Results 211 to 220 of about 46,823 (313)

Coordinative Ring-Opening Copolymerization of Limonene Carbamate and ε-Caprolactone Toward Phosgene- and Isocyanate-Free Polyesterurethane Block-Copolymers with Tunable Properties. [PDF]

Macromol Rapid Commun
Futter J, Pfaadt H, Rieger B.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Degradable Ureido-Polycarbonate Block Copolymers with a Complex UCST Thermoresponse. [PDF]

Macromol Rapid Commun
Martin-Martin J, Abad M, Lopez de Pariza X, Ezquerra TA, Nogales A, Sardon H, Sebastián V, Oriol L, Piñol M.   +8 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Vinyl ether maleic acid block copolymers: a versatile platform for tunable self-assembled lipid nanodiscs and membrane protein characterization. [PDF]

Polym Chem
Shah MZ, Okorafor E, Rotich NC, Henoch Q, Thapa Acharya R, Page RC, Lorigan GA, Konkolewicz D.   +7 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Highly Thermally Stable and Miscible CO₂‑Based Block Copolymers by the Combination of Ring-Opening and RAFT Copolymerizations through Mediated Hydrogen Bonding Interactions. [PDF]

Macromolecules
Kuan YL, Chiu YC, Ye YS, Kuo SW.
europepmc   +1 more source

Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance

Advanced Intelligent Discovery, EarlyView.
Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen, Tianlong Liu, Chao Lu, Rimsha Malik, Jin Zhang   +4 more
wiley   +1 more source

Hybrid Materials Based on Self-Assembled Block Copolymers and Magnetic Nanoparticles-A Review. [PDF]

Polymers (Basel)
Kortaberria G.
europepmc   +1 more source