Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …

The anomalous (ie, non-Fickian) transport characteristics (eg, early arrival/long tailing and
other non-Gaussian plume properties) make it challenging to apply classical transport …

Low-temperature plasma-processing technologies are essential for material synthesis and
device fabrication. Not only the utilization but also the development of plasma-related …

Conventional continuum models for ion transport across polyamide membranes require
solving partial differential equations (PDEs). These models typically introduce a host of …

Vertical axis wind turbines (VAWTs), so named because of their vertical axis of rotation, are
a sustainable, opportune, and versatile means of producing energy. Their operation is not …

Indoor air quality (IAQ) monitoring technology is crucial for achieving optimized heating,
ventilation, and air conditioning (HVAC) strategies for efficient energy management. In this …

The modeling of flow and transport in porous media is of the utmost importance in many
chemical engineering applications, including catalytic reactors, batteries, and CO2 storage …

Soil and rock, as typical porous media, widely exist in natural slopes and landslides and
underground reservoirs. Accurate predicting the permeability of porous media is crucial in …

In the modern era, Artificial Intelligence (AI) has emerged as a powerful tool that can rapidly
generate highly accurate data, offering tremendous potential for optimizing system …

This study proposes a material discovery framework for porous materials to identify design
variable recipes and the corresponding material structures that can be utilized to improve …