What is he best known for?
The fields of study he is best known for:
- Composite material
- Statistics
- Artificial intelligence
His scientific interests lie mostly in Composite material, Carbon nanotube, Nanocomposite, Nanotube and Epoxy.
Chuck Zhang is interested in Buckypaper, which is a branch of Carbon nanotube.
His Buckypaper study integrates concerns from other disciplines, such as Nanofiber and Electromagnetic shielding.
His Nanocomposite research incorporates themes from Dynamic mechanical analysis, Thermoplastic and Carbon nanotube actuators.
His research in the fields of Carbon nanotube metal matrix composites overlaps with other disciplines such as Fabrication.
His Epoxy research is multidisciplinary, incorporating perspectives in Single-Walled Nanotube, Curing, Thermal expansion and Polymer.
His most cited work include:
- Processing and property investigation of single-walled carbon nanotube (SWNT) buckypaper/epoxy resin matrix nanocomposites (392 citations)
- Computational and experimental study of interfacial bonding of single-walled nanotube reinforced composites (330 citations)
- Processing, characterization, and modeling of carbon nanotube-reinforced multiscale composites (288 citations)
What are the main themes of his work throughout his whole career to date?
Chuck Zhang spends much of his time researching Composite material, Carbon nanotube, Buckypaper, Nanocomposite and Composite number.
His works in Nanotube, Epoxy, Transfer molding, Ultimate tensile strength and Polymer are all subjects of inquiry into Composite material.
The various areas that Chuck Zhang examines in his Transfer molding study include Process design and Finite element method.
He combines subjects such as Vanadium oxide and Surface modification with his study of Carbon nanotube.
His Buckypaper research includes elements of Proton exchange membrane fuel cell, Actuator and Supercritical fluid.
The study incorporates disciplines such as Curing, Dispersion and Mechanical properties of carbon nanotubes in addition to Nanocomposite.
He most often published in these fields:
- Composite material (56.40%)
- Carbon nanotube (48.40%)
- Buckypaper (24.80%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (13.60%)
- Tissue engineering (2.80%)
- Flow shop scheduling (5.20%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematical optimization, Tissue engineering, Flow shop scheduling, Job shop scheduling and Composite material.
His work in the fields of Mathematical optimization, such as Differential evolution, intersects with other areas such as Set.
His Tissue engineering study also includes fields such as
- Scaffold that intertwine with fields like Biofabrication, Biochemical engineering, Weaving and Textile technology,
- Polycaprolactone that intertwine with fields like Fiber, Cell adhesion, Surface roughness, Electrohydrodynamics and Elastic modulus,
- Electrospinning together with Nanofiber and Biocompatibility.
His Composite material study often links to related topics such as Perspective.
His Composite number study combines topics in areas such as Compression and Deformation.
His studies in Carbon nanotube and Coating are all subfields of Nanotechnology research.
Between 2018 and 2021, his most popular works were:
- A two-stage differential biogeography-based optimization algorithm and its performance analysis (31 citations)
- A hybrid biogeography-based optimization with variable neighborhood search mechanism for no-wait flow shop scheduling problem (28 citations)
- A hybrid discrete water wave optimization algorithm for the no-idle flowshop scheduling problem with total tardiness criterion (15 citations)
In his most recent research, the most cited papers focused on:
- Composite material
- Polymer
- Statistics
Chuck Zhang focuses on Mathematical optimization, Flow shop scheduling, Job shop scheduling, Local search and Local optimum.
He studies Minification which is a part of Mathematical optimization.
Chuck Zhang interconnects Particle swarm optimization, k-nearest neighbors algorithm, Factorial, Benchmark and Variable neighborhood search in the investigation of issues within Local search.
His Variable neighborhood search research is multidisciplinary, relying on both Time complexity, Mutation operator, Biogeography-based optimization and Markov model.
Chuck Zhang has researched Mutation operator in several fields, including Optimization problem and Premature convergence.
Local optimum is a subfield of Algorithm that Chuck Zhang studies.
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