What is he best known for?
The fields of study he is best known for:
- Composite material
- Mathematical optimization
- Mechanical engineering
Zhan Kang spends much of his time researching Topology optimization, Mathematical optimization, Optimization problem, Probabilistic-based design optimization and Shape optimization.
The concepts of his Topology optimization study are interwoven with issues in Multi material, Sensitivity, Interpolation, Boundary and Algorithm.
Zhan Kang interconnects Finite element method, Optimal design, Convex analysis, Topology and Mixed model in the investigation of issues within Mathematical optimization.
His studies in Probabilistic-based design optimization integrate themes in fields like Reliability, Stochastic programming, Nonlinear programming and Global optimization.
His work deals with themes such as Computational topology and Topology, which intersect with Shape optimization.
His Topology research is multidisciplinary, incorporating perspectives in Parametric statistics and Metamaterial.
His most cited work include:
- Multifunctional Epidermal Electronics Printed Directly Onto the Skin (500 citations)
- Waterproof AlInGaP optoelectronics on stretchable substrates with applications in biomedicine and robotics (464 citations)
- ROBUST DESIGN OF STRUCTURES USING OPTIMIZATION METHODS (238 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Topology optimization, Topology, Optimization problem, Mathematical optimization and Finite element method.
His Topology optimization research includes themes of Interpolation, Optimal design and Control theory, Sensitivity.
His Boundary and Topology study, which is part of a larger body of work in Topology, is frequently linked to Level set method and Level set, bridging the gap between disciplines.
His Optimization problem research integrates issues from Structural system and Robustness.
Zhan Kang is interested in Probabilistic-based design optimization, which is a branch of Mathematical optimization.
His Finite element method research includes elements of Discretization, Composite material, Buckling and Mechanical engineering.
He most often published in these fields:
- Topology optimization (54.68%)
- Topology (24.46%)
- Optimization problem (23.02%)
What were the highlights of his more recent work (between 2018-2021)?
- Topology optimization (54.68%)
- Topology (24.46%)
- Optimization problem (23.02%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Topology optimization, Topology, Optimization problem, Finite element method and Series expansion.
Zhan Kang performs integrative Topology optimization and Scale research in his work.
His work in the fields of Topology, such as Boundary and Topology, overlaps with other areas such as Level set method.
He has included themes like Mechanical engineering, Parameterized complexity, Stiffness and Buckling in his Finite element method study.
His studies in Series expansion integrate themes in fields like Upper and lower bounds, Reduction, Kriging and Sensitivity.
His research investigates the connection between Reliability and topics such as Mathematical optimization that intersect with issues in Basis.
Between 2018 and 2021, his most popular works were:
- Topology optimization for concurrent design of layer-wise graded lattice materials and structures (19 citations)
- Non-probabilistic uncertainty quantification and response analysis of structures with a bounded field model (19 citations)
- Robust topology optimization of multi-material structures considering uncertain graded interface (15 citations)
In his most recent research, the most cited papers focused on:
- Composite material
- Topology
- Geometry
Zhan Kang mainly focuses on Topology optimization, Topology, Applied mathematics, Optimization problem and Polynomial chaos.
His Topology optimization study improves the overall literature in Finite element method.
Zhan Kang focuses mostly in the field of Topology, narrowing it down to matters related to Homogenization and, in some cases, Representation and Topology.
His studies deal with areas such as Uncertainty quantification, Estimator, Bounded function, Probabilistic logic and Upper and lower bounds as well as Applied mathematics.
His Optimization problem study integrates concerns from other disciplines, such as Reduction, Gradient method, Kriging and Nonlinear system.
His research on Polynomial chaos also deals with topics like
- Function that intertwine with fields like Band gap, Optimal design and Dynamic problem,
- Random field together with Discretization, Mathematical optimization and Basis.
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.
