All Stories

  1. Fusarium-responsive materials: A next-generation strategy for sensing, actuation, and sustainable crop protection
  2. Cold Sintering of Hydrogels: Opportunities and Roadmap for a Nascent Field
  3. Cold sintering for quantum ceramics: A low-temperature route to topological and spin–orbit-coupled materials
  4. Cold-sintered hybrid nanostructures for biomedical drug delivery: A nanomanufacturing pathway toward clinical translation
  5. Polymeric Hydrogels in Agriculture: Environmental Performance, Sustainability Challenges, and Future Perspectives
  6. The measurement and improvement of tensile strength in cold-sintered zinc oxide
  7. The future of the cold sintering process: Challenges, opportunities, and innovations
  8. The Mechanical and Tribological Properties of ZnO/MoS2 Nanocomposite Fabricated by Cold Sintering
  9. Preparation and properties of bulk ZnO/MoS2 nanocomposite by cold sintering process with three-component solvent
  10. The Mechanical and Tribological Properties of ZnO/MoS <sub>2</sub> Nanocomposite Fabricated by Cold Sintering
  11. Multifunctional gelatin–tricalcium phosphate porous nanocomposite scaffolds for tissue engineering and local drug delivery: In vitro and in vivo studies
  12. Fast synthesis of methacrylated graphene oxide: a graphene-functionalised nanostructure
  13. On the role of applying groove pressing technique before friction stir processing of copper: microstructure and mechanical evaluation
  14. Synthesis and microstructural characterization of GelMa/PEGDA hybrid hydrogel containing graphene oxide for biomedical purposes
  15. GelMa/PEGDA containing graphene oxide as an IPN hydrogel with superior mechanical performance
  16. The Effect of Stirring Rate on Electrodeposition of Nanocrystalline Nickel Coatings and their Corrosion Behaviors and Mechanical Characteristics
  17. The Effect of Direct and Cross-Rolling on Mechanical Properties and Microstructure of Severely Deformed Aluminum
  18. Modeling the correlation between heat treatment, chemical composition and bainite fraction of pipeline steels by means of artifcial neural networks