AI-Assisted Chemical Discovery: Research Smarter with Reaxys
In this seminar, students and researchers will discover how AI is transforming chemical and materials research and how tools like Reaxys can accelerate the way scientists search, analyse, and design chemistry.
Reaxys combines trusted scientific data with AI-enhanced literature search and automatic research summarization, allowing users to ask chemistry questions in natural language and quickly identify the most relevant papers, reactions, compounds, and properties.
- Participants will learn how to:
- explore chemical reactions, compounds, and properties across millions of curated records
- use AI-assisted search and literature summaries to understand research topics faster
- design synthetic routes using predictive retrosynthesis
- connect chemistry research to applications in materials science, energy, healthcare, electronics, and engineering
Researchers working in chemistry-related fields often lose significant time navigating multiple platforms. Reaxys integrates literature, experimental data, and AI-driven discovery tools in a single environment, helping researchers move faster from question to insight.
The seminar will include live demonstrations, practical examples, and tips on using AI tools responsibly within scientific research workflows.
Speaker:
Marta Da Pian, Elsevier
