AIchemy’s Monthly Webinar Series – December 2024

We are delighted to welcome you to our AIchemy Hub’s monthly webinar series. 
 
Speakers: 

Prof. Felix Strieth-Kalthoff – Machine Learning hits the Lab: Experiment Planning with Bayesian (Co-)Pilots

Prof. Felix’s talk will discuss his recent efforts to integrate Bayesian ML tools into experimental laboratory workflows with a focus on data limitations by enhancing ML with expert knowledge to improve decision making. Using examples from synthetic chemistry and conjugated organic materials discovery. He will highlight the opportunities and challenges in ML to support lab-based decisions.  
 
Kelvin Wong – Analysing Small Angle X-Ray Scattering Data with Neural Network Accelerated Monte Carlo Sampling

Kelvin will present a method for analysing Small Angle X-Ray Scattering (SAXS) curves using Markov Chain Monte Carlo (MCMC) sampling combined with an artificial neural network (ANN) surrogate model. The method reduces the sampling and analysis time, paving the way for real-time feedback and application in autonomous, closed-loop laboratories.
 
Following the presentations, there will be time for questions from the audience.