DSF-AI

Structural analysis tools
for measurement data and material properties.

A family of tools: detect phase transitions in any ordered measurement series, predict nanoparticle properties from geometry, find optimal thermocouple pairs. Different computations, one service.

Analyze a CSV Screen Clusters
Superconductors Pharma / Polymorph Screening Semiconductors Ferroelectrics Medical Devices Geological Data

DSF Structural Analyzer

Upload a two-column CSV of any ordered positive scalar series — temperature vs resistance, pressure vs volume, time vs voltage. Get transition detection, precursor onset, and stability classification. Deterministic. No training. Same pipeline, same parameters across all domains.

📄

Drop your CSV here or

Two columns. First analysis free. Max 10 MB.

Nanoparticle Property Predictor

Predict nanoparticle properties from element, cluster size, and lattice type. Proprietary geometric model — a different computation from the CSV analyzer above. 4 property types, 23 d-metals, 5 magic sizes. No DFT. Milliseconds per prediction.

Thermocouple Pair Finder

Utility built on the Cluster Predictor's Seebeck output. Finds the nanoparticle pair with maximum Seebeck difference for highest voltage output.

What DSF-AI Finds

The same engine analyzes data from any domain. Here are real results from physics and pharmaceutical data.

Structural Analyzer Superconductor R(T)

YBCO — the most studied superconductor in history.

  • Transition at 93K (confirmed)
  • Precursor onset at 106K — 13K early warning
  • Structural precursors typically require specialized probes (ARPES, NMR). DSF-AI finds them from the transport curve alone.

Structural Analyzer Pharma DSC

Simulated drug compound — heat flow vs temperature.

  • Glass transition at 62°C
  • Polymorph I at 86°C
  • Polymorph II at 143°C
  • Melt at 211°C
  • Decomposition onset at 263°C

5 transitions found automatically. FDA polymorph screening requires identifying all crystalline forms.

Cluster Predictor Au13

  • HOMO-LUMO gap: 0.648 eV (measured: 0.650 eV, 0.3% off)
  • Seebeck: +87.6 μV/K (measured: +93, 5.8% off)
  • Electron affinity: 3.71 eV (measured: 3.80 eV, 2.4% off)

Geometric model, not the CSV analyzer. Validation details.

Structural Analyzer 7 Materials

Data TypeDomainTransitions Found
R(T)Superconductors (4)All detected
R(T)Metal-insulatorYes
Dielectric(T)FerroelectricYes
DSCPharma polymorph5 of 5

Same engine. No domain configuration. No per-material tuning. Full validation evidence.

Try It On Your Data

Download a sample CSV and upload it above:

Pricing

Cluster Screener is always free. Predict nanoparticle properties for any element, any cluster size, unlimited predictions. No account required.

CSV Structural Analysis

Free Trial

$0

First CSV analysis free. No signup.

Per Analysis

$25

Pay per curve. Web upload.

Academic

$5K/yr

Unlimited CSV analyses. API access.

Industry

$50K/yr

API + SLA. Batch processing.

Questions about billing or plans? support@dsf-ai.com