmas
Jia-Zeng Wang, Yan-Hua Fan
Summary: This paper presents the properties of voltage fluctuations driven by a cluster of ligand-gated channels. The power spectrum of the voltage noise is proven to have a 1/d form, with the mechanism being that the randomness of the voltage fluctuation is weaker than channel noise.
Article
Engineering, Electrical & Electronic
Tiancheng Gong, Danian Dong, Qing Luo, Xiaoxin Xu, Jianguo Yang, Jie Yu, Qingting Ding, Hangbing Lv, Ming Liu
Summary: It was found in this study that resistance fluctuation in RRAM devices has a positive correlation with resistance states and reading time. It is recommended to use a reading voltage below 0.3V to avoid resistance degradation. An analytical formula to predict resistance spread as a function of time, resistance, and read voltage was derived based on quantitative analysis.
IEEE ELECTRON DEVICE LETTERS
(2021)
Article
Mechanics
J. Dominique, J. Van den Berghe, C. Schram, M. A. Mendez
Summary: This paper analyzes and compares various empirical models of wall pressure spectra beneath turbulent boundary layers and proposes an alternative machine learning approach using Artificial Neural Networks (ANNs). The results show that the ANN outperforms traditional models in adverse pressure gradients and its predictive capabilities generalize better over the range of investigated conditions. The analysis also explores uncertainties and sensitivities in the model prediction, which can help identify areas where new training data would be most beneficial.
Article
Computer Science, Information Systems
Stefan Pechmann, Timo Mai, Matthias Voelkel, Mamathamba K. Mahadevaiah, Eduardo Perez, Emilio Perez-Bosch Quesada, Marc Reichenbach, Christian Wenger, Amelie Hagelauer
Summary: An integrated read and programming circuit for RRAM cells with versatility in adapting to different cell properties was presented. The circuit is suitable for read and programming operations based on voltage pulses, and can distinguish up to eight different states, achieving digitization of analog memory values. The functionality of the circuit and system was proven through measurement results, with the ability to distinguish up to eight different states and an overall resistance ratio of 7.9.
Article
Multidisciplinary Sciences
Aurelien Grabsch, Alexis Poncet, Pierre Rizkallah, Pierre Illien, Olivier Benichou
Summary: Single-file transport is a fundamental model for tracer subdiffusion observed in narrow channels. Despite previous difficulties in solving the equations involved, we have successfully broken the hierarchy and obtained a closed exact equation for the bath-tracer correlations in the symmetric exclusion process. Furthermore, this equation has been proven to be a useful tool for interacting particle systems, demonstrated by its application to out-of-equilibrium situations, other observables, and other representative single-file systems.
Article
Materials Science, Multidisciplinary
Bogdan R. Bulka
Summary: Exact analytical formulas for currents and current correlation functions in a Cooper pair splitter system are derived using Keldysh Green functions, with a focus on noise power spectrum behavior across bias voltage range. In the large voltage limit, shot noise dominates with spectrum exhibiting extraordinary side dips related to resonant interlevel current correlations. The study also shows perfect entanglement of split electrons in two separated crossed Andreev reflection processes.
Article
Mathematics, Applied
C. S. Barquist, W. G. Jiang, K. Gunther, Y. Lee
Summary: In this study, analytical calculations were performed on the response of a driven Duffing oscillator to low-frequency fluctuations in resonance frequency and damping, revealing distinctive features that allow for their differentiation. The results indicate strong attenuation of amplitude and phase noise due to resonance frequency fluctuations and amplitude noise due to damping fluctuations in the strongly nonlinear regime, while the transduction of damping fluctuations into phase noise remains significant. This suggests a method for determining the source of low-frequency noise in a driven Duffing oscillator.
PHYSICA D-NONLINEAR PHENOMENA
(2021)
Article
Physics, Fluids & Plasmas
Euan Joly-Smith, Zitong Jerry Wang, Andreas Hilfinger
Summary: Inferring functional relationships within complex networks from static snapshots of a subset of variables is a common problem in science. Researchers demonstrated a method using static population snapshots to infer properties of gene expression dynamics, and validated the theory through experiments with gene expression reporters. The study also derived correlation conditions for detecting closed-loop feedback regulation in gene regulatory networks.
Article
Optics
Kirill A. Kazakov
Summary: Quantum indeterminacy sets a lower bound on the power spectrum of voltage fluctuations, with a low-frequency asymptotic similar to 1/f and a modified behavior of 1/f^gamma due to charge-carrier-phonon interaction. The voltage variance grows with time as t(gamma-1), and the power spectrum remains well defined and finite for gamma < 2.
Article
Multidisciplinary Sciences
Yusuke Imai, Kohei Nakajima, Sumito Tsunegi, Tomohiro Taniguchi
Summary: This paper investigates the input-driven magnetization dynamics in nanomagnets related to brain-inspired computing in spintronics. Through numerical simulation, it is found that input-driven synchronization occurs in the weak perturbation limit. Additionally, chaotic behavior is observed in the vortex core dynamics for a wide range of parameters.
SCIENTIFIC REPORTS
(2022)
