How AI could help chemists make the field more sustainable and green
This article explores how artificial intelligence can be applied to advance green and sustainable chemistry. It references the foundational 12 Principles of Green Chemistry by Paul Anastas and John Warner (1998) and discusses how AI's data-crunching capabilities could help chemists optimize reactions, reduce waste, and minimize environmental impact by identifying subtle changes in materials and conditions that lead to more sustainable outcomes.
Key quotes
As global resources continue to diminish, we need to consider the life cycle of chemical materials and the impacts they can have on our health, safety and environment.
The book outlines the challenges involved in making chemical reactions more sustainable.
Can we use artificial intelligence (AI) to make chemistry greener?
From the article
You might also wanna read
OpenAI and Molecule.one demonstrate GPT-5.4-powered AI chemist improving medicinal chemistry reactions
OpenAI and Molecule.one demonstrate a near-autonomous AI chemist using GPT-5.4 that successfully improved a challenging reaction in medicina
openai.com·21d ago
AstraZeneca shares vision of a green and AI-driven future
AI framework could speed battery, combustion and materials research by automating simulations
AI and Laboratory Automation Accelerate Discovery and Synthesis of Metal–Organic Frameworks: A Review
This review article examines how artificial intelligence and laboratory automation are converging to transform the discovery and synthesis o
go.acs.org·14d ago
Reflections on 2024 Bio-ML Predictions: Generative Chemistry and Molecular Dynamics Challenges
The article reflects on the author's 2024 predictions about bio-ML (biological machine learning) from a 2026 perspective, focusing on genera
owlposting.com·5mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.