Results 231 to 240 of about 110,652 (300)

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

The Self-Assembly, Thermoresponsive Properties, and Potential Biomedical Relevance of Proline-Tryptophan Derived Polynorbornene Block Copolymer Micelles. [PDF]

ACS Omega
Sutthasupa S, Thisan S, Wangngae S, Pankaew A, Kumphune S.   +4 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

Rapid Assembly of Block Copolymer Thin Films via Accelerating the Swelling Process During Solvent Annealing. [PDF]

Polymers (Basel)
Shui TE, Chang T, Wang Z, Huang H.
europepmc   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

Synthetic Band Structure Engineering of Graphene Using Block Copolymer-Templated Dielectric Superlattices. [PDF]

ACS Nano
Jamalzadeh M, Zhang Z, Huang Z, Manzo-Perez M, Kisslinger K, Taniguchi T, Watanabe K, Moon P, Doerk GS, Shahrjerdi D.   +9 more
europepmc   +1 more source

Research Trends in the Development of Block Copolymer-Based Biosensing Platforms. [PDF]

Biosensors (Basel)
Chung YH, Oh JK.
europepmc   +1 more source

Influence of the Saccharide Structure on Cargo Loading, Thermal Properties, and Lectin Binding of Amphiphilic Glycopolymer-Polylactic Acid Block Copolymer Nanoparticles. [PDF]

Bioconjug Chem
Green KA, Kulkarni AS, Jankoski PE, Worden RM, Loving BM, Derbigny B, Clemons TD, Watkins DL, Morgan SE.   +8 more
europepmc   +1 more source

Turning Microstructure in Block Copolymer Membranes: A Facile Strategy to Improve CO₂ Separation Performance. [PDF]

Adv Sci (Weinh)
Wei J, Deng M, Qin Z, Zhao W, Li Y, Selyanchyn R, Zhao H, Dong J, Yin D, Zhuang Y, Deng L, Yang L, Yao L, Jiang W, Zheng J, Van der Bruggen B, Dai Z.   +16 more
europepmc   +1 more source