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From Raw Curves to Reliable Material Parameters

Material parameter extraction is a technically demanding task. Experimental data is often noisy, incomplete, and highly non-linear. Relevant regimes must be identified manually, fitting ranges carefully chosen, and assumptions continuously validated against physical meaning. Many parameters — such as modulus, yield stress, or relaxation constants — are not directly observable but must be derived from curve segments, slopes, intersections, or multi-step transformations, each sensitive to small methodological changes.

Without a dedicated extraction tool, this work quickly becomes inefficient and error-prone.

Manual Workflows Slow Teams and Increase Risk

Using spreadsheets or generic plotting software forces engineers into repetitive, fragile processes:

• Manual data slicing and copy-paste workflows
• Hard-coded formulas with limited traceability
• Iterative assumption testing requiring repeated steps
• Implicit knowledge locked in individual experts

As datasets grow or test variants increase, parameter extraction becomes a bottleneck — slow, error-prone, and impossible to scale.

MatLytics: Parameter Extraction Built for Experts

MatLytics provides a purpose-built environment for material parameter extraction that combines interactive visual analysis with technically rigorous methods.

With MatLytics, material experts can:

• Extract parameters directly from curves using intuitive, interactive workflows
• Adjust fit ranges in real time while seeing immediate effects on derived parameters
• Apply extraction logic consistently across datasets and projects
• Keep all assumptions explicit, traceable, and reproducible

Parameter extraction becomes faster, more robust, and easier to standardize — while preserving full expert control.

Faster, Reliable, and Scalable Insights

By streamlining parameter extraction, MatLytics delivers tangible business value:

• Reduced engineering time spent on manual calculations
• Higher confidence in extracted material parameters
• Reproducible results across experiments and teams
• Scalable processes that grow with datasets and team size

Teams can focus on interpreting material behavior instead of managing data.

Extract Parameters with Confidence

Parameter extraction should be precise, reproducible, and transparent.

👉 Book a demo to see MatLytics’ Parameter Extraction in action.