Results 201 to 210 of about 4,932,043 (277)

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

Achieving Low Dielectric Loss and High Humidity Stability Polyimide Through the Synergistic Effect of Copolymer Monomer Optimization and Aggregation State Regulation. [PDF]

Polymers (Basel)
Kang X, Liu C, Wu H, Bei R, Liu S, Zhang Y.   +5 more
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

pH-/Temperature-Triggered Gel Transition of Hyperbranched PEI-g-PDMAEMA as a Dual-Responsive Inhibitor for Clay Hydration Control. [PDF]

Gels
Zhong M, Xiong Y.
europepmc   +1 more source

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source

Tunable Raman Scattering of Fe(II) Coordination Networks With Magnetic Fields

Angewandte Chemie, EarlyView.
Four heavy Hg(II) coordination networks with paramagnetic Fe(II) sites reveal strong and halogen‐tunable low‐frequency (LF) sub‐terahertz phonons and field‐dependent magnetic transitions. LF phonon spectroscopy and Raman magnetospectroscopy are powerful probes of structure, low‐energy vibration, zero‐field splitting, and spin–phonon coupling supported ...
Guanping Li, Olaf Stefanczyk, Joseph M. Flitcroft, Jonathan M. Skelton, William T. Morrillo, Meagan Oakley, Lulu Xiong, Koji Nakabayashi, Dmitry Smirnov, Komalavalli Thirunavukkuarasu, Mykhaylo Ozerov, Shin‐ichi Ohkoshi, Nicholas F. Chilton   +12 more
wiley   +2 more sources

Peripheral Dendritic Functionalization Effects on the Self-Assembly and Thermoresponsive Behavior of Nonionic Amphiphilic Linear-Dendritic Block Copolymers in Aqueous Media. [PDF]

Macromolecules
Martín-Martín J, Folch-Cirujeda L, Yus C, Nogales A, Ezquerra TA, Abad M, Sebastián V, Oriol L, Piñol M.   +8 more
europepmc   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

Diblock Copolymer Nanoparticles Act as Nanoreactors for the Synthesis of Sterically‐Stabilized Inorganic Oxide Particles in Non‐polar Media

Angewandte Chemie, EarlyView.
Poly(lauryl methacrylate)‐poly(2‐hydroxyethyl methacrylate) (PLMA‐PHEMA) diblock copolymer nanoparticles prepared in non‐polar media serve as nanoreactors for the in situ synthesis of silica from tetraethyl orthosilicate (TEOS). A silica mass loading of 17% as judged by thermogravimetric analysis (TGA) produces a highly transparent dispersion, and ...
Priyanka Chohan, Andi Xie, Oleksandr O. Mykhaylyk, Steven P. Armes, Giles M. Prentice, David J. Atkinson, Andrew J. Smith   +6 more
wiley   +2 more sources

Mechanical Robustness and Conductivity Retention in Ti <b>₃</b> C <b>₂</b> MXene-Enhanced Electrodes on Flexible Substrates. [PDF]

ACS Omega
Sathyanarayanan S, Grace AN.
europepmc   +1 more source