网络粗粒化方法 网络释义 1. 粗粒化方法 .../RNA等)结构与功能关系,如采用分子动力学模拟,粗粒化方法(coarse-grained method)等,研究生物大分子间的相互作 … biomechanics.bit.edu.cn|基于 1 个网页
1) Coarse grained method 粗粒谱1. Coarse grained method was used for frequency analysis to obtain the pow- er spectrum density. 方法以15例临床心律失常病人为研究对象,使用自主设计的针刺仪与脉象仪,检测针刺内关穴前后的脉象图以及针刺过程中针体受力数据,采用粗粒谱法对脉象数据进行频域分析,以所得...
Herein, we present a coarse-grained method for granular shear flow (CGSF). The CGSF was developed for a powder mixing process with a dense granular shear flow. The CGSF was built to match four types of energies between the coarse-grained and original particles under a granular shear flow....
Methods have been developed to augment the MD simulation of coarse-grained models, such as the Brownian dynamics method40 and the dissipative particle dynamics method.41–44 These methods add dissipative, random, and/or repulsive forces between particles to effectively simulate the material. Despite ...
a cutoff of 1.2 nm was used for short-range non-bonded interaction, and long-range electrostatic interactions were handled by the Particle Mesh Ewald method87. The equations of motion were solved using the leap-frog integrator with a time step of 2 fs and periodic boundary condition was applie...
We employ a denoising-based, self-supervised pre-training approach, adapted from the work by Zhang et al.22, to instruct our CG graph encoder on the intricate patterns of DDI structures and sequences. This method involves introducing perturbation to each CG graph in the pre-training DDI datase...
A coarse-grained method based on the analysis of short molecular dynamics trajectories for the simulation of non-Markovian dynamics of molecules adsorbed i... A coarse-grained method based on the analysis of short molecular dynamics trajectories for the simulation of non-Markovian dynamics of ...
We propose a coarse-grained simulation method which takes the effect of memory access contention into account. The method can be used for the evaluation of the execution time of an application program during the system architecture design in an early phase of development. In this phase, informatio...
DeepMind, an artificial intelligence company affiliated to Google, has designed a deep learning-based method that represents a substantial advance as compared to classical modeling techniques [53], [54]. These machine learning methods have been also applied in the development of force fields and are...
from parent structures (crossover). In this work, we used tournament selection without replacement as the selection operation, the simulated binary method as the crossover operation with an operation probability of 0.9, and a polynomial of order 20 for the mutation operation with an operation ...