Explores the engineering of intrinsic π-electron magnetism in carbon nanostructures, focusing on inducing magnetism in graphene and nanographenes through sublattice imbalance and topological frustration.
Introduces Scientific Machine Learning, emphasizing its application in various scientific fields and the connection between machine learning and physics.