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相关概念视频

Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
Deactivation Processes: Jablonski Diagram01:25

Deactivation Processes: Jablonski Diagram

Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...
Block Diagram Reduction01:22

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

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相关实验视频

Updated: Jun 8, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

通过使用主动机器学习有效创建可抛射图.

Maryam Pardakhti1,2,3, Shing-Yun Chang2,3, Qian Yang1

  • 1Computer Science and Engineering Department, University of Connecticut, Storrs, Connecticut, USA.

3D printing and additive manufacturing
|October 3, 2024
PubMed
概括

积极学习显著减少了80%的喷墨增材制造实验. 这种机器学习技术创建了详细的喷射性图表,以改善油墨和打印头的开发.

关键词:
积极学习是积极学习.自主3D打印可以实现3D打印.机器学习是机器学习.材料喷射 材料喷射预测建模预测建模

更多相关视频

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
12:06

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

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

Published on: July 22, 2025

相关实验视频

Last Updated: Jun 8, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
12:06

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

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

Published on: July 22, 2025

科学领域:

  • 增材制造 增材制造 增材制造
  • 材料科学 材料科学 材料科学
  • 机器学习 机器学习

背景情况:

  • 从打印头持续喷射材料是喷墨增材制造中的一个挑战.
  • 滴滴监视是有效的,但资源密集的测试油墨和打印头.

研究的目的:

  • 开发一种数据效率高的主动学习方法,用于构建详细的喷射能力图.
  • 为了克服模型选择和不平衡的分类对实践实验预算的挑战.

主要方法:

  • 利用主动学习来识别"没有喷射"",喷射"和"希望喷射"的区域.
  • 实施了两阶段的二进制分类方法,以解决小的"希望喷射"区域.
  • 采用了一种强光镜滴滴观察器来分析来自压电打印头的流体喷射.

主要成果:

  • 与网格搜索相比,主动学习减少了80%的实验需求.
  • 在预测"喷射"区域时,达到超过95%的测试准确度.
  • 成功构建了两个流体的详细喷射图.

结论:

  • 积极学习方法加快了新油墨和打印头的开发.
  • 这种方法提供了一种更有效的替代传统的下降观测实验.
  • 准确的喷射图对于推进基于喷墨的增材制造至关重要.