The Wolfram Solution for

Materials Science

Model new materials using powerful symbolic and numeric computational abilities, visualize crystal structures interactively, and measure performance by analyzing deformation and failure data with sophisticated statistics—all in one integrated workflow.

Underlying the Wolfram materials science solution is the most automated and reliable computation, development, and deployment environment available.

Designing new materials and processes using powerful computational abilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Wolfram technologies include thousands of built-in functions and curated data on many topics that let you:

  • Calculate the expected stresses and strains on material as it is deformed and analyze deformation data to determine its stiffness and strength
  • Post-process derived equations to convert them to code that will control machining equipment
  • Instantly create interactive tools for data analysis, presentation, or sharing ideas with colleagues and deploy them to others with Wolfram CDF Player
  • Solve complex analytic geometry problems to design new structures
  • Model and analyze future measurement or manufacturing equipment for semiconductor production
  • Design, test, and manufacture lightweight and strong materials
  • Study the effects of different processing techniques on material properties
  • Apply computational quantum mechanics to design new materials
  • Work with built-in lattice and polyhedron data, plus materials properties and other data from Wolfram|Alpha
  • Perform reliability analysis to improve system reliability

Analyze test data, visualize molecular structures, and model manufacturing methods

Create visualizations for lectures and presentations

Next: How Wolfram Compares
The Wolfram Edge
How Wolfram Compares
Key Capabilities

Does your current tool set have these advantages?

  • Symbolic calculations improve the accuracy and flexibility of structural or performance models
    Matlab's built-in routines only handle numeric calculations
  • Gain accuracy in predicting behavior at small length scales with built-in, fully automated precision control and arbitrary-precision arithmetic
    Excel, Matlab, and other systems relying on machine arithmetic can show critical errors due to numerical accuracy failure
  • Choose from procedural, functional, and rule-based programming paradigms for fast development of analysis tools or theoretical models
    Mathcad only has a simple procedural programming language built in
  • Import, compute, and deliver results in one interactive document instead of across several applications
    Matlab does not have a built-in document system

Design and test new materials or processing techniques

Instantly create interactive tools for data analysis, presentation, or sharing ideas with colleagues

Next: Key Capabilities
The Wolfram Edge
How Wolfram Compares
Key Capabilities

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