Atomscale
Product
Case Studies
Updates
Careers
About
Log In
Get in Touch
Case Studies
Atomscale accelerates time-to-insight for atomic-scale engineering across a broad range of material systems.
Case Study
Process similarity trace
Material state over time after a setpoint change. Both actual inputs overshoot the target and ring, while the ideal response settles at the target. The measured system lag is 75% longer than the assumed lag.
OVERDRIVEN SYSTEM PATTERN
TARGET
SYSTEM LAG
Assumed
Measured
+75%
Input B
ACTUAL
Ideal
SETTLES AT
TARGET
Input A
ACTUAL
Time after setpoint change (s)
Material state
(a.u.)
AI-Driven Direct Material State Feedback for Improved Process Control
Case Study
10x improvement in prediction accuracy for film growth improves material outcomes and control.
Research
Predicting and Accelerating Nanomaterials Synthesis Using Machine Learning Featurization
Use Case
Cross-Data Stream Pattern Detection
Use Case
In Situ Proxy for Ex-situ Measurements
Case Study
10x improvement in prediction accuracy for film growth improves material outcomes and control.
Research
Predicting and Accelerating Nanomaterials Synthesis Using Machine Learning Featurization
Use Case
Cross-Data Stream Pattern Detection
Use Case
In Situ Proxy for Ex-situ Measurements
Use Case
Automated RHEED Phase Transition Detection
Use Case
Rotating Stage RHEED Growth Video Analysis
Built for the future.
Available today.
Get Started Now
