Machine Learning for Experimentation does not have to be hard
Matterhorn streamlines the integration of Machine Learning in your experimentation process
This 5 minute tutorial demonstrates the three fundamental steps of experimental material discovery:
Get a feeling for what data-driven material development can feel like. Understand the advantages and limitations of Machine Learning and learn how Bayesian Optimisation can work in your laboratory.
Start TutorialSelf-driving labs are taking over the world, so how can you build your own at home?
Aug. 28, 2023
In May, we received a grant from IUK, as part of the Transformative Technologies series, to refine our machine learning models for biosynthetic materials.
June 12, 2023
I had the chance to talk about Machine Learning in Material Science with Professor Bonnet on his show "Welt der Werkstoffe".
Feb. 1, 2023
Matterhorn streamlines the integration of Machine Learning in your experimentation process
The more the better! Most labs will already have a dataset to build from. Importantly, the data needs to be of high quality, i.e. low noise. Ideally, it is composed of continuous variables and few dimensions, as categorical variables are generally harder to optimise.
Matterhorn is indifferent to how much Machine Learning capabilities your lab currently offers. Feel free to bring your own Data Scientist, but if you are in the early stages of ML-driven material science we are happy to support you with recruiting or providing consultation.
Bayesian Optimisation is an algorithm that guarantees the statistically most efficient path to optimal material performance. It uses the uncertainty in the solution space to decide which experiment to run next.
See paper Autonomous experimentation systems for materials development
Material discovery requires several stepping stones. Matterhorn takes care of your data management and visualisation needs. User-friendly modeling and optimisation interfaces seamlessly integrate in any laboratory workflow.
Manage your data and variables in a single storage for efficient exchange across your team
Schedule your next experiment, efficiently. Choose from a variety of search strategies for optimal success rate.
We will happily guide you through the emerging space of data-driven material discovery. We look forward to learn from your experience and problem space.