Learning

5 machine learning examples in chemistry

Artificial intelligence has brought upon one of the biggest revolutions in the chemical sector.

Here you can explore several worked examples applying machine learning to this industry using Neural Designer.

Predict chemical biodegradability with machine learning

Explore how machine learning models are used in Quantitative Structure-Activity Relationship (QSAR) to predict biodegradation, helping environmental scientists assess the impact of chemicals and improve sustainability efforts with Neural Designer.

Develop an e-nose to detect alcohols using machine learning

Discover how machine learning models significantly enhance the performance of QCM alcohol sensors, enabling more accurate and reliable alcohol detection for safety, regulatory applications, and industrial monitoring with Neural Designer.

Improve wine quality using machine learning

Machine learning models are revolutionizing the wine industry by predicting and improving wine quality. With Neural Designer, producers can optimize processes, ensure consistent flavor profiles, and significantly boost customer satisfaction.

Model water toxicity using machine learning

Explore how machine learning models are applied to predict aquatic toxicity, enabling environmental scientists to assess the harmful effects of chemicals on aquatic ecosystems and improve sustainability and conservation efforts with Neural Designer.

Download the free trial to follow these machine learning examples in the chemical industry step by step.