Setting up a battery discovery project
Navigate to Dashboard > Workflows > Battery and create a new project. Define your target application (e.g., solid-state Li-ion, Na-ion, or Li-S) and specify constraints: minimum ionic conductivity, voltage stability window, target capacity, and any excluded elements. The workflow automatically maps these constraints to searchable property ranges across the materials graph.
Defining the search universe
The universe step expands your constraints into a candidate set drawn from all indexed materials. You can filter by data source, crystal system, space group, and confidence threshold. The workflow shows how many candidates pass each filter and highlights where your constraints are most selective, helping you avoid over-constraining early.
Ranking and scoring candidates
The ranking step applies weighted multi-criteria scoring across your chosen properties. Default weights emphasize stability and conductivity, but you can adjust the balance for your specific application. Each candidate receives a composite score with full transparency into how individual property scores contribute.
Comparing top candidates
The comparison view lets you place your top 3-10 candidates side by side, with property values, confidence scores, and source attribution for each. Discrepancies between sources are highlighted. You can add notes and flag candidates for experimental follow-up directly in the comparison view.
Exporting evidence packages
The deliver step generates a structured report with candidate rankings, property data, confidence scores, source citations, and your team's annotations. Reports export as PDF or structured JSON for integration into downstream workflows, IP filings, or stakeholder presentations.
Ready to try it yourself?
Start exploring materials data with cross-source confidence, simulation workflows, and the tools described in this resource.