← All projects
RESEARCH PROJECT / DRAFT MANUSCRIPT / SPECTROSCOPY · MATERIAL ANALYSIS · MACHINE LEARNING

AI-assisted LIBS.

Comparing spectroscopic and data-driven methods for hardness analysis of steel.

AI-assisted LIBS project figure

A collaborative university research project on hardness analysis of 80CrV2 steel using laser-induced breakdown spectroscopy (LIBS).

Project overview

The project compared emission-line analysis, PCA with k-means clustering and machine-learning methods. My contributions included measurements, spectral preprocessing and participation in the comparative evaluation.

LIBS shots on an 80CrV2 sample — original project footage.
PCA and k-means analysis of LIBS spectra
PCA and k-means analysis from the AI-LIBS manuscript draft.