7 citations · 7 across the 4 of their papers we have counts for
5 papers
A Variational Physics-Informed Neural Network Framework Using Petrov-Galerkin Method for Solving Singularly Perturbed Boundary Value Problems
Vijay Kumar, Gautam Singh
This work proposes a Variational Physics-Informed Neural Network (VPINN) framework that integrates the Petrov-Galerkin formulation with deep neural networks (DNNs) for solving one-…
Van der Waals injection-molded crystals
Vinh Tran, Amy X. Wu, Laisi Chen +5
Shaping low-dimensional crystals into precise geometries with low disorder is an outstanding challenge. Here, we present a method to grow single crystals of arbitrary geometry with…
Fast nanothermometry based on direct electron detection of electron backscattering diffraction patterns
Ryan Gnabasik, Razan O. Nughays, Ashlynn Overholser +5
Accurate temperature measurement at the nanoscale is crucial for thermal management in next-generation microelectronic devices. Existing optical and scanning-probe thermometry tech…
Optical-vortex diagnostics via Fraunhofer slit diffraction with controllable wavefront curvature
A. Bekshaev, L. Mikhaylovskaya, S. Patil +2
Far-field slit-diffraction of circular optical-vortex (OV) beams is efficient for measurement of the topological charge (TC) magnitude but does not reveal its sign. We show that th…
On estimation of the effect lag of predictors and prediction in functional linear model
Haiyan Liu, Georgios Aivaliotis, Jeanine Houwing-Duistermaat
We propose a functional linear model to predict a response using multiple functional and longitudinal predictors and to estimate the effect lags of predictors. The coefficient func…