Explores computational methods in quantum physics, emphasizing exact diagonalization and space discretization techniques.
Delves into the complexity of human society and interdisciplinary topics from the EPFL Magistrale 2019 event.
Explores trade-offs between data and time in computational problems, emphasizing diminishing returns and continuous trade-offs.
Explores Laplacian solvers, covering approximate solutions, applications, error conversion, and theoretical advancements in computational methods.
Explores advances in interatomic potentials for materials, focusing on accuracy, multi-scale modeling, and challenges in creating reactive potentials.
