[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 …

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 …

Machine Learning-Aided Inverse Design and Discovery of Novel Polymeric Materials for Membrane Separation

R Dangayach, N Jeong, E Demirel, N Uzal… - Environmental …, 2024 - ACS Publications
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 …

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 …

Superconductor Discovery in the Emerging Paradigm of Materials Informatics

H Tran, HC Dam, C Kuenneth, V Ngoc Tuoc… - Chemistry of …, 2024 - ACS Publications
The past two decades have witnessed a tremendous number of computational predictions of
hydride-based (phonon-mediated) superconductors, mostly at extremely high pressures, ie …

Design of Recyclable Plastics with Machine Learning and Genetic Algorithm

C Atasi, J Kern, R Ramprasad - Journal of Chemical Information …, 2024 - ACS Publications
We present an artificial intelligence-guided approach to design durable and chemically
recyclable ring-opening polymerization (ROP) class polymers. This approach employs a …

A physics-enforced neural network to predict polymer melt viscosity

A Jain, R Gurnani, A Rajan, HJ Qi… - arxiv preprint arxiv …, 2024 - arxiv.org
Achieving superior polymeric components through additive manufacturing (AM) relies on
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 …

Machine Learning Models for Predicting Polymer Solubility in Solvents across Concentrations and Temperatures

M Amrihesari, J Kern, H Present… - The Journal of …, 2024 - ACS Publications
Artificial intelligence and machine learning have become essential tools in predicting
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 …