A physics-informed AI application that detects droplet contours and calculates surface tension and free energy for fluid and materials research.
AI DevelopmentCustom Software
Concept UI based on the project capabilities. Actual client interface not shown.
The challenge
Turning complex expertise into a reliable AI workflow
Detect changing droplet contours accurately from experimental imagery in real time.
Calculate surface tension and free energy consistently across repeated experiments.
Accelerate the solution of partial differential equations used in complex fluid-dynamics analysis.
The solution
A purpose-built intelligent platform
The application combines AI vision and neural networks for contour detection with physics-informed neural networks for equation solving. Detection, measurement and analysis are connected in one repeatable experimental workflow.
Computer VisionNeural NetworksPINNsPDE Solving
Droplet detection
Uses AI vision to identify and measure liquid-surface contours in real time.
Physics-informed modelling
Applies PINNs to solve partial differential equations describing surface behaviour.
Reproducible analysis
Automates capture, computation and reporting across repeated experiments.
The outcome
Practical value from applied AI
The application improves the speed, accuracy and repeatability of surface-physics analysis, helping researchers move more quickly from experiment to usable results.
