## What is/are Dynamics Algorithm?

Dynamics Algorithm - In the present work, proton transfer processes among the BASs of H-BEA zeolites, the adsorbed cyclohexanol and surrounding water clusters with different sizes up to 8 water molecules were investigated using ab initio molecular dynamics (AIMD) simulations combined with the multiple-walker well-tempered metadynamics algorithm.^{[1]}In the present study, an improved Incompressible Smoothed Particle Hydrodynamics algorithm (ISPH) is proposed to model the mixing flow in an active micromixer in which an oscillating cylinder cusses to enhance the mixing rate.

^{[2]}Thus, this reduced and generalized ffBXB is more readily adaptable for incorporation into classical molecular mechanics/dynamics algorithms, including those commonly used to design inhibitors against therapeutic targets in medicinal chemistry and materials in biomolecular engineering.

^{[3]}However, how to choose an appropriate one from a wide diversity of dynamics algorithms to study a realistic photochemical process is still unclear.

^{[4]}Amid collective-variable (CV)-based importance-sampling algorithms, a hybrid of the extended adaptive biasing force and the well-tempered metadynamics algorithms (WTM-eABF) has proven particularly cost-effective for exploring the rugged free-energy landscapes that underlie biological processes.

^{[5]}We employ the well-tempered parallel-bias metadynamics algorithm to study the stability of nanoparticles in a lattice gas for crystallization from solution.

^{[6]}In this letter, we apply algorithmic differentiation (AD) to propagate sensitivities through dynamics algorithms.

^{[7]}This paper describes the Dynamics Algorithms for Real-Time Simulation (DARTS) software for multibody dynamics modeling, analysis and simulation.

^{[8]}The formulas, dynamics algorithm and control design details are all presented.

^{[9]}, A Compatible, Energy and Symmetry Preserving Lagrangian Hydrodynamics Algorithm in Three-Dimensional Cartesian Geometry, Journal of Computational Physics, 157 (2000) 89–119), a symmetry preserving scheme in 3D Cartesian coordinate system is extended to Lagrangian radiation hydrodynamics.

^{[10]}This version contains a finite-volume magnetohydrodynamics algorithm on an unstructured, dynamic Voronoi tessellation coupled to a tree-particle-mesh algorithm for the Poisson equation either on a Newtonian or cosmologically expanding spacetime.

^{[11]}The experimental results show that the simulation system can display the movement of the space mirrors positioning 6DOF robot precisely and verify the dynamics algorithms with a friendly interface.

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## Fluid Dynamics Algorithm

A moving-boundary computational fluid dynamics algorithm was used to derive wall shear stress (WSS) and peak residence time (PRT).^{[1]}In case of dispersed systems, the appropriate mathematical tools for such an advanced representation are the population balance equations and the computational fluid dynamics algorithms.

^{[2]}A new approach to vectorization of computational fluid dynamics algorithms adapted for astrophysical applications is proposed.

^{[3]}In this paper, a pressure-based coupled computational fluid dynamics algorithm for numerical analysis of all Mach number region flow is developed.

^{[4]}ANSWER: Different physiological indices have been developed lately from the 3D reconstruction of the angiogram based on 2 projections and the application of fluid dynamics algorithms.

^{[5]}intravascular ultrasound (IVUS)-derived fractional flow reserve (FFR) is a novel technique to estimate functional severity of coronary stenosis using a fluid dynamics algorithm.

^{[6]}The patient geometries were used in Canon Medical Systems 1D fluid dynamics algorithm to calculate the CT- FFR.

^{[7]}For example, in computational fluid dynamics algorithm, this hybrid quantum/classical approach is discussed, and in particular it is shown how the approximate quantum Fourier transform (AQFT) can be used in the Poisson solvers of the considered method for the incompressible-flow Navier-Stokes equations.

^{[8]}What are the relative roles of thermal undulations of the plasma membrane and deterministic forces from active filopodia? We use a computational fluid dynamics algorithm capable of simulating 10-nanometer-scale fluid-structure interactions with thermal fluctuations up to seconds- and microns-scales.

^{[9]}What are the relative roles of thermal undulations of the plasma membrane and deterministic forces from active filopodia? We use a computational fluid dynamics algorithm capable of simulating 10-nanometer-scale fluid-structure interactions with thermal fluctuations up to seconds-and microns-scales.

^{[10]}

## Molecular Dynamics Algorithm

In addition, the PyUNIxMD offers many nonadiabatic molecular dynamics algorithms such as fewest‐switch surface hopping and its derivatives as well as decoherence‐induced surface hopping based on the exact factorization (DISH‐XF) and coupled‐trajectory mixed quantum‐classical dynamics (CTMQC) for general purposes.^{[1]}In this paper we extend the "middle" scheme to molecular dynamics algorithms for configurational sampling in systems subject to constraints.

^{[2]}We finally use our results for the motor velocity to check the validity of the quantum molecular dynamics algorithm in the nonlinear, nonequilibrium regime.

^{[3]}The work has two sub-objectives: the description of the programmers experience investigation during porting classical molecular dynamics algorithms from CUDA to ROCm platform and performance benchmarking of initial and resulting programs on GPU devices with modern architectures (Pascal, Vega10, Vega20).

^{[4]}Our authors should be aware of our requirements for computational papers: they should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parametrization, simulations conditions etc.

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## Inverse Dynamics Algorithm

The second-order inverse dynamics algorithm is accompanied by a fourth-order forward and inverse kinematics algorithm.^{[1]}The co-simulation results show that the inverse dynamics algorithm can be used as the feedforward of the control system, which can greatly reduce the gains of the PD controller; the robot has good compliance and can achieve stable trotting.

^{[2]}The joint accelerations and the Ground Reaction Forces(GRFs) outputted from the quadratic program solver are used to calculate the desired joint torques using an inverse dynamics algorithm.

^{[3]}In this work, learning-based inverse dynamics algorithms are proposed for the analysis of human motion.

^{[4]}Both predictions were based on inverse dynamics algorithm provided by human finite element analysis.

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## Body Dynamics Algorithm

Based on a URDF description of the robot’s kinematics, three major rigid body dynamics algorithms are used to retrieve the dynamics symbolically in the CasADi framework.^{[1]}A Rigid Body Dynamics Algorithm for Modelling Random Packing Structures of Non-Spherical and Non-Convex Pellets.

^{[2]}We introduce Pinocchio, an open-source software framework that implements rigid body dynamics algorithms and their analytical derivatives.

^{[3]}In this paper, we (i) survey current state-of-the-art software implementations of the key rigid body dynamics algorithms (RBDL, Pinocchio, RigidBodyDynamics.

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## Keystroke Dynamics Algorithm

Despite its prominence, it has one major limitation: keystroke dynamics algorithms are good at fitting a model to one user and one user only.^{[1]}This article focuses on analysing the robustness of keystroke dynamics algorithms against variations in biometric records through electroencephalography, using waves associated with states of relaxation and excitement and a self-report questionnaire.

^{[2]}We evaluated our method on four state-of-the-art keystroke dynamics algorithms and three publicly available datasets and showed that we can dramatically reduce the possibility of replay attacks while preserving highly accurate user verification.

^{[3]}

## Nonlinear Dynamics Algorithm

Here, we present a novel approach called the “parameter identification of complex network dynamics” algorithm which combines elements of the sparse identification of nonlinear dynamics algorithm with a genetic algorithm to automatically and efficiently discover the underlying dynamics of complex networks from data with minimal domain-specific knowledge requirements.^{[1]}First, a variant of the sparse identification of nonlinear dynamics algorithm is proposed to identify parsimonious, time-varying aerodynamical systems that capture VIV events of the bridge.

^{[2]}Nonlinear dynamics algorithms are used to choose the neural net architecture.

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## Explicit Dynamics Algorithm

This paper presents a suite of Meshless Total Lagrangian Explicit Dynamics (MTLED) algorithms incorporating a Modified Moving Least Squares (MMLS) method for interpolating scattered data both for visualization and for numerical computations of soft tissue deformation, a novel way of imposing EBC for explicit time integration, and an adaptive numerical integration procedure within the Meshless Total Lagrangian Explicit Dynamics algorithm.^{[1]}The Johnson-Cook hardening model and fracture strain model were used, and the model considered large deformation, high strain-rate, thermal softening and damage evolution, the explicit dynamics algorithm was adopted to simulate the difference of band's engraving processes based on different bore structures.

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## Spiral Dynamics Algorithm

This paper suggests the use of Particle Swarm Optimization and Spiral Dynamics Algorithm to optimize the Artificial Neural Network based failure model for Five Phase Induction Motor drive.^{[1]}This paper suggests some methods to optimize the model of Neural Network (ANN) using Particle Swarm optimization (PSO) and Spiral Dynamics Algorithm (SDA).

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## Langevin Dynamics Algorithm

Here we present a model of magnetic nanoparticle interactions built upon a Langevin dynamics algorithm to simulate the time evolution and aggregation of colloidal suspensions.^{[1]}If the length of the time step is kept constant, this propagator reduces to a regular Langevin dynamics algorithm, and to the velocity Verlet algorithm for conservative dynamics if the friction coefficient is set to zero.

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## Population Dynamics Algorithm

We derive self-consistency equations for the steady-state distribution, which can be solved using a population dynamics algorithm, as well as a full solution for the time evolution of the moments, corroborated with numerical simulations.^{[1]}We show that this equation can be solved using a stochastic population dynamics algorithm, and we provide its implementation.

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## Forward Dynamics Algorithm

The developed approaches are integrated into forward dynamics algorithms to be assessed and compared against available contact approaches in the literature.^{[1]}The framework is built through application of the articulated body forward dynamics algorithm and the tree-augmented approach for closed-chain forward dynamics.

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## dynamics algorithm capable

What are the relative roles of thermal undulations of the plasma membrane and deterministic forces from active filopodia? We use a computational fluid dynamics algorithm capable of simulating 10-nanometer-scale fluid-structure interactions with thermal fluctuations up to seconds- and microns-scales.^{[1]}What are the relative roles of thermal undulations of the plasma membrane and deterministic forces from active filopodia? We use a computational fluid dynamics algorithm capable of simulating 10-nanometer-scale fluid-structure interactions with thermal fluctuations up to seconds-and microns-scales.

^{[2]}