What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Mechanical engineering
- Composite material
Kon-Well Wang mostly deals with Bistability, Control theory, Energy harvesting, Composite material and Nanocomposite.
His Bistability research includes elements of Excitation, Stiffness and Topology.
His Control theory research is multidisciplinary, relying on both Vibration, Noise and Dynamics.
Many of his studies involve connections with topics such as Electricity generation and Energy harvesting.
Kon-Well Wang combines subjects such as Electronic engineering, Bandwidth, Electrical engineering and Electric power with his study of Electricity generation.
His studies in Nanocomposite integrate themes in fields like Electrical impedance tomography, Composite number, Carbon nanofiber and Epoxy.
His most cited work include:
- A review of the recent research on vibration energy harvesting via bistable systems (833 citations)
- Variable Stiffness Structures Utilizing Fluidic Flexible Matrix Composites (99 citations)
- Programmable Self-Locking Origami Mechanical Metamaterials. (79 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Bistability, Control theory, Nonlinear system, Vibration and Composite material.
His Bistability study integrates concerns from other disciplines, such as Energy harvesting, Excitation, Stiffness and Electronic engineering.
Energy harvesting is closely attributed to Electricity generation in his work.
His work is dedicated to discovering how Electronic engineering, Topology are connected with Broadband and other disciplines.
The concepts of his Nonlinear system study are interwoven with issues in Amplitude and Harmonic.
The various areas that Kon-Well Wang examines in his Vibration study include Electrical network, Mechanics, Structural engineering and Electronic circuit.
He most often published in these fields:
- Bistability (25.12%)
- Control theory (22.17%)
- Nonlinear system (19.70%)
What were the highlights of his more recent work (between 2017-2021)?
- Bistability (25.12%)
- Metamaterial (8.37%)
- Nonlinear system (19.70%)
In recent papers he was focusing on the following fields of study:
Kon-Well Wang mainly focuses on Bistability, Metamaterial, Nonlinear system, Topology and Optoelectronics.
His Bistability study combines topics in areas such as Kinematics, Vibration, Multistability, Condensed matter physics and Stiffness.
His studies deal with areas such as Energy harvesting and Control theory as well as Vibration.
His work on Vibration energy harvesting as part of his general Energy harvesting study is frequently connected to Adaptive potential, thereby bridging the divide between different branches of science.
The Nonlinear system study combines topics in areas such as Amplitude, Transmission and Band gap.
His biological study spans a wide range of topics, including Electric power transmission, Electronic engineering and Control reconfiguration.
Between 2017 and 2021, his most popular works were:
- Programmable Self-Locking Origami Mechanical Metamaterials. (79 citations)
- Architected Origami Materials: How Folding Creates Sophisticated Mechanical Properties (61 citations)
- Metastable modular metastructures for on-demand reconfiguration of band structures and nonreciprocal wave propagation. (30 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Mechanical engineering
- Composite material
Bistability, Topology, Optoelectronics, Multistability and Control reconfiguration are his primary areas of study.
His study on Bistability is covered under Control theory.
The study incorporates disciplines such as Electronic engineering, Electric power transmission and Nonlinear system in addition to Topology.
His work deals with themes such as Lattice and Structural health monitoring, which intersect with Optoelectronics.
His research in Multistability intersects with topics in Coupling, Condensed matter physics and Dynamics.
His Control reconfiguration research integrates issues from Wave propagation, Piecewise and Metamaterial.
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.
