[HTML][HTML] Advanced functional membranes based on amphiphilic copolymers
Z Yi, L Zhu, R **ong, C Fang, B Zhu, L Zhu… - Progress in Polymer …, 2024 - Elsevier
Membranes with advanced and novel functions play important roles in emerging
applications ranging from industrial separations, water purification, energy harvesting and …
applications ranging from industrial separations, water purification, energy harvesting and …
Emerging Sustainable Structural Materials by Assembling Cellulose Nanofibers
HB Yang, X Yue, ZX Liu, QF Guan… - Advanced Materials, 2024 - Wiley Online Library
Under the guidance of the carbon peaking and carbon neutrality goals, the urgency for
green ecological construction and the depletion of nonrenewable resources highlight the …
green ecological construction and the depletion of nonrenewable resources highlight the …
Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation
Polymeric membranes have been widely used for liquid and gas separation in various
industrial applications over the past few decades because of their exceptional versatility and …
industrial applications over the past few decades because of their exceptional versatility and …
Recent developments in polymer semiconductors with excellent electron transport performances
Y Zhang, W Zhang, Z Chen, L Wang… - Chemical Society Reviews, 2025 - pubs.rsc.org
Benefiting from molecular design and device innovation, electronic devices based on
polymer semiconductors have achieved significant developments and gradual …
polymer semiconductors have achieved significant developments and gradual …
Superconductor Discovery in the Emerging Paradigm of Materials Informatics
The past two decades have witnessed a tremendous number of computational predictions of
hydride-based (phonon-mediated) superconductors, mostly at extremely high pressures, ie …
hydride-based (phonon-mediated) superconductors, mostly at extremely high pressures, ie …
Design of Recyclable Plastics with Machine Learning and Genetic Algorithm
We present an artificial intelligence-guided approach to design durable and chemically
recyclable ring-opening polymerization (ROP) class polymers. This approach employs a …
recyclable ring-opening polymerization (ROP) class polymers. This approach employs a …
A physics-enforced neural network to predict polymer melt viscosity
Achieving superior polymeric components through additive manufacturing (AM) relies on
precise control of rheology. One key rheological property particularly relevant to AM is melt …
precise control of rheology. One key rheological property particularly relevant to AM is melt …
Emerging advanced membranes for removal of volatile organic compounds during membrane distillation
N Zhang, J Zhang, C Gao, S Yuan, Z Wang - Desalination, 2024 - Elsevier
Membrane distillation (MD), as an emerging desalination and water treatment technology, is
rather promising in addressing the global freshwater scarcity owing to its excellent tolerance …
rather promising in addressing the global freshwater scarcity owing to its excellent tolerance …
Machine Learning Models for Predicting Polymer Solubility in Solvents across Concentrations and Temperatures
Artificial intelligence and machine learning have become essential tools in predicting
material properties to aid in the accelerated design of new materials. Polymer solubility …
material properties to aid in the accelerated design of new materials. Polymer solubility …
Synthesis of Degradable Mainchain Semifluorinated Polyester by CuAAC with Reaction‐Enhanced Reactivity of Intermediate (RERI) Mechanism
J Wu, Z Li, Z Zhou, X Yin, W Hou… - Macromolecular Rapid …, 2025 - Wiley Online Library
Quantitative insertion of functionality into polymer chains via step‐growth polymerization is
challenging due to the random bimolecular reaction and relatively low extent of reaction …
challenging due to the random bimolecular reaction and relatively low extent of reaction …