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[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 …
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 …
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 …
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 rheological property particularly relevant to AM is melt …
precise control of rheology. One rheological property particularly relevant to AM is melt …
Rationally Designed High-Temperature Polymer Dielectrics for Capacitive Energy Storage: An Experimental and Computational Alliance
Polymer-based electrostatic capacitors find critical use in high-temperature applications
such as electrified aircraft, automobiles, space exploration, geothermal/nuclear power …
such as electrified aircraft, automobiles, space exploration, geothermal/nuclear power …
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 …
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 …
Smart polymers advance analytical chemistry
Y Zhang, X Zhao, G Qing - TrAC Trends in Analytical Chemistry, 2025 - Elsevier
The" precision medicine" project put forward higher requirements for analytical chemistry,
centering on new material development. Given the increasing diversity of complex samples …
centering on new material development. Given the increasing diversity of complex samples …