Generalizing materials descriptors – How can we interpret and develop novel materials descriptors?
Inverse learning problems and generative models – How can we take advantage of the latest algorithm developed in the field of computer science?
Latent space and reinforcement learning approaches – Which problems in material science can be tackle through an efficient use of exploration and exploitation steps ?
Quantifying uncertainty in ML predictions – How can uncertainty prediction be a fully integrated and beneficial step in the study of material properties?
Direct application of ML to MD simulations – What are the available platforms and the current challenges for machine learning potentials fully exploitable by the community?
We will hear talks from industry leaders on how ML algorithms are employed in their research and product development. Participants will be advertised in this space soon.