1 citations · 1 across the 2 of their papers we have counts for
6 papers
Improving neural network predictions of material properties with limited data using transfer learning
Schuyler Krawczuk, Daniele Venturi
We develop new transfer learning algorithms to accelerate prediction of material properties from ab initio simulations based on density functional theory (DFT). Transfer learning h…
Density Propagation with Characteristics-based Deep Learning
Tenavi Nakamura-Zimmerer, Daniele Venturi, Qi Gong +1
Uncertainty propagation in nonlinear dynamic systems remains an outstanding problem in scientific computing and control. Numerous approaches have been developed, but are limited in…
A new scalable algorithm for computational optimal control under uncertainty
Panos Lambrianides, Qi Gong, Daniele Venturi
We address the design and synthesis of optimal control strategies for high-dimensional stochastic dynamical systems. Such systems may be deterministic nonlinear systems evolving fr…
Stability analysis of hierarchical tensor methods for time-dependent PDEs
Abram Rodgers, Daniele Venturi
In this paper we address the question of whether it is possible to integrate time-dependent high-dimensional PDEs with hierarchical tensor methods and explicit time stepping scheme…
Dynamically orthogonal tensor methods for high-dimensional nonlinear PDEs
Alec Dektor, Daniele Venturi
We develop new dynamically orthogonal tensor methods to approximate multivariate functions and the solution of high-dimensional time-dependent nonlinear partial differential equati…
Generalized Langevin equations for systems with local interactions
Yuanran Zhu, Daniele Venturi
We present a new method to approximate the Mori-Zwanzig (MZ) memory integral in generalized Langevin equations (GLEs) describing the evolution of smooth observables in high-dimensi…