What is he best known for?
The fields of study he is best known for:
- Composite material
- Polymer
- Organic chemistry
The scientist’s investigation covers issues in Composite material, Nanocomposite, Tribology, Epoxy and Nanoparticle.
His study involves Scanning electron microscope, Fracture toughness, Polymer, Ultimate tensile strength and Carbon nanotube, a branch of Composite material.
His Carbon nanotube research is multidisciplinary, incorporating perspectives in Nanoscopic scale and Piezoresistive effect.
Zhong Zhang combines subjects such as Fractography, Toughness and Glass transition with his study of Nanocomposite.
His biological study spans a wide range of topics, including Frictional coefficient, Graphite, Polymer composites and Polyetherimide.
His Nanoparticle research integrates issues from Polyamide and Thermosetting polymer.
His most cited work include:
- Effects of various fillers on the sliding wear of polymer composites (460 citations)
- Artificial neural networks applied to polymer composites: a review (365 citations)
- Property improvements of in situ epoxy nanocomposites with reduced interparticle distance at high nanosilica content (362 citations)
What are the main themes of his work throughout his whole career to date?
Zhong Zhang mainly investigates Composite material, Nanocomposite, Epoxy, Nanoparticle and Polymer.
His research on Composite material frequently links to adjacent areas such as Graphene.
Zhong Zhang works mostly in the field of Nanocomposite, limiting it down to concerns involving Creep and, occasionally, Viscoelasticity.
His Epoxy research includes elements of Glass transition, Fiber, Fracture, Scanning electron microscope and Fracture toughness.
His Polymer study combines topics from a wide range of disciplines, such as Electrical conductor and Thermal conductivity.
His Carbon nanotube study integrates concerns from other disciplines, such as Microstructure and Deformation.
He most often published in these fields:
- Composite material (81.44%)
- Nanocomposite (34.02%)
- Epoxy (24.23%)
What were the highlights of his more recent work (between 2018-2021)?
- Composite material (81.44%)
- Graphene (22.68%)
- Polymer (22.68%)
In recent papers he was focusing on the following fields of study:
Zhong Zhang mostly deals with Composite material, Graphene, Polymer, Nanocomposite and Nanotechnology.
His research on Composite material often connects related topics like Metal.
His research in Graphene intersects with topics in Modulus, Oxide, van der Waals force and Flexural rigidity.
Zhong Zhang has included themes like Optoelectronics, Piezoresistive effect, Lithium niobate and Structural health monitoring in his Nanocomposite study.
The concepts of his Nanotechnology study are interwoven with issues in Adhesion and Microstructure.
The study incorporates disciplines such as Tribology, Thermal conduction, Microelectronics and Ultimate tensile strength in addition to Thermal conductivity.
Between 2018 and 2021, his most popular works were:
- Strain Engineering of 2D Materials: Issues and Opportunities at the Interface (135 citations)
- Bending of Multilayer van der Waals Materials. (42 citations)
- Bending of Multilayer van der Waals Materials. (42 citations)
In his most recent research, the most cited papers focused on:
- Composite material
- Polymer
- Organic chemistry
His primary areas of investigation include Composite material, Graphene, Electrical conductor, Polymer and Flexural rigidity.
In his research, he undertakes multidisciplinary study on Composite material and Conductivity.
His biological study spans a wide range of topics, including Nanoporous, Latent heat and Process engineering.
The study incorporates disciplines such as Fused deposition modeling, Thermal conductivity, Microelectronics, Boron nitride and Thermal conduction in addition to Electrical conductor.
His Polymer research is multidisciplinary, relying on both Nanotechnology, Thermal stability and Thermoplastic polyurethane.
His studies in Flexural rigidity integrate themes in fields like Modulus, Plate theory, Deflection and Molybdenum disulfide.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
