Start with the materials question, then close the loop with validation.
MatterLens focuses on climate-relevant materials. Each application uses Symbolia AI's AI scientist engine to reason over literature, materials data, synthesis constraints, characterization evidence, experiments, and optimization loops.
Catalysts and Reaction Materials
AI scientist workflows for catalyst formulation, active-site hypotheses, support effects, selectivity tradeoffs, and experiment prioritization.
Read applicationSorbents, Membranes, and Carbon Capture
Discovery support for CO2 capture materials, selective sorbents, membranes, regeneration strategies, and separation-process fit.
Read applicationPolymers and Circular Materials
AI-guided discovery for polymers, additives, composites, degradation pathways, recyclability, and application-specific material targets.
Read applicationBattery Materials
Discovery workflows for cathodes, anodes, electrolytes, binders, interfaces, degradation modes, and manufacturable battery-material choices.
Read applicationSynthesis Feasibility and Characterization
Feasibility workflows that connect synthesis routes, precursor availability, hazards, characterization plans, and evidence quality.
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