20 papers · ranked by Valyu relevance
Baichuan Li, Qiaozhen Zhang, Xiangyong Zhao, Shaotao Zhi + 4 more
'Sulei Fu' 'Weibiao Wang' 'Guo Liu'] This article presents a general-purpose model that enables efficient and accurate calculation of third-order nonlinear signals in surface acoustic wave (SAW) devices. This model is based on piezoelectric constitutive equations combined with perturbation theory, which can be analyzed…
Omar Rodríguez-Abreo, Juvenal Rodríguez-Reséndiz, L. A. Montoya-Santiyanes, José Manuel Álvarez-Alvarado + 1 more
Machinery condition monitoring and failure analysis is an engineering problem to pay attention to among all those being studied. Excessive vibration in a rotating system can damage the system and cannot be ignored. One option to prevent vibrations in a system is through preparation for them with a model. The accuracy…
Jetze Zoethout
Computability relative to a partial function f on the natural numbers can be formalized using the notion of an oracle for this function f. This can be generalized to arbitrary partial combinatory algebras, yielding a notion of 'adjoining a partial function to a partial combinatory algebra A'. A similar construction is…
See-On Park, Hakcheon Jeong, Seokho Seo, Youna Kwon + 2 more
'Shinhyun Choi'] The sensory nervous system in animals enables the perception of external stimuli. Developing an artificial sensory nervous system has been widely conducted to realize neuro-inspired robots capable of effectively responding to external stimuli. However, it remains challenging to develop artificial…
Rongzong Huang, Jiayi Huang, Qing Li
The lattice Boltzmann (LB) equation with a third-order scheme can be regarded as a unified and self-consistent framework of the pseudopotential LB model for multiphase flows. In this work, we theoretically analyze pseudopotential LB simulations of two-phase Poiseuille flow at the discrete level. The finite-difference…
H. van de Beek, M. Beldjenna, M. Fidler, L.B. Zwep + 1 more
Asymptotic standard errors for the parameters of a nonlinear mixed-effects model fitted by first-order conditional estimation (FOCE) or FOCE with interaction (FOCEI) require the observed (Fisher) information — the negative second derivative of the population objective at the optimum. The gradient of this objective can…
Yeonwoo Park, Brian P.H. Metzger, Joseph W. Thornton
How complicated is the genetic architecture of proteins – the set of causal effects by which sequence determines function? High-order epistatic interactions among residues are thought to be pervasive, making a protein’s function difficult to predict or understand from its sequence. Most studies, however, used methods…
Sanjay Sarkar, Amit Agarwal
Rectification, the conversion of AC fields into DC currents, is crucial for optoelectronic applications such as energy harvesting and wireless communication. However, it is conventionally absent in centrosymmetric systems due to vanishing second-order optical responses. Here, we demonstrate significant rectification…
Stephan Gerster, Giuseppe Visconti
Traffic flow modeling spans a wide range of mathematical approaches, from microscopic descriptions of individual vehicle dynamics to macroscopic models based on aggregate quantities. A fundamental challenge in macroscopic modeling lies in the closure relations, particularly in the specification of a traffic hesitation…
Luke Allan, Tim Zuehlsdorff
The second order cumulant method offers a promising pathway to predicting optical properties in condensed phase systems. It allows for the computation of linear absorption spectra from excitation energy fluctuations sampled along molecular dynamics (MD) trajectories, fully accounting for vibronic effects, direct…
Kedkanok Sitarachu, Michael Bachmann
We employ the microcanonical inflection-point analysis method, developed for the systematic identification and classification of phase transitions in systems of any size, to study the two-dimensional Ising model at various lattice sizes and in the thermodynamic limit. Exact results for the density of states, which were…
Authors not listed
Deriving versatile and robust mechanistic models from experimental data is a key challenge in engineering and natural sciences. This is especially true in chemical reaction engineering, where reactor manufacturers and operators increasingly pursue the development and maintenance of digital twins that rely on frequent…
Mahrshi Jani, Shengyue Su, Lena Gast, Armin Nagel + 1 more
Ensuring optimal homogeneity of the static magnetic field (B0) is critically important for significantly enhancing the image quality, spectral resolution, and overall diagnostic accuracy of magnetic resonance imaging (MRI) and magnetic resonance spectroscopy/spectroscopic imaging (MRS/MRSI), especially at high and…
Octavio Arizmendi, Daniel Munoz George, Saylé Sigarreta
The present paper is set within the framework of higher-order freeness, a generalization of Voiculescu's Free Probability Theory [26] that arises from the study of fluctuations in largedimensional random matrices. Introduced in [8], higher-order freeness extends the concept of second-order freeness by analyzing the…
Authors not listed
Enzymatic hydride transfer reactions play a crucial role in numerous metabolic pathways, yet their accurate computational modeling remains challenging due to the trade-off between accuracy and computational efficiency. Ideally, molecular dynamics simulations should sample all enzyme configurations along the reaction…
Anatol Eduard Reghintovschi
Although the concept of a two-person psychology as an encompassing perspective is not new, the role of the psychoanalytic dyad, or the analytic third, within the analytic process requires further research. Do analytic dyads (or thirds) create meaning and thus contribute to the process? If so, how can this be observed?…
Authors not listed
Classical molecular dynamics (MD) simulation is the most computationally efficient way to model large molecular systems atomistically for extended periods; however, due to fixed forcefield parameters, incorporating on-the-fly quantum reactions is not straightforward. Reactive Step-Based Molecular Dynamics (RSMD) is a…
Hamidreza Arjmandi, Kajsa P Kanebratt, Liisa Vilén, Peter Gennemark + 1 more
Biophysical models can predict the behavior of cell cultures including 3D cell cultures (3DCCs), thereby reducing the need for costly and time-consuming experiments. Specifically, mass transfer models enable studying the transport of nutrients, oxygen, signaling molecules, and drugs in 3DCC which requires defining…
Steven A. Frank
Many scientific problems focus on observed patterns of change or on how to design a system to achieve particular dynamics. Those problems often require fitting differential equation models to target trajectories. Fitting such models can be difficult because each evaluation of the fit must calculate the distance between…
Wei Cai, Yirui Zhang, Jianxin Zhang, Shunshun Guo + 2 more
'Francesco Aggogeri'] To predict the variation in the displacement position of hydraulic cylinder piston rods, a neural network model is proposed to enhance the displacement control accuracy of hydraulic cylinders. The innovation of this paper is that by calculating the compressibility-induced flow loss of hydraulic…