Showing 141–160 of 236 results
/ Date/ Name
Jun 12, 2020Convolutional neural network based hierarchical autoencoder for nonlinear mode decomposition of fluid field dataJun 3, 2020Quantum simulation of electronic structure with a transcorrelated Hamiltonian: improved accuracy with a smaller footprint on the quantum computerJun 3, 2020Equivariant Flows: Exact Likelihood Generative Learning for Symmetric DensitiesJun 2, 2020Data-driven learning of non-autonomous systemsMay 21, 2020Imaginary-time time-dependent density functional theory for periodic systemsMay 11, 2020SPADE: Sequential-clustering Particle Annihilation via Discrepancy EstimationMay 10, 2020Chromodynamic multi-relaxation time lattice Boltzmann scheme for fluids with density differenceApr 24, 2020Machine learning based spatio-temporal super resolution reconstruction of turbulent flowsApr 10, 2020Preliminary results in using Deep Learning to emulate BLOB, a nuclear interaction modelApr 2, 2020A Heuristic Quantum-Classical Algorithm for Modeling Substitutionally Disordered Binary Crystalline MaterialsMar 6, 2020Analysis of Magnetic Vortex Dissipation in Sn-Segregated Boundaries in Nb$_3$Sn Superconducting RF CavitiesFeb 28, 2020Discrepancies of measured SAR between traditional and fast measuring systemsFeb 5, 2020Hyper-optimized tensor network contractionJan 29, 2020Hamiltonian neural networks for solving equations of motionJan 27, 2020Assessment of supervised machine learning methods for fluid flowsJan 20, 2020Machine learning models for the secondary Bjerknes force between two insonated bubblesDec 20, 2019Methods for comparing uncertainty quantifications for material property predictionsNov 20, 2019Towards Physics-informed Deep Learning for Turbulent Flow PredictionOct 22, 2019Multilevel Combinatorial Optimization Across Quantum ArchitecturesSep 25, 2019DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems