Magnetic resonance electrical properties tomography (MR‐EPT) is a non‐invasive
measurement technique that derives the electrical properties (EPs, eg, conductivity or …

This paper considers online convex optimization (OCO) with generated iid stochastic
constraints, where the performance is measured by adaptive regret. The stochastic …

This paper presents a novel method based on leveraging physics-informed neural networks
for magnetic resonance electrical property tomography (MREPT). MREPT is a noninvasive …

Magnetic resonance electrical propert tomography promises to retrieve electrical properties
(EPs) quantitatively and non‐invasively in vivo, providing valuable information for tissue …

Solving partial differential equations (PDEs) numerically often requires huge computing
time, energy cost, and hardware resources in practical applications. This has limited their …

This newly formed team at SQMS under the Ecosystem Thrust is looking to develop
capabilities impacting societal advances outside the core domain of HEP and condensed …

Training end-to-end models for solving partial differential equations (PDEs) using deep
learning methods, such as deep neural networks, demands substantial computing …