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相关概念视频

Emission Spectra02:39

Emission Spectra

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When solids, liquids, or condensed gases are heated sufficiently, they radiate some of the excess energy as light. Photons produced in this manner have a range of energies, and thereby produce a continuous spectrum in which an unbroken series of wavelengths is present.
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Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Machines: Problem Solving II01:30

Machines: Problem Solving II

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
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Machines: Problem Solving I01:22

Machines: Problem Solving I

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A toggle clamp is a mechanical device commonly used for holding and clamping objects in various applications, such as woodworking, metalworking, and assembly operations. Consider a toggle clamp subjected to a force of 200 N at the handle. The vertical clamping force can be calculated, provided the dimensions of the toggle clamp are known.
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
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Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

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Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
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COPD: Pathogenesis and Clinical Features01:20

COPD: Pathogenesis and Clinical Features

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Chronic obstructive pulmonary disease (COPD) is a group of lung conditions that progressively worsen over time, including chronic bronchitis and emphysema. This cluster of diseases collectively leads to a gradual and irreversible decline in lung function over time.
The primary cause for the onset of COPD is cigarette smoking and exposure to air pollution. These hazardous factors initiate a chain reaction within the lungs, resulting in chronic inflammation, damage to the airways, and a...
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相关实验视频

Updated: Feb 6, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

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机器学习冰光谱:从1到256个特征

Shokirbek Shermukhamedov1, Jolla Kullgren1, Daniel Sethio1

  • 1Department of Chemistry-Ångström, Uppsala University, Box 538, Uppsala S-75231, Sweden.

Journal of chemical theory and computation
|February 4, 2026
PubMed
概括

机器学习模型准确地预测冰的光谱特性. 传递信息的原子集群扩张 (MACE) 模型实现了OH振动频率和质子化学转移的高精度.

科学领域:

  • 计算化学是一种计算化学.
  • 材料科学是一种材料科学.
  • 频谱学是一种光谱学.

背景情况:

  • 预测冰等材料的光谱性质对于理解它们的行为至关重要.
  • 机器学习和结构指纹为加速这些预测提供了有希望的途径.

研究的目的:

  • 评估机器学习模型和结构指纹在预测冰的OH振动频率和1H化学变化的有效性.
  • 为了比较不同机器学习模型和描述器的性能.

主要方法:

  • 利用了55个冰多态的大型理论数据集,并使用了1010个DFT数据点.
  • 采用机器学习模型,包括信息传递原子集群扩展 (MACE),ACSF和SOAP.
  • 用化学转移和振动频率的平方根平均偏差 (RMSD) 评估性能.

主要成果:

  • MACE模型表现出卓越的性能,在化学转移方面达到0.06ppm的RMSD,在振动频率方面达到~10cm−1.
  • 更简单的描述符,如ACSF和SOAP,当与适当的回归器相结合时,接近MACE的准确性.
  • 与MACE相比,一个基本的H键距离描述器导致了明显更大的RMSD值.

结论:

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  • 机器学习,特别是MACE,为冰的光谱特性提供了非常准确的预测.
  • 虽然简单的描述符不太准确,但它们提供了透明度,可能适合特定应用.
  • 这项研究强调了计算方法在推进冰科学方面的潜力.