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Simulation of Molecular Motion under the Oscillation of Electromagnetic Field in the Microwave Band 微波波段电磁场振荡下分子运动的模拟
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2021-01-01 DOI: 10.2477/jccj.2021-0035
Jun-Ichi Sugiyama, M. Yoneya
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引用次数: 0
Visualization of Orbitals (11) ― Formation of Molecular Orbitals from the Interference of Atomic Orbitals 轨道可视化(11)——原子轨道干涉形成分子轨道
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2021-01-01 DOI: 10.2477/jccj.2021-0021
S. Tokita
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引用次数: 0
Development of the Electronic Structure Calculation using Imaginary Time Evolution 利用假想时间演化发展电子结构计算
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2021-01-01 DOI: 10.2477/jccj.2021-0032
Qinlin Wang, Y. Zempo
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引用次数: 0
Improving the Accuracy of Crystal Structure Prediction Using FMO Crystal Energy: An Example of Target XXIII 利用FMO晶体能量提高晶体结构预测的精度:以靶靶为例
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2021-01-01 DOI: 10.2477/jccj.2021-0041
Yohei Utsumi, Daiki Umeda, Koji Okuwaki, S. Obata, N. Nakayama, Hitoshi Goto, T. Furuishi, Kaori Fukuzawa, E. Yonemochi
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引用次数: 0
Theoretical Prediction of the Redox Potential of Catechins with First Principle Calculation 用第一性原理计算对儿茶素氧化还原电位的理论预测
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2021-01-01 DOI: 10.2477/jccj.2022-0002
Lian Duan, Yukari Takano, Y. Shigeta
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引用次数: 0
Simulation Study of the Stability of Heat Shock Protein 90 (HSP90) and Co-chaperone p23 Complex 热休克蛋白90 (HSP90)及其协同伴侣蛋白p23复合物稳定性的模拟研究
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2021-01-01 DOI: 10.2477/jccj.2021-0044
L. Matsukura, Naoyuki Miyashita
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引用次数: 0
Program for Automatic Numerical Conversion of a Line Graph (Line Plot) 折线图(折线图)的自动数值转换程序
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.2477/jccj.2020-0002
M. Yoshitake, Takashi Kono, Suguru Kadohira
A program for fully automatic conversion of line plots in scientific papers into numerical data has been developed. By the conversion of image data into numerical data, users can treat so-called 'spectra' such as X-ray photoelectron spectra and optical absorption spectra in their purpose, plotting them in different ways such as inverse of wave number, subtracting them from users' data, and so forth. This article reports details of the program consisting of many parts, with several deep-learning models with different functions, elimination of literal characters, color separation, etc. Most deep-learning models achieve accuracy higher than 95%. The usability is demonstrated with some examples.
开发了一个将科学论文中的线形图全自动转换为数值数据的程序。通过将图像数据转换为数值数据,用户可以将x射线光电子能谱、光学吸收能谱等所谓的“光谱”按照自己的目的进行处理,以波数逆、从用户数据中减去等不同的方式进行绘图。本文详细介绍了由多个部分组成的程序,具有不同功能的几个深度学习模型,消除文字字符,分色等。大多数深度学习模型的准确率高于95%。通过一些示例证明了该方法的可用性。
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引用次数: 1
The Multiple Representation of Protein Sequence MotifsUsing Sequence Binary Decision Diagrams 基于序列二元决策图的蛋白质序列基序的多重表示
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.2477/jccj.2019-0028
Kohei Yamato, Kato Hiroaki, Tetsuo Katsuragi, Yoshimasa Takahashi
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引用次数: 0
Electron State Effects on The Formation Process of Muonic Atom 电子态对介子原子形成过程的影响
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.2477/JCCJ.2020-0012
K. Ninomiya
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引用次数: 0
Antiferromagnetic Orderings of Alkali-metal Nanoclusters Arrayed in Sodalite Crystal Studied by μSR and Other Microscopic Probes 用μSR和其他显微探针研究碱金属纳米团簇在钠盐晶体中的反铁磁有序
IF 0.1 Q4 CHEMISTRY, MULTIDISCIPLINARY Pub Date : 2020-01-01 DOI: 10.2477/JCCJ.2020-0020
T. Nakano
Alkali metal clusters with an unpaired electron can be periodically arranged in a body-centered cubic structure in sodalite, a type of aluminosilicate zeolite, to form a Mott insulator accompanied with an antiferromagnetic ordering. This system does not contain any magnetic elements and is a novel magnetic system in which the magnetic order is realized by alkali metal s-electrons. In order to investigate the origin of the s-electron magnetism in detail, we present examples of studies using muon spin rotation/relaxation (μSR), synchrotron radiation Mössbauer spectroscopy, and neutron diffraction techniques. The spatial expansion of the s-electron wave functions of the nanoclusters with increasing alkali metal content has been directly observed by these experimental methods. This enhances the exchange interaction and increases the transition temperature (Néel temperature). A very simple model material of the MottHubbard system is realized in s-electrons. We also point out that there are great expectations for the future contribution of computer science to this material system, especially to μSR experiments.
具有未配对电子的碱金属团簇可以周期性地在钠石(一种铝硅酸盐沸石)中以体心立方结构排列,形成具有反铁磁有序的莫特绝缘体。该系统不含任何磁性元素,是一种由碱金属s-电子实现磁序的新型磁性系统。为了更详细地研究s-电子磁性的起源,我们给出了使用μ子自旋/弛豫(μSR)、同步辐射Mössbauer光谱和中子衍射技术研究的例子。这些实验方法直接观察到,随着碱金属含量的增加,纳米团簇的s-电子波函数的空间扩展。这增强了交换相互作用,提高了转变温度(nsamel温度)。在s电子中实现了一种非常简单的moththbbard系统模型材料。我们还指出,未来计算机科学对这种材料体系的贡献,特别是对μSR实验的贡献,有着很大的期望。
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引用次数: 0
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Journal of Computer Chemistry-Japan
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