ML + Analytical Chemistry Intersections

Where machine learning meets analytical methods

Overview

Exploring the powerful intersections between machine learning and analytical chemistry.

Key Areas

Data Processing: ML for spectral analysis and peak detection
Pattern Recognition: Identifying compounds and mixtures
Optimization: Experimental design and method development
Prediction: Property estimation and behavior modeling
Automation: Intelligent instrument control and workflow optimization

Current Focus

Documenting specific use cases where ML can enhance analytical chemistry workflows.

---
title: "ML + Analytical Chemistry Intersections"
subtitle: "Where machine learning meets analytical methods"
---

## Overview

Exploring the powerful intersections between machine learning and analytical chemistry.

## Key Areas

- **Data Processing**: ML for spectral analysis and peak detection
- **Pattern Recognition**: Identifying compounds and mixtures
- **Optimization**: Experimental design and method development
- **Prediction**: Property estimation and behavior modeling
- **Automation**: Intelligent instrument control and workflow optimization

## Current Focus

Documenting specific use cases where ML can enhance analytical chemistry workflows.