Machine learning
The latest chemistry news and research on machine learning, including reaction prediction, synthesis planning and drug and material discovery, from the Royal Society of Chemistry's magazine, Chemistry World
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Research
Large language models are better than humans at answering chemistry questions
AI models outperform human chemists in every topic area. But are they really better chemists?
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Opinion
Did AI just win the Nobel prizes in physics and chemistry?
The importance of the expert eye in scientific progress
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Opinion
Large language models are great, but they don’t speak to me
AI has some made tremendous achievements, but some things mean more than words
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Opinion
This year’s chemistry Nobel proves it’s hard to make predictions
It’s been a long journey from the myoglobin model
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News
Twenty ways AI is advancing chemistry
List reveals how machine learning is already changing the central science
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News
Protein design and structure prediction wins chemistry Nobel prize
David Baker, Demis Hassabis and John Jumper were rewarded for creating computational tools to design proteins and predict their structures that have ‘revolutionised biological chemistry’
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News
Physics Nobel prize goes to artificial neural networks and machine learning
Research inspired by how brains learn now powers cutting-edge technology in smartphones and scientific research
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Webinar
Purposeful simulation: Maximising impact in surface chemistry modelling
Learn how to select appropriate computational models to deliver impact in surface chemistry research
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Research
Proteins with multiple structures open up AlphaFold’s black box
AI prediction model often fails to identify fold-switching, helping show how it works and the limits of its usefulness
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Research
Electrochemical series for materials makes predicting oxidation states easy
Machine-learning trained model could open up new opportunities in materials discovery
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News
Disappointing AI judgment could have a ‘catastrophic effect’ on UK science
Warnings that loose legal definitions in case could also threaten innovation in chemistry
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Research
Algorithm predicts bitterness from mass spectra data alone
New tool could find use in food science and drug development
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Opinion
Our hunger for data could be an unhealthy diet
Synthetic data is both an answer and a problem
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Feature
Why are computational chemists making up their data?
‘Synthetic data’ is being used in chemistry, but is it something we should worry about? Hayley Bennett explains
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Research
AI predicts vape flavours can break down into potentially harmful compounds when heated
Flavours may decompose into harmful carbonyls, alkenes and aromatics when heated
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News
Are we rushing ahead with AI in the lab?
Patience will be key to making machine learning indispensable – and practical – for chemistry
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Research
Algorithm designs proteins from scratch that can bind drugs and small molecules
Strategy could stop an overdose or produce an antidote to a poison
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Research
Brewing better Belgian beer with artificial intelligence
Machine learning tool can predict a beer’s taste and quality and which flavour compounds could improve it
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Research
AI could provide new approach to assessing chemical toxicity thresholds in aquatic organisms
Model showed excellent predicative ability and could cut animal testing in pollution research
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Research
GPT-3 trained and tuned to predict molecular properties
A better understanding of Smiles helps GPT-3 recognise chemically relevant patterns