What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Organic chemistry
- Electron
Masaki Takata mainly focuses on Crystallography, Nanotechnology, Condensed matter physics, Adsorption and Inorganic chemistry.
Masaki Takata has researched Crystallography in several fields, including X-ray crystallography, Fullerene and Stereochemistry.
The concepts of his Nanotechnology study are interwoven with issues in Thermal expansion, Electrostatics and Composite number.
His biological study spans a wide range of topics, including Coordination polymer, Ligand, Chemical engineering and Porous medium.
In his study, which falls under the umbrella issue of Inorganic chemistry, Desorption is strongly linked to Hydrogen.
His studies deal with areas such as Ion and Metal–insulator transition as well as Crystal structure.
His most cited work include:
- Highly controlled acetylene accommodation in a metal–organic microporous material (1065 citations)
- C66 fullerene encaging a scandium dimer. (496 citations)
- Formation of a one-dimensional array of oxygen in a microporous metal-organic solid (465 citations)
What are the main themes of his work throughout his whole career to date?
Masaki Takata mainly investigates Crystallography, Condensed matter physics, Crystal structure, Diffraction and Powder diffraction.
His Crystallography course of study focuses on Molecule and Adsorption.
His Condensed matter physics research is multidisciplinary, relying on both Ion and Ferroelectricity.
His study in Orthorhombic crystal system and Tetragonal crystal system falls under the purview of Crystal structure.
His studies link Synchrotron with Diffraction.
As part of one scientific family, Masaki Takata deals mainly with the area of Powder diffraction, narrowing it down to issues related to the Charge density, and often Charge.
He most often published in these fields:
- Crystallography (36.14%)
- Condensed matter physics (22.42%)
- Crystal structure (13.72%)
What were the highlights of his more recent work (between 2013-2021)?
- Crystallography (36.14%)
- Nanotechnology (6.79%)
- Chemical engineering (7.88%)
In recent papers he was focusing on the following fields of study:
Masaki Takata mostly deals with Crystallography, Nanotechnology, Chemical engineering, Condensed matter physics and Crystal structure.
His research in Crystallography is mostly concerned with Powder diffraction.
His Nanotechnology research includes themes of Metal and Metal-organic framework.
His work carried out in the field of Chemical engineering brings together such families of science as Molecule, Polymer chemistry and Polymer.
The study incorporates disciplines such as X-ray crystallography and Ferroelectricity in addition to Condensed matter physics.
Masaki Takata combines subjects such as Electron diffraction and Hydrogen with his study of X-ray crystallography.
Between 2013 and 2021, his most popular works were:
- Self-Accelerating CO Sorption in a Soft Nanoporous Crystal (276 citations)
- Thermoresponsive actuation enabled by permittivity switching in an electrostatically anisotropic hydrogel. (271 citations)
- Hydrogen storage in Pd nanocrystals covered with a metal–organic framework (240 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Organic chemistry
- Electron
His primary areas of study are Nanotechnology, Condensed matter physics, Crystallography, Chemical engineering and Hydrogen.
His study in Nanotechnology is interdisciplinary in nature, drawing from both Optoelectronics, Metal and Ferrocene.
His research in Condensed matter physics intersects with topics in X-ray crystallography, Electron, Powder diffraction and Ferroelectricity.
His Crystallography research incorporates elements of Thermoelectric effect, Thermoelectric materials, Diffraction and Phase.
His research integrates issues of Molecule, Organic chemistry and Thermal decomposition in his study of Chemical engineering.
In his research on the topic of Hydrogen, Physical chemistry is strongly related with Catalysis.
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.
