Composition (kg/m³)

Adjust sliders or click a point in the scatter plot to explore predicted strength curves with uncertainty.

Tap a point to explore its properties. Tap X/Y toggles to switch axes.


Performance Tradeoffs

Click a point to explore its properties. Click X/Y toggles to switch axes.

X: GWP Y: 28-day strength Filter

Mix Insight

Pareto-optimal

Click a data point to see mix analysis.

Ingredient Insight

Click an ingredient name in the Composition panel to learn more.

⚠ Far from data

Predicted Strength Curve

Strength figures are model predictions with a 95 percent interval.
GWP: kg CO₂e/m³
Cost: $/m³
W/B:

References

BOxCrete: A Bayesian Optimization Open-Source AI Model for Concrete Strength Forecasting and Mix Optimization

Baten, Iqbal, Ament, Kusuma, Garg (2026)

Extends the framework to comprehensive concrete mix analysis across different curing temperatures and material sources. The resulting model was used to design a low-carbon mix deployed at a Meta data center.

arXiv
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Sustainable Concrete via Bayesian Optimization

Ament, Witte, Garg, Kusuma (2023)

Introduces the custom Gaussian process model and multi-objective Bayesian optimization formulation for concrete mix design, with initial results demonstrating efficient discovery of low-carbon, high-strength mortar formulations.

arXiv
Cite