Results 121 to 130 of about 166,145,672 (253)
A Departure Function-Based Method to Determine the Effect of the Oil Circulation Ratio on the Performance of Vapor Compression Refrigeration Systems [PDF]
A method to estimate the performance of single-stage vapor compression refrigeration systems as a function of the oil circulation ratio is presented. The model is based on the Peng-Robinson equation of state and on the theory of departure functions to ...
Barbosa Jr., Jader +1 more
core
Light‐Gated Control of Brownian Rotation by a Molecular Motor
A light‐driven molecular motor acts as a reversible steric gate for a nearby Brownian rotor. Photoisomerization switches the rotor between fast and hindered rotational regimes by modulating steric congestion around the rotational axis. The motor–rotor architecture enables a five‐order‐of‐magnitude difference in the rotational barrier, demonstrating ...
Lukáš Severa +7 more
wiley +2 more sources
Melt-quenched carboxylate metal–organic framework glasses
Although carboxylate-based frameworks are commonly used architectures in metal-organic frameworks (MOFs), liquid/glass MOFs have thus far mainly been obtained from azole- or weakly coordinating ligand-based frameworks. This is because strong coordination
Minhyuk Kim +5 more
doaj +1 more source
Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu +4 more
wiley +1 more source
Fusion of optical and radar remote sensing data: Munich city example [PDF]
Fusion of optical and radar remote sensing data is becoming an actual topic recently in various application areas though the results are not always satisfactory.
Palubinskas, Gintautas, Reinartz, Peter
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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 +1 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
This paper reports that low-temperature heat capacities of N-methylnorephedrine C11H17NO(s) have been measured by a precision automated adiabatic calorimeter over the temperature range from T=78 K to T=400 K.
Shi Quan +4 more
core
Industrial biomass combustion fly ash has been investigated as a precursor for zeolites with a view to evaluate the potential for adsorption of CO2. The synthesis methodology has been optimised via Design of Experiment by employing a Taguchi L9 array ...
Ben Petrovic +2 more
doaj +1 more source
Recent advances in TiO2 modification strategies: structure regulation and composite engineering for improved activity and functionality. TiO2 has emerged as a pivotal catalyst for enhancing MgH2, a high‐capacity solid‐state hydrogen storage material, owing to its structural versatility.
Xiaopeng Chu +10 more
wiley +1 more source

