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Welcome to Atomscale. This guide walks you through connecting your process and characterization data, extracting insights from it, and using those insights to improve your outcomes from passive monitoring to real-time intervention.

Connect → Analyze → Act

Using Atomscale follows a cycle with three steps:

Connect

Bring your data into Atomscale via file upload, screen capture, file watcher, or the Python SDK. Atomscale’s adapter models automatically process raw instrument data into structured, analysis-ready representations.Connect your data →

Analyze

Compare runs against your full process history using learned similarity embeddings. Assess within-run uniformity down to individual layers. Monitor active growths in real-time against known reference outcomes.Start analyzing →

Act

Set up anomaly detection and drift alerts that operate on Atomscale’s derived metrics. Respond to issues during a run, make immediate go/no-go decisions, and progressively close the loop toward automated process control.Take action →

Prerequisites

Before you begin, ensure you have:
An Atomscale account with appropriate permissions.
Access to the data sources you want to connect: characterization files, process logs, or a live instrument GUI for screen capture.
Network connectivity between your data sources and Atomscale (or files to upload for offline evaluation).
Don’t have an account yet? Contact your organization’s Atomscale administrator or reach out to our team.

What You’ll Achieve

By the end of this guide, you will:
  1. Have Atomscale processing your data, with adapter models extracting derived metrics like lattice spacing or composition predictions from your raw instrument data.
  2. Be able to compare any run against your process history using similarity embeddings that capture the full process signature.
  3. Have real-time monitoring configured, tracking active growths against reference outcomes and receiving alerts when the process diverges from expected behavior.
  4. Understand the path to closed-loop control, from operator-assisted decision-making through agent-based process intervention.

Choose Your Path

Ready to begin? Let’s connect your first data source.