Design of functional and sustainable polymers assisted by artificial intelligence
Artificial intelligence (AI)-based methods continue to make inroads into accelerated
materials design and development. Here, we review AI-enabled advances made in the …
materials design and development. Here, we review AI-enabled advances made in the …
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 …
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 …
Machine learning for the advancement of membrane science and technology: A critical review
Abstract Machine learning (ML) has been rapidly transforming the landscape of natural
sciences and has the potential to revolutionize the process of data analysis and hypothesis …
sciences and has the potential to revolutionize the process of data analysis and hypothesis …
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 …
Gas permeability, diffusivity, and solubility in polymers: Simulation-experiment data fusion and multi-task machine learning
Abstract Machine learning (ML) models for predicting gas permeability through polymers
have traditionally relied on experimental data. While these models exhibit robustness within …
have traditionally relied on experimental data. While these models exhibit robustness within …
[HTML][HTML] Multi-scale design of MOF-based membrane separation for CO2/CH4 mixture via integration of molecular simulation, machine learning and process modeling …
[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 …