What is he best known for?
The fields of study he is best known for:
- Ecology
- Composite material
- Botany
His primary areas of investigation include Environmental chemistry, Moss, Biomonitoring, Botany and Pollution.
In general Environmental chemistry, his work in Heavy metals is often linked to Radionuclide linking many areas of study.
The various areas that Bernd Markert examines in his Moss study include Fontinalis antipyretica and Horticulture.
His Biomonitoring research includes elements of Water pollution, Marine pollution, Environmental resource management, Environmental monitoring and Bioindicator.
His biological study spans a wide range of topics, including Qualitative inorganic analysis and Polytrichum.
His research in Pollution focuses on subjects like Environmental engineering, which are connected to Grinding, Trace element analysis and Process engineering.
His most cited work include:
- Plants as biomonitors : indicators for heavy metals in the terrestrial environment (309 citations)
- Effects of endocrine disruptors on prosobranch snails (Mollusca: Gastropoda) in the laboratory. Part I: Bisphenol A and octylphenol as xeno-estrogens. (249 citations)
- Bioindicators and biomonitors: principles, concepts and applications. (168 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Composite material, Porous medium, Finite element method, Environmental chemistry and Mechanics.
His research brings together the fields of Molecular dynamics and Composite material.
Porous medium is closely attributed to Viscoelasticity in his work.
The subject of his Finite element method research is within the realm of Structural engineering.
The Environmental chemistry study combines topics in areas such as Moss and Pollution.
He most often published in these fields:
- Composite material (13.73%)
- Porous medium (12.77%)
- Finite element method (12.19%)
What were the highlights of his more recent work (between 2018-2021)?
- Composite material (13.73%)
- Artificial neural network (5.42%)
- Artificial intelligence (4.84%)
In recent papers he was focusing on the following fields of study:
Bernd Markert focuses on Composite material, Artificial neural network, Artificial intelligence, Mechanics and Finite element method.
The Composite material study which covers Quasistatic process that intersects with Tension.
His Artificial neural network research incorporates elements of Gait, Force platform, Ground reaction force and Nonlinear system.
His studies in Mechanics integrate themes in fields like Numerical analysis, Plasticity, Porous medium and Simple shear.
To a larger extent, Bernd Markert studies Porosity with the aim of understanding Porous medium.
In most of his Finite element method studies, his work intersects topics such as Position.
Between 2018 and 2021, his most popular works were:
- Tool wear monitoring of a retrofitted CNC milling machine using artificial neural networks (26 citations)
- Mechanical properties and behavior of glass fiber-reinforced silica aerogel nanocomposites: Insights from all-atom simulations (16 citations)
- Molecular dynamics simulations of silica aerogel nanocomposites reinforced by glass fibers, graphene sheets and carbon nanotubes: A comparison study on mechanical properties (14 citations)
In his most recent research, the most cited papers focused on:
- Ecology
- Composite material
- Botany
His main research concerns Composite material, Artificial neural network, Deformation, Ultimate tensile strength and Finite element method.
His Composite material research is multidisciplinary, incorporating elements of Characterization and Work.
His research integrates issues of Force platform, Computational intelligence and Kinematics in his study of Artificial neural network.
His Ultimate tensile strength research is multidisciplinary, incorporating perspectives in Brittleness, Yield, Relaxation and Fracture.
Bernd Markert combines Finite element method and Orthonormal basis in his studies.
He merges Divergence theorem with Mechanics in his research.
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