Results 181 to 190 of about 5,052 (277)

Hybridization of Homogeneous and Heterogeneous Catalysis to Develop a Novel Biocatalyst via Immobilization of Lipase on Surface Modified Mesoporous Silica Towards Biodiesel Synthesis Application

Advanced Energy and Sustainability Research, EarlyView.
The 3‐(methacryloyloxy)propyltrimethoxysilane surface functionalized SBA‐15 (MP‐SBA‐15) is used for the first time as a lipase carrier. The immobilized CAL‐B exhibits high thermal stability and superior catalytic activity. CAL‐B/SBA‐15 suggests that optimum hydrophobicity gives better catalytic activity.
Murugappan N., Ayumi Sato, Jiachen Ge, Arisa Yamada, Makoto Onaka, Yuki Nakamura, Masaru Ogura   +6 more
wiley   +1 more source

A low-carbon economic dispatch method for regional integrated energy system based on multi-objective chaotic artificial hummingbird algorithm. [PDF]

Sci Rep
Cao J, Yang Y, Qu N, Xi Y, Guo X, Dong Y.   +5 more
europepmc   +1 more source

Green Anaconda Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems. [PDF]

Biomimetics (Basel), 2023
Dehghani M, Trojovský P, Malik OP.
europepmc   +1 more source

Mixed‐Phase TiO2 Nanotubes Enhance Ru Nanoparticle Activity for Hydrogen Evolution in pH‐Neutral Electrolytes

Advanced Energy and Sustainability Research, EarlyView.
Efficient water electrolysis in NaBr electrolyte is achieved using TiO2 nanotube supports decorated with Ru nanoparticles. A cooperative “job‐sharing” effect between the TiO2 proton‐storage support that provides protons to the Ru catalyst enhances hydrogen evolution, minimizes Ru demand and polarization losses, and delivers stable performance ...
Matan Sananis, Elena Davydova, Anna Breytus, Avner Rothschild   +3 more
wiley   +1 more source

Data‐Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data

Advanced Intelligent Systems, EarlyView.
Hydrothermal synthesis records for rare‐earth compounds are repurposed to learn mineralization rules. An extreme gradient boosting model ingests precursors, additives, and engineered descriptors to predict product phases, crystallization temperature, and pH. Feature importance indicates dominant thermodynamic control with kinetic modulation, suggesting
Juejing Liu, Xiaoxu Li, Yifu Feng, Zheming Wang, Kevin M. Rosso, Xiaofeng Guo, Xin Zhang   +6 more
wiley   +1 more source

Zinc and Strontium‐Doped Titania Nanotube Surfaces Enhance Antibacterial Activity and Increase Osteogenic Differentiation of Mesenchymal Stem Cells

Advanced NanoBiomed Research, EarlyView.
Bacterial infection and poor integration often lead to orthopedic implant failure. Modifying implant surfaces can improve osseointegration. Titanium has been engineered to form titania nanotubes doped with zinc and strontium. These surfaces were evaluated for antibacterial effects and their ability to promote osteogenic differentiation in stem cells ...
Abhishek Bhattacharjee, Aniruddha Vijay Savargaonkar, Bruno L. Pereira, Paulo Soares, Ketul C. Popat   +4 more
wiley   +1 more source

Remote science at sea with remotely operated vehicles. [PDF]

Front Robot AI
Mirmalek Z, Raineault NA.
europepmc   +1 more source

Machine learning-driven geochemical fingerprinting and risk characterization of mineral dust across different operational settings in El-Gedida Iron Mine, Egypt. [PDF]

Environ Geochem Health
Mostafa MT, Abdelaal A, Osman MSM, Farhat HI, Zakaria MY, Abu Elwafa RY, Abd El-Bakey SM.   +6 more
europepmc   +1 more source

Sustainable Ammonia Electrosynthesis Coupled With Glycerol Valorization via an Adaptive Tri‐Component Catalyst

Angewandte Chemie International Edition, EarlyView.
A Cu‐Ni‐W tri‐component catalyst enables efficient nitrate‐to‐ammonia conversion under pulsed electrolysis. Combined experimental and theoretical studies attribute its performance to component synergism and regulated intermediates. Its facile adaptation for glycerol valorization to formic acid underscores a versatile system design concept, advancing ...
Christean Nickel, David Leander Troglauer, Chia‐Yu Chang, Tiansheng Bai, Tobias Rios‐Studer, Ingo Lieberwirth, Kevin Sowa, Boris Mashtakov, Bahareh Feizi Mohazzab, Lijie Ci, Deping Li, Xiaohang Lin, Bing Joe Hwang, Rongji Liu, Dandan Gao   +14 more
wiley   +1 more source

Novel multiagent reinforcement learning framework using twin delayed deep deterministic policy gradient for adaptive PID control in boiler turbine systems. [PDF]

Sci Rep
Kruthika U, Paneerselvam S.
europepmc   +1 more source