Polymeric membranes for industrial applications: Recent progress, challenges and perspectives
Polymeric membranes have become essential in addressing various industrial challenges in
water purification, gas separation, pharmaceuticals, food packaging, protein purification, and …
water purification, gas separation, pharmaceuticals, food packaging, protein purification, and …
Membranes for CO2 capture and separation: Progress in research and development for industrial applications
Industry interest in CO 2 capture and separation has grown almost exponentially over the
past decades. This paper aims to promote membrane technology as a viable solution for this …
past decades. This paper aims to promote membrane technology as a viable solution for this …
Rethinking the pathway to sustainable fire retardants
Flame retardants are currently used in a wide range of industry sectors for saving lives and
property by mitigating fire hazards. The growing fire safety requirements for materials boost …
property by mitigating fire hazards. The growing fire safety requirements for materials boost …
[HTML][HTML] Data-driven predictions of complex organic mixture permeation in polymer membranes
Membrane-based organic solvent separations are rapidly emerging as a promising class of
technologies for enhancing the energy efficiency of existing separation and purification …
technologies for enhancing the energy efficiency of existing separation and purification …
Machine learning exploration of the mobility and environmental assessment of toxic elements in mining-associated solid wastes
C Qi, M Wu, H Liu, Y Liang, X Liu, Z Lin - Journal of Cleaner Production, 2023 - Elsevier
Continuous development of the mining industry has led to the production of large volumes of
solid wastes. Toxic elements (TEs) have been identified in mining-associated solid wastes …
solid wastes. Toxic elements (TEs) have been identified in mining-associated solid wastes …
Deep learning aided inverse design of the buckling-guided assembly for 3D frame structures
Buckling-guided assembly of three-dimensional (3D) mesostructures from pre-defined 2D
precursor patterns has arisen increasing attention, owing to the compelling advantages in …
precursor patterns has arisen increasing attention, owing to the compelling advantages in …
[HTML][HTML] Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language
Advances in machine learning (ML) and automated experimentation are poised to vastly
accelerate research in polymer science. Data representation is a critical aspect for enabling …
accelerate research in polymer science. Data representation is a critical aspect for enabling …
A Wearable Touch‐Activated Device Integrated with Hollow Microneedles for Continuous Sampling and Sensing of Dermal Interstitial Fluid
Dermal interstitial fluid (ISF) is emerging as a rich source of biomarkers that complements
conventional biofluids such as blood and urine. However, the impact of ISF sampling in …
conventional biofluids such as blood and urine. However, the impact of ISF sampling in …
Predicting extraction selectivity of acetic acid in pervaporation by machine learning models with data leakage management
The extraction of acetic acid and other carboxylic acids from water is an emerging
separation need as they are increasingly produced from waste organics and CO2 during …
separation need as they are increasingly produced from waste organics and CO2 during …
Machine‐Learning‐Accelerated Development of Efficient Mixed Protonic–Electronic Conducting Oxides as the Air Electrodes for Protonic Ceramic Cells
Currently, the development of high‐performance protonic ceramic cells (PCCs) is limited by
the scarcity of efficient mixed protonic–electronic conducting oxides that can act as air …
the scarcity of efficient mixed protonic–electronic conducting oxides that can act as air …