Knowledge base
Guides, research, and workflows for materials teams.
Technical guides, methodology whitepapers, tutorials, and recorded sessions to help your team get more from materials intelligence.
How to evaluate solid electrolyte candidates
A step-by-step framework for screening solid-state electrolyte materials using ionic conductivity, stability windows, and cross-source confidence scoring.
Cross-source confidence scoring explained
How Lattice Graph scores materials by measuring agreement across 9+ DFT databases that share functionals and structures, and why cross-source agreement is a consistency signal, not a benchmark against experiment.
Battery materials discovery workflow walkthrough
End-to-end walkthrough of the Lattice Graph battery discovery workflow: from defining search space through candidate ranking to exportable evidence packages.
Patent whitespace analysis for materials IP
How to use Lattice Graph patent whitespace detection to flag composition-property spaces that appear sparsely claimed in our indexed corpus, as a preliminary screen for patent counsel.
Catalyst screening with volcano plots
Use Lattice Graph HER/OER volcano plots and catalyst discovery workflows to screen electrocatalyst candidates by binding energy, overpotential, and stability.
Supply chain risk assessment methodology
How Lattice Graph quantifies supply chain risk for materials decisions: element criticality, geographic concentration, substitution difficulty, and price volatility signals.
Semiconductor packaging material selection
Framework for evaluating glass-core substrates, dielectrics, thermal interface materials, and CTE-matched packaging components using Lattice Graph workflows.
MCP tools for autonomous materials research
Recorded walkthrough of the Lattice Graph MCP tool set: how AI agents can search materials, run simulations, check confidence, and build reports autonomously.
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