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相关概念视频

Design Consideration01:22

Design Consideration

183
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
183
Design Example01:23

Design Example

321
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
321
Study Design in Statistics01:15

Study Design in Statistics

8.0K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
8.0K
Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K
Accelerating Fluids01:17

Accelerating Fluids

1.0K
When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
1.0K
Improving Translational Accuracy02:07

Improving Translational Accuracy

9.6K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
9.6K

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相关实验视频

Updated: Jun 17, 2025

A Tool to Automatically Create Stable and Reproducible Cell-free Gaps for Improving the Reliability of Cell Wound Healing Assay
06:13

A Tool to Automatically Create Stable and Reproducible Cell-free Gaps for Improving the Reliability of Cell Wound Healing Assay

Published on: October 4, 2024

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NJmat:以数据驱动的机器学习接口来加速材料设计.

Yiru Huang1, Lei Zhang1, Hangyuan Deng1

  • 1Department of Materials Physics, School of Chemistry and Materials Science, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Journal of chemical information and modeling
|August 12, 2024
PubMed
概括

这项研究介绍了NJmat,这是一种用户友好的机器学习接口,可以自动化材料和化学设计,通过简单的按点击加速研究人员的发现.

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学计算化学
  • 数据科学数据科学数据科学

背景情况:

  • 在材料科学中,机器学习 (ML) 的采用受到的学习曲线和广泛的编码要求的阻碍.
  • 当前的ML工具需要大量的时间投资,这限制了它们与材料和化学设计的日常研究工作流程的整合.

研究的目的:

  • 推出NJmat,一个新的,用户友好的,数据驱动的ML接口,旨在简化材料和化学设计.
  • 为了自动化关键的ML流程,包括数据转换,功能选择,模型构建,预测和结果可视化.

主要方法:

  • 开发一个具有"点击按"功能的图形用户界面 (GUI),用于ML模型构建和预测.
  • 实现无机材料 (来自化学公式) 和有机分子 (来自SMILES字符串) 的自动化特征化.
  • 集成Shapley图片的自动生成和"白盒"遗传模型/科学见解的决策树.

主要成果:

  • NJmat成功地自动化了材料和化学设计的整个ML管道,大大减少了所需的时间和专业知识.
  • 对化矿表面设计的案例研究证明了该工具在虚拟预测,自动化特征化和可解释模型构建方面的有效性.
  • 该软件促进了快速反向设计,与材料基因组计划的目标保持一致.

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Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

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相关实验视频

Last Updated: Jun 17, 2025

A Tool to Automatically Create Stable and Reproducible Cell-free Gaps for Improving the Reliability of Cell Wound Healing Assay
06:13

A Tool to Automatically Create Stable and Reproducible Cell-free Gaps for Improving the Reliability of Cell Wound Healing Assay

Published on: October 4, 2024

464
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

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Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

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结论:

  • NJmat使数据驱动材料设计民主化,使研究人员,特别是实验人员能够在没有广泛的计算专业知识的情况下利用ML.
  • 自动化功能和"白盒"模型提供了速度和科学理解,加速了新材料和化学品的发现.
  • 预计该工具将大大加快材料基因组倡议框架内的研究.