What is he best known for?
The fields of study he is best known for:
- Composite material
- Mechanical engineering
- Thermodynamics
Composite material, Tribology, Tribometer, Nanocomposite and Reciprocating motion are his primary areas of study.
His Composite material study frequently draws connections between adjacent fields such as Nanoparticle.
His Tribology research is multidisciplinary, relying on both Creep, Polytetrafluoroethylene, Simulation and Kinematics.
His Tribometer research includes elements of Interferometry and Forensic engineering.
W. Gregory Sawyer combines subjects such as Dry lubricant, Filler and Abrasive with his study of Nanocomposite.
The study incorporates disciplines such as Composite number, Mechanics and Uncertainty analysis in addition to Reciprocating motion.
His most cited work include:
- Super-compressible foamlike carbon nanotube films. (638 citations)
- A study on the friction and wear behavior of PTFE filled with alumina nanoparticles (464 citations)
- Writing in the granular gel medium. (244 citations)
What are the main themes of his work throughout his whole career to date?
W. Gregory Sawyer mostly deals with Composite material, Tribology, Lubrication, Nanotechnology and Polytetrafluoroethylene.
His Composite material study frequently draws connections between related disciplines such as Forensic engineering.
He has researched Tribology in several fields, including Tetrafluoroethylene, Polyethylene and Contact mechanics.
W. Gregory Sawyer works mostly in the field of Lubrication, limiting it down to topics relating to Self-healing hydrogels and, in certain cases, Aqueous solution, as a part of the same area of interest.
His Nanotechnology study frequently links to related topics such as 3D printing.
In his study, which falls under the umbrella issue of Composite number, Mechanics is strongly linked to Reciprocating motion.
He most often published in these fields:
- Composite material (44.39%)
- Tribology (31.22%)
- Lubrication (15.61%)
What were the highlights of his more recent work (between 2015-2021)?
- Composite material (44.39%)
- Contact mechanics (7.80%)
- Biophysics (5.37%)
In recent papers he was focusing on the following fields of study:
Composite material, Contact mechanics, Biophysics, Tribology and Nanotechnology are his primary areas of study.
His work in the fields of Composite material, such as Polymer, overlaps with other areas such as Orders of magnitude.
His studies in Contact mechanics integrate themes in fields like Indentation, Contact area and Elastic modulus.
His work investigates the relationship between Biophysics and topics such as Contact lens that intersect with problems in Mechanotransduction, Shear, Lens and Reciprocating motion.
His Tribology research is multidisciplinary, incorporating perspectives in Evolutionary biology, Polyacrylamide Hydrogel and Engineering ethics.
The Nanotechnology study combines topics in areas such as Copolymer and 3D printing.
Between 2015 and 2021, his most popular works were:
- Meeting the Contact-Mechanics Challenge (144 citations)
- Self-assembled micro-organogels for 3D printing silicone structures (95 citations)
- Liquid-like Solids Support Cells in 3D (58 citations)
In his most recent research, the most cited papers focused on:
- Composite material
- Mechanical engineering
- Thermodynamics
W. Gregory Sawyer spends much of his time researching 3D printing, Rheology, Nanotechnology, Tribology and Polymer.
Limiting, Robustness, Mechanics, Surface tension and Turbulence is closely connected to Nozzle in his research, which is encompassed under the umbrella topic of 3D printing.
His Rheology study incorporates themes from Three dimensional printing, Deposition and Soft matter.
His research in Nanotechnology intersects with topics in Instability, Body force and Inertial frame of reference.
The various areas that W. Gregory Sawyer examines in his Tribology study include Evolutionary biology, Wear measurement and Grinding.
His biological study spans a wide range of topics, including Jamming, Yield, Stress and Chemical physics.
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.
