Related Experiment Video
Updated: Mar 9, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
Published on: November 22, 2019
The Importance of Numeric Databases to Materials Science
1AT&T Bell Laboratories, 600 Mountain Avenue, Murray Hill, NJ 07974.
Scientific numeric databases offer direct access to evaluated materials data, aiding research and optimizing processes like optical fiber production. These databases are also crucial for training future materials scientists.
Area of Science:
- Materials Science
- Data Science
Background:
- Scientific numeric databases are essential tools for materials scientists.
- Unlike bibliographic databases, numeric databases provide direct access to evaluated scientific data.
Purpose of the Study:
- To highlight the utility of scientific numeric databases in materials science research.
- To demonstrate applications in materials discovery and process optimization.
- To emphasize their role in graduate education.
Main Methods:
- Review and discussion of applications of crystallographic databases.
- Analysis of thermo-chemical data for optical fiber processing.
- Exploration of the educational value of numeric databases.
Main Results:
- Crystallographic databases can identify candidate materials for specific applications.
- High-quality thermo-chemical data are vital for optimizing optical fiber processing.
- Numeric databases serve as valuable educational resources for students.
Conclusions:
- Scientific numeric databases are indispensable for materials science research, discovery, and education.
- The quality and accessibility of data in these databases directly impact scientific advancement and technological innovation.
More Related Videos
06:37Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
Published on: September 17, 2021
07:24Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis
Published on: May 10, 2021
Related Concept Videos
Numerical Calculations
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Correlation of Experimental Data
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...