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

Data Collection by Experiments01:13

Data Collection by Experiments

28.0K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
28.0K
Randomized Experiments01:13

Randomized Experiments

9.3K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
9.3K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

15.1K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
15.1K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

11.4K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.4K
Experimental Designs01:16

Experimental Designs

18.5K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
18.5K
Machines: Problem Solving II01:30

Machines: Problem Solving II

735
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.
735

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

Formation of the intradimer disulfide bond in human calprotectin maintains metal-withholding function and tunes proteolytic susceptibility.

Chemical science·2026
Same author

Can You Help ChatGPT Get an "A" in Organic Chemistry? Teaching Effective Prompting of Large Language Models for Reaction Prediction.

Journal of chemical education·2026
Same author

An International Laboratory Comparison Study on Approximating the Enthalpy of Adsorption via the Clausius-Clapeyron Approach.

Chemphyschem : a European journal of chemical physics and physical chemistry·2026
Same author

Molecular Foundation Models for Predicting Self-Assembly in Aqueous Mixtures.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

Augmenting Large Language Models for Automated Discovery of F-Element Extractants.

Journal of the American Chemical Society·2026
Same author

Manipulating Hydrocarbon Chain-Melting Transitions in Dialkylammonium Halide Barocaloric Materials through Desymmetrization.

Journal of the American Chemical Society·2025
Same journal

Keep the Hubble and James Webb Space Telescopes alive - the science is worth the price tag.

Nature·2026
Same journal

Say hello to hard helium.

Nature·2026
Same journal

How to avoid dementia - what the science really says.

Nature·2026
Same journal

Save Hubble: the race to preserve the space telescope kicks off.

Nature·2026
Same journal

How long can humans live? All evidence points to a maximum of 125 years.

Nature·2026
Same journal

Listen to Gen Z when it comes to AI in education.

Nature·2026
查看所有相关文章

相关实验视频

Updated: Mar 21, 2026

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
06:54

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

3.8K

使用失败实验的机器学习辅助材料发现

Paul Raccuglia1, Katherine C Elbert1, Philip D F Adler1

  • 1Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.

Nature
|May 6, 2016
PubMed
概括
此摘要是机器生成的。

机器学习可以准确地预测新型无机-有机混合材料的成功合成. 这种使用失败反应数据的方法取得了89%的成功率,超过了传统方法.

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K

相关实验视频

Last Updated: Mar 21, 2026

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy
06:54

A Virtual Simulation Experiment of Mechanics: Material Deformation and Failure Based on Scanning Electron Microscopy

Published on: January 20, 2023

3.8K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.7K

科学领域:

  • 材料科学
  • 无机化学
  • 机器学习应用

背景情况:

  • 无机有机混合材料,包括金属有机框架 (MOF) 和矿,通过水热和溶热方法合成.
  • 这些材料的形成机制尚未完全理解,导致人们依赖于探索性合成.
  • 数据驱动和模拟方法为材料发现提供了试验和错误的替代方案.

研究的目的:

  • 开发一个机器学习模型来预测模板化化的结晶结果.
  • 使用历史"黑暗"反应数据 (失败的合成) 来训练预测模型.
  • 确定有机模板无机材料成功形成的新条件.

主要方法:

  • 从存档的实验室笔记本中收集的数据详细说明了失败的热水合成 ("暗"反应).
  • 使用化学信息学增强的原始笔记本数据与物理化学性质描述.
  • 在组合数据集上训练了一种机器学习模型来预测反应的成功.

主要成果:

  • 机器学习模型成功预测了有机模板新无机产品形成的条件,成功率为89%.
  • 该模型在预测成功的热水合成结果方面超过了传统的人类策略.
  • 逆向模型提供了有利于产品形成的条件的新假设.

结论:

  • 基于历史合成数据的机器学习是加速发现无机-有机混合材料的强大工具.
  • 与传统方法相比,这种方法显著提高了发现新材料的效率和成功率.
  • 预测模型不仅指导合成,而且还产生了对材料形成的新科学理解.