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相关概念视频

Atomic Nuclei: Nuclear Relaxation Processes01:23

Atomic Nuclei: Nuclear Relaxation Processes

598
In the absence of an external magnetic field, nuclear spin states are degenerate and randomly oriented. When a magnetic field is applied, the spins begin to precess and orient themselves along (lower energy) or against (higher energy) the direction of the field. At equilibrium, a slight excess population of spins exists in the lower energy state. Because the direction of the magnetic field is fixed as the z-axis,  the precessing magnetic moments are randomly oriented around the z-axis.
598

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相关实验视频

Updated: May 20, 2025

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers
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传递信息的神经网络用于模拟磁相过渡.

Shuhao Hu1,2, Xinjian Ouyang1,2, Zhilong Wang1,2

  • 1Shaanxi Provincial Key Laboratory of Electronic Devices and Advanced Chips, and School of Microelectronic, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China.

Journal of physics. Condensed matter : an Institute of Physics journal
|May 6, 2025
PubMed
概括
此摘要是机器生成的。

机器学习,特别是传递信息的神经网络 (MPNNs),现在可以预测三化物等材料中的磁相过渡. 这种统一的方法同时模拟磁相互作用和原子运动,推进材料科学研究.

关键词:
一个磁性磁场.传递信息的传递方式网络 网络 网络 网络 网络 网络神经系统的神经系统.一个阶段的阶段.过渡时期的过渡.

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Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains
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相关实验视频

Last Updated: May 20, 2025

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12:37

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科学领域:

  • 材料科学 材料科学 材料科学
  • 凝聚物质物理学 凝聚物质物理学
  • 计算化学计算化学

背景情况:

  • 预测磁相转换通常需要每个材料的特定哈密尔顿模型.
  • 机器学习提供了一种统一的方法,消除了对每个系统新模型的需求.

研究的目的:

  • 通过一种新的机器学习方法,研究二维三化物 (CrX3) 中的磁相转换.
  • 开发一种通用磁力哈密尔顿式,能够处理各种磁系统.

主要方法:

  • 采用消息传递神经网络 (MPNN) 潜能,一种包含磁性自由度的专用类型.
  • 直接集成原子磁矩到MPNN的消息传递过程中.
  • 为了模拟,将磁性MPNN与兰道-利夫希茨-吉尔伯特方程结合起来.

主要成果:

  • 通过结合磁矩,精确建模磁性材料中的潜在能量表面.
  • 成功模拟了2D CrX3中的铁磁和反铁磁相位过渡作为温度的函数.
  • 统一了磁自由度和原子位移的处理方法.

结论:

  • MPNN提供了一个强大的,统一的框架来研究磁相转换.
  • 这种方法通过提供多功能预测工具来推进磁性材料的研究.
  • 演示了磁性MPNN模拟复杂磁现象的能力.