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相关概念视频

Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

259
The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
259

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Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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使用可解释图形神经网络范式,一次量化一个原子的乱.

James Chapman1,2, Tim Hsu3, Xiao Chen4

  • 1Department of Mechanical Engineering, Boston University, Boston, MA, USA. jc112358@bu.edu.

Nature communications
|July 7, 2023
PubMed
概括
此摘要是机器生成的。

我们开发了SODAS,一种使用图形神经网络来量化材料中的原子混乱的新度量. 这有助于了解结构变化如何影响材料性能和耐用性.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算材料科学科学 计算材料科学
  • 数据科学数据科学数据科学

背景情况:

  • 量化原子失调对于理解材料特性和耐用性至关重要.
  • 现有的方法可能无法完全捕捉复杂的本地结构环境.

研究的目的:

  • 为局部原子失调开发一种可物理解释的度量.
  • 建立一个连续的频谱来量化障碍.
  • 将这个指标应用于各种物质系统和现象.

主要方法:

  • 利用图形神经网络来定义以结构为导向的障碍分析谱 (SODAS) 度量.
  • 对热扰动的量化局部原子配置多样性.
  • 将SODAS指标应用于粒度边界,固体-液体接口,微观结构和断裂.

主要成果:

  • 索达斯 (SODAS) 提供了一个连续的混乱光谱,将固体和液体相相结合起来.
  • 在元素中展示了接口的时空跟踪.
  • 从连续无序场中提取物理保存的梯度,用于故障预测.

结论:

  • SODAS框架提供了一个可概括的途径来量化原子混乱.
  • 这个度量将复杂的局部原子结构与宏观材料行为联系起来.
  • 能够更好地预测材料性能和故障机制.