Opportunities and Challenges in Unsupervised Learning: The Case of Aqueous Electrolyte Solutions

Giulia Sormani, Alex Rodriguez, Ali Hassanali

Machine learning has emerged as a powerful tool in atomistic simulations, enabling the identification of complex patterns in molecular systems limiting human intervention and bias.…