AI for nanomaterials development in clean energy and carbon capture, utilization and storage (CCUS)
Zero-carbon energy and negative emission technologies are crucial for achieving a carbon
neutral future, and nanomaterials have played critical roles in advancing such technologies …
neutral future, and nanomaterials have played critical roles in advancing such technologies …
Machine learning in gas separation membrane developing: Ready for prime time
Membrane technology is a promising next-generation gas separation technology and has
drawn tremendous research interest during the past decades. Despite the advanced …
drawn tremendous research interest during the past decades. Despite the advanced …
Machine learning enables interpretable discovery of innovative polymers for gas separation membranes
Polymer membranes perform innumerable separations with far-reaching environmental
implications. Despite decades of research, design of new membrane materials remains a …
implications. Despite decades of research, design of new membrane materials remains a …
[HTML][HTML] Multi-scale design of MOF-based membrane separation for CO2/CH4 mixture via integration of molecular simulation, machine learning and process modeling …
Metal-organic framework (MOF) membranes have demonstrated high efficiency for CO 2
capture due to their wide range of pore sizes, high surface area, high porosity, and open …
capture due to their wide range of pore sizes, high surface area, high porosity, and open …
[HTML][HTML] Machine learning for membrane design and discovery
Membrane technologies are becoming increasingly versatile and helpful today for
sustainable development. Machine Learning (ML), an essential branch of artificial …
sustainable development. Machine Learning (ML), an essential branch of artificial …
[HTML][HTML] Mixed-matrix membranes containing porous materials for gas separation: from metal–organic frameworks to discrete molecular cages
Abstract Mixed-matrix membranes (MMMs), which combine porous materials with a
polymeric matrix, have gained considerable research interest in the field of gas separation …
polymeric matrix, have gained considerable research interest in the field of gas separation …
Systematic review of using machine learning in imputing missing values
Missing data are a universal data quality problem in many domains, leading to misleading
analysis and inaccurate decisions. Much research has been done to investigate the different …
analysis and inaccurate decisions. Much research has been done to investigate the different …
Leveraging machine learning in porous media
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
The Potential of Machine Learning for Enhancing CO2 Sequestration, Storage, Transportation, and Utilization-based Processes: A Brief Perspective
In the paper, we present a review of different types of CO2 capture, storage, transportation,
and utilization (CCSTU) processes. We have also reviewed their further development by …
and utilization (CCSTU) processes. We have also reviewed their further development by …
Machine learning for membrane design in energy production, gas separation, and water treatment: a review
Membrane filtration is a major process used in the energy, gas separation, and water
treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use …
treatment sectors, yet the efficiency of current membranes is limited. Here, we review the use …