Abstract: Physics-informed neural networks (PINNs) incorporate physical constraints into their loss functions, allowing them to efficiently solve Partial Differential Equations (PDEs). In this work, ...

That joyfulness can extend even to the more mundane lessons, like learning new vocabulary, which historically has involved ...

Abstract: Programmable metasurfaces have gained significant interests due to their capacity in manipulating electromagnetic (EM) waves dynamically. Here, we present a deep learning (DL) based approach ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...