AIchemy is a UK hub at the forefront of chemistry and AI convergence.

Prof. Abigail Doyle - Development of ML methods for reaction optimization and prediction
26:59
Prof. Abigail Doyle - Development of ML methods for reaction optimization and prediction
James Odgers - Approximate Bayesian Inference for Spectroscopy with Varying Pure Component Signals
18:40
James Odgers - Approximate Bayesian Inference for Spectroscopy with Varying Pure Component Signals
AIchemy at Pint of Science
0:20
AIchemy at Pint of Science
Nessa Carson - Don’t throw your data away! Gaining meaningful insights from HT chemistry
27:55
Nessa Carson - Don’t throw your data away! Gaining meaningful insights from HT chemistry
Linden Schrecker - Efficient Data Collection for Efficient Decision Making in Process Development
21:22
Linden Schrecker - Efficient Data Collection for Efficient Decision Making in Process Development
Prof. Philippe Schwaller - Teaching Language Models to Speak Chemistry: From Design to Synthesis
32:18
Prof. Philippe Schwaller - Teaching Language Models to Speak Chemistry: From Design to Synthesis
Yuan Li - High-throughput robotic chemical titration using computer vision
10:55
Yuan Li - High-throughput robotic chemical titration using computer vision
Dr. Fadwa El Mellouhi - Data-driven Materials Discovery
29:32
Dr. Fadwa El Mellouhi - Data-driven Materials Discovery
Ross Urqurhart - Machine Learning Potentials: Beyond Potential Energy
14:20
Ross Urqurhart - Machine Learning Potentials: Beyond Potential Energy
Dr. Sterling Baird - So you want to build a self-driving lab?
35:44
Dr. Sterling Baird - So you want to build a self-driving lab?
Prof. Felix Strieth-Kalthoff - ML hits the Lab: Experiment Planning with Bayesian (Co-)Pilots
44:00
Prof. Felix Strieth-Kalthoff - ML hits the Lab: Experiment Planning with Bayesian (Co-)Pilots
Kelvin Wong - Analysing SAXS Data with Neural Network Accelerated Monte Carlo Sampling
8:38
Kelvin Wong - Analysing SAXS Data with Neural Network Accelerated Monte Carlo Sampling
Abdoulatif Cisse - HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses
12:14
Abdoulatif Cisse - HypBO: Accelerating Black-Box Scientific Experiments Using Experts’ Hypotheses
Dr. Adam Clayton - Self-Optimising Approaches for Flow Synthesis
41:15
Dr. Adam Clayton - Self-Optimising Approaches for Flow Synthesis
Prof Anna Slater - Automation and Flow: Opportunities for Supramolecular Chemists
34:46
Prof Anna Slater - Automation and Flow: Opportunities for Supramolecular Chemists
Annabel Basford - Streamlining the discovery of porous organic cages
12:47
Annabel Basford - Streamlining the discovery of porous organic cages
AIchemy - Industry Engagement
3:31
AIchemy - Industry Engagement
AIchemy - Funding Opportunities
8:31
AIchemy - Funding Opportunities
AIchemy - ECR Committee & Training
3:29
AIchemy - ECR Committee & Training
Alchemy - Hub's Activities
2:54
Alchemy - Hub's Activities
AIchemy - Forerunner Projects
7:13
AIchemy - Forerunner Projects
Introduction to AIchemy Hub
7:11
Introduction to AIchemy Hub