Results 241 to 250 of about 463,502 (342)
Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue+5 more
wiley +1 more source
The nano-paradox: addressing nanotoxicity for sustainable agriculture, circular economy and SDGs. [PDF]
Rajpal VR+8 more
europepmc +1 more source
This review discusses recent innovations in electrochemical CO2 reduction reactions (eCO2RR) and hydrogen evolution reaction cell designs. The latest advancements in in situ cells for operando characterization are also presented. Optimizations in flow patterns, membrane electrode assemblies, electrolyte engineering, and counter‐anodic reactions provide
Zhangsen Chen+3 more
wiley +1 more source
Closing the Loop for Packaging: Finding a Framework to Operationalize Circular Economy Strategies
Monia Niero, Michael Zwicky Hauschild
openalex +1 more source
Success Factors of Sustainable Social Enterprises Through Circular Economy Perspective [PDF]
Dumitru Stratan
openalex +1 more source
It provides an overview of the synthesis of organic/inorganic nanocomposites, spanning from conventional methods to advanced 3D printing techniques. It summarizes key challenges in 3D‐printed nanocomposites and highlights emerging innovations, including 5D printing, AI‐assisted material design, nanoscale additive manufacturing, and sustainable closed ...
Liwen Zhang+8 more
wiley +1 more source
Banana Peel Based Cellulose Material for Agriculture and Aquiculture: Toward Circular Economy. [PDF]
Serratos IN+10 more
europepmc +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu+9 more
wiley +1 more source
Resilience of the circular economy to global disruptions in scrap recycling. [PDF]
Li X+5 more
europepmc +1 more source