Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Impact: Problem Solving01:26

Impact: Problem Solving

435
In an experiment conducted during a Mars mission, a rover propels a projectile with an initial velocity, and the projectile rebounds after colliding with the Martian surface. To ascertain the maximum height attained by the projectile after this collision, the known restitution coefficient and acceleration due to gravity are employed.
By designating the launch point as the origin and utilizing kinematic equations, the vertical component of the projectile's velocity at the point of impact is...
435

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Causal multi-fidelity surrogate forward and inverse models for ICF implosions.

Scientific reports·2026
Same author

Learning robust features for scatter removal and reconstruction in dynamic ICF X-ray tomography.

Optics express·2025
Same author

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions.

Scientific reports·2025
Same author

SUDA: A SUrface Dust Analyser for Compositional Mapping of the Galilean Moon Europa.

Space science reviews·2025
Same author

Neural network representations of multiphase Equations of State.

Scientific reports·2024
Same author

Isotopic gamma lines for identification of shielding materials.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2024

相关实验视频

Updated: Jan 11, 2026

Conducting Elevated Temperature Normal and Combined Pressure-Shear Plate Impact Experiments Via a Breech-end Sabot Heater System
10:52

Conducting Elevated Temperature Normal and Combined Pressure-Shear Plate Impact Experiments Via a Breech-end Sabot Heater System

Published on: August 7, 2018

8.8K

在飞行员板撞击实验中学习强大的参数推断和密度重建.

Evan Bell1, Daniel A Serino2, Ben S Southworth1

  • 1Theoretical Division, Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM, 87545, USA.

Scientific reports
|November 19, 2025
PubMed
概括
此摘要是机器生成的。

从射线图像中准确估计材料特性是一项挑战. 本研究引入了一种机器学习方法,使用不同的冲击速度来推断状态方程和粉碎参数,从而能够更好地估计材料属性.

更多相关视频

Blast Quantification Using Hopkinson Pressure Bars
09:41

Blast Quantification Using Hopkinson Pressure Bars

Published on: July 5, 2016

9.4K
Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

18.2K

相关实验视频

Last Updated: Jan 11, 2026

Conducting Elevated Temperature Normal and Combined Pressure-Shear Plate Impact Experiments Via a Breech-end Sabot Heater System
10:52

Conducting Elevated Temperature Normal and Combined Pressure-Shear Plate Impact Experiments Via a Breech-end Sabot Heater System

Published on: August 7, 2018

8.8K
Blast Quantification Using Hopkinson Pressure Bars
09:41

Blast Quantification Using Hopkinson Pressure Bars

Published on: July 5, 2016

9.4K
Research and Development of High-performance Explosives
10:33

Research and Development of High-performance Explosives

Published on: February 20, 2016

18.2K

科学领域:

  • 物理 物理学 物理
  • 材料科学 是一种材料科学.
  • 计算科学 计算科学

背景情况:

  • 放射学在冲击物理实验中至关重要,但不会直接产生密度等关键变量.
  • 当直接访问状态变量有限时,传统的参数估计会失败.

研究的目的:

  • 开发一种机器学习 (ML) 方法,从放射数据中推断材料特性.
  • 解决从放射学中估计状态方程 (EoS) 和粉碎孔隙性参数的局限性.

主要方法:

  • 使用飞行器板对多孔材料的冲击实验.
  • 采用生成机器学习来直接从X光片中产生物理参数的后置分布.
  • 结合低和高冲击速度数据,以捕获不同的压缩和冲击传播模式.

主要成果:

  • 证明单独的高速数据不足以进行准确的参数推断.
  • 展示了ML方法在从模拟实验中估计EoS和粉碎模型参数方面的有效性.
  • 验证了估计的参数可以在水力动力学模拟中改善密度重建.

结论:

  • 拟议的ML方法可以从放射观测中准确估计材料属性.
  • 该方法对噪声和模型不匹配具有稳定性,在实验数据分析中提供了潜在的突破.
  • 这种技术有助于更好地理解和预测极端条件下的材料行为.