Platform

One workspace for experimental materials intelligence.

SciPhys turns scattered instrument files into evidence, structured lab memory, and the next decision a researcher can trust.

Raw data

Instrument files stay connected to sample context.

Evidence

Analysis outputs keep peaks, fits, residuals and assumptions visible.

Memory

Labs build searchable history across students, projects and materials.

What it does

Built around scientific evidence.

Instrument data becomes a research object

Upload is only the entry point. SciPhys records sample details, project context, instrument settings, analysis versions and researcher notes so later interpretation does not lose the experimental story.

  • XRD, Raman, SEM, AFM, spectroscopy and battery files can share one archive.
  • Metadata is designed for student workflows and principal investigator review.
  • Every run can be revisited with the analysis state that produced the conclusion.

Physics-aware engines before language models

The core product is not a generic chat interface. Domain algorithms produce peaks, phases, fits, figures, residuals and confidence signals before AI writes a scientific explanation.

  • XRD analysis uses peak evidence, reference patterns, structure data and refinement outputs.
  • AI responses separate spectrum evidence, database evidence, literature evidence and lab history.
  • Export paths are built for figures, tables, reports and supplemental materials.

The feedback loop compounds over time

Each upload, correction, report and accepted interpretation makes the workspace more useful for the next experiment. That is the product flywheel: data context, expert review, better models and faster decisions.

  • Students get cleaner analysis and writing help.
  • Advisors get visibility across the group.
  • The lab accumulates private knowledge that generic AI cannot see.

Workflow

From raw files to research decisions.

01

Capture

Bring raw files and experimental context into one searchable workspace.

02

Analyze

Run instrument-specific algorithms and keep the evidence chain visible.

03

Decide

Use AI to summarize what changed, what is uncertain and what to test next.

FAQ

Questions researchers ask first.

What is SciPhys?+

SciPhys is a web workspace for materials and physics researchers that analyzes raw instrument data and preserves the scientific context around each experiment.

Is SciPhys only a chatbot?+

No. Chat is only one interface. The product combines file parsing, analysis algorithms, reference data, literature context, lab memory and export workflows.

Who is the platform for?+

SciPhys is built for students, postdocs, principal investigators and industrial materials teams that work with experimental instrument data.

Continue exploring

XRD analysis

Evidence-based phase identification and refinement.

Lab data management

Make student uploads searchable and reviewable.

Materials AI

Physical AI for experimental materials work.