3 papers
math.NA2025
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-…
cond-mat.mtrl-sci2025
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…
cond-mat.mtrl-sci2025
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…