Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Towards renewables development: Review of optimization techniques for energy storage and hybrid renewable energy systems. [PDF]
Bamisile O +7 more
europepmc +1 more source
This review highlights recent advancements in stabilizing single metal atoms on graphitic carbon nitride emphasizing innovative synthesis strategies and emerging applications in electrocatalysis, photocatalysis and organic transformations, along with key challenges and future perspective. Abstract Emerging as a new frontier in catalysis science, single‐
Wenyao Zhang +6 more
wiley +1 more source
An information gap decision theory and improved gradient-based optimizer for robust optimization of renewable energy systems in distribution network. [PDF]
Duan F +5 more
europepmc +1 more source
This review explores inorganic metal oxides and metal salt nanoparticles templated porous carbons, highlighting their synthesis, structural features, and performance in energy and environmental applications. It critically compares template types, porosity control, and functional outcomes across recent literature.
Gurwinder Singh +8 more
wiley +1 more source
Design and development of different adaptive MPPT controllers for renewable energy systems: a comprehensive analysis. [PDF]
Eswaraiah B, Balakrishna K.
europepmc +1 more source
Grain‐like Zr3+‐ZrO2 and Pt single atoms are integrated into an S‐scheme Zr3+‐ZrO2@g‐C3N4 heterostructure to enable efficient visible‐light‐driven seawater hydrogen production. The combined effect of Pt single‐atom sites and the S‐scheme charge‐transfer pathway accelerates carrier separation, preserves strong redox ability, and markedly enhances ...
Hezheng Sun +8 more
wiley +1 more source
A hybrid deep learning approach to solve optimal power flow problem in hybrid renewable energy systems. [PDF]
Gurumoorthi G +3 more
europepmc +1 more source
Phase Diagrams and Piezoelectric Properties of Wurtzite Al1−x−yScxGdyN Heterostructural Alloys
This study demonstrates ferroelectricity and piezoelectric properties improvement of quaternary wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films, guided by density functional theory calculations. Wurtzite Al1−x−yScxGdyN${\rm Al}_{1-x-y}{\rm Sc}_x{\rm Gd}_y{\rm N}$ films have a high optical bandgap, enhanced piezoelectric ...
Julia L. Martin +11 more
wiley +1 more source
Artificial intelligence-based power market price prediction in smart renewable energy systems: Combining prophet and transformer models. [PDF]
Huang C +5 more
europepmc +1 more source

