What is he best known for?
The fields of study he is best known for:
- Oxygen
- Organic chemistry
- Hydrogen
Crystallography, Thin film, X-ray crystallography, Inorganic chemistry and Nanotechnology are his primary areas of study.
His study in Crystallography is interdisciplinary in nature, drawing from both Crystallization, Epitaxy, Nanoparticle, Phase and Synchrotron.
His work carried out in the field of Thin film brings together such families of science as Ferroelectricity, Acrylate, Annealing, Composite material and Solid-state chemistry.
X-ray crystallography is a subfield of Diffraction that Osami Sakata explores.
His Inorganic chemistry research includes elements of Coordination polymer, Molecule, Crystal and Copper.
His research integrates issues of Sorption, Polymer, Metal-organic framework, Porous medium and Crystallinity in his study of Nanotechnology.
His most cited work include:
- Surface nano-architecture of a metal–organic framework (514 citations)
- Shape-Memory Nanopores Induced in Coordination Frameworks by Crystal Downsizing (299 citations)
- Mesoscopic architectures of porous coordination polymers fabricated by pseudomorphic replication (260 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Crystallography, Thin film, Diffraction, X-ray crystallography and Epitaxy.
His Crystallography study incorporates themes from Layer, Annealing, Phase and Lattice constant.
His Thin film study combines topics in areas such as Optoelectronics, Substrate, Composite material and Analytical chemistry.
His work in Diffraction addresses subjects such as Condensed matter physics, which are connected to disciplines such as Ferroelectricity and Piezoelectricity.
His biological study spans a wide range of topics, including Nanoparticle and Surface.
Osami Sakata has included themes like Tetragonal crystal system and Crystal in his Epitaxy study.
He most often published in these fields:
- Crystallography (34.55%)
- Thin film (32.93%)
- Diffraction (28.89%)
What were the highlights of his more recent work (between 2018-2021)?
- Nanoparticle (12.12%)
- Condensed matter physics (16.77%)
- Diffraction (28.89%)
In recent papers he was focusing on the following fields of study:
His main research concerns Nanoparticle, Condensed matter physics, Diffraction, Thin film and Phase.
His Condensed matter physics research includes elements of Piezoelectricity, Epitaxy, Ferroelectricity and Neutron scattering.
The Ferroelectricity study which covers Tetragonal crystal system that intersects with Orthorhombic crystal system.
Osami Sakata works in the field of Diffraction, namely X-ray crystallography.
His Thin film research incorporates themes from Optoelectronics, Crystal structure and Analytical chemistry.
His Ion study which covers Electronic band structure that intersects with Crystallography.
Between 2018 and 2021, his most popular works were:
- Colossal barocaloric effects in plastic crystals (69 citations)
- Effects of heat treatment and in situ high-temperature X-ray diffraction study on the formation of ferroelectric epitaxial Y-doped HfO2 film (13 citations)
- Understanding diffraction patterns of glassy, liquid and amorphous materials via persistent homology analyses (12 citations)
In his most recent research, the most cited papers focused on:
- Oxygen
- Organic chemistry
- Hydrogen
Osami Sakata focuses on Nanoparticle, Crystallography, Thin film, Absorption and Hydrogen storage.
His Crystallography research incorporates elements of Persistent homology and Magnetic circular dichroism.
The various areas that he examines in his Thin film study include Crystal structure, Band gap, Spinel, Substrate and Non-blocking I/O.
The study incorporates disciplines such as Ion and Analytical chemistry in addition to Band gap.
The Absorption study combines topics in areas such as Reverse Monte Carlo, Coordination number, Electronic structure and Lattice constant.
Osami Sakata interconnects X-ray crystallography, Type, Chemical bond and Ferroelectricity in the investigation of issues within Phase.
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.
