The paper presents the development of algorithms for mass and energy constrained neural
network models that can exactly conserve the overall mass and energy of distributed …

Difluoromethane (R32) and pentafluoroethane (R125) are two common hydrofluorocarbon
refrigerants, often used in a mixture termed R410A. Many refrigerants, including R32 and …

In response to the escalating demand for flexible devices in applications such as wearables,
sensors, and touch panels, there is a need for innovative fabrication approaches for devices …

Self-driving laboratories and automated experiments can accelerate the design workflow
and decrease errors associated with experiments that characterize membrane transport …

Model-based design of experiments (MBDoE) is a powerful framework for selecting and
calibrating science-based mathematical models from data. This work extends popular …

Mathematical models have become increasingly critical due to the rapid advances in
computational methods in recent decades. However, the validation of these models often …

This paper presents the development of algorithms for mass-energy constrained neural
network (MECNN) models that can exactly conserve the overall mass and energy of …

This tutorial demonstrates the use of information geometry tools in analyzing environmental
parameter sensitivities in underwater acoustics. Sensitivity analyses quantify how well data …