Eisuke Chikayama
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View article: Estimation of Radiation Damping Rates Using 133Cs, 7Li and 31P Solution NMR Spectroscopy and a Theoretical NMR RASER Model
Estimation of Radiation Damping Rates Using 133Cs, 7Li and 31P Solution NMR Spectroscopy and a Theoretical NMR RASER Model Open
Radio amplification using stimulated emission of radiation (RASER) effects in the NMR can increase NMR signals over time due to a feedback loop between the sample magnetization and the probe coil coupled with radiation damping (RD). Previo…
View article: Parameter Visualization of Benchtop Nuclear Magnetic Resonance Spectra toward Food Process Monitoring
Parameter Visualization of Benchtop Nuclear Magnetic Resonance Spectra toward Food Process Monitoring Open
Low-cost and user-friendly benchtop low-field nuclear magnetic resonance (NMR) spectrometers are typically used to monitor food processes in the food industry. Because of excessive spectral overlap, it is difficult to characterize food mix…
View article: Materials informatics approach using domain modelling for exploring structure–property relationships of polymers
Materials informatics approach using domain modelling for exploring structure–property relationships of polymers Open
View article: Materials Informatics Approach Using Domain Modelling For Exploring Structure-Property Relationships Of Polymers
Materials Informatics Approach Using Domain Modelling For Exploring Structure-Property Relationships Of Polymers Open
In the development of polymer materials, it is an important issue to explore the complex relationships between domain structure and physical properties. In the domain structure analysis of polymer materials, 1 H-static solid-state NMR (ssN…
View article: Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials
Signal Deconvolution and Generative Topographic Mapping Regression for Solid-State NMR of Multi-Component Materials Open
Solid-state nuclear magnetic resonance (ssNMR) spectroscopy provides information on native structures and the dynamics for predicting and designing the physical properties of multi-component solid materials. However, such an analysis is di…
View article: Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time–Frequency Analysis and Probabilistic Sparse Matrix Factorization
Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time–Frequency Analysis and Probabilistic Sparse Matrix Factorization Open
Nuclear magnetic resonance (NMR) spectroscopy is commonly used to characterize molecular complexity because it produces informative atomic-resolution data on the chemical structure and molecular mobility of samples non-invasively by means …
View article: InterSpin: Integrated Supportive Webtools for Low- and High-Field NMR Analyses Toward Molecular Complexity
InterSpin: Integrated Supportive Webtools for Low- and High-Field NMR Analyses Toward Molecular Complexity Open
InterSpin (http://dmar.riken.jp/interspin/) comprises integrated, supportive, and freely accessible preprocessing webtools and a database to advance signal assignment in low- and high-field NMR analyses of molecular complexities ranging fr…
View article: Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals
Exploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals Open
Exploratory machine-learned model can predict the experimental chemical shifts with high accuracy, and the corrected theoretical values can be used to assign NMR signals in molecular complexities.
View article: FoodPro: A Web-Based Tool for Evaluating Covariance and Correlation NMR Spectra Associated with Food Processes
FoodPro: A Web-Based Tool for Evaluating Covariance and Correlation NMR Spectra Associated with Food Processes Open
Foods from agriculture and fishery products are processed using various technologies. Molecular mixture analysis during food processing has the potential to help us understand the molecular mechanisms involved, thus enabling better cooking…
View article: The ECOMICS schematic concept for analysis of relationships between the environment and omics datasets.
The ECOMICS schematic concept for analysis of relationships between the environment and omics datasets. Open
Since the global ecosystem is composed of biodiversity in plant, animal and bacterial systems, our research target is not focused to single species, but accepts matrix datasets measured from complex systems. Experimental data should be com…
View article: A Class of Feature Spaces and Violation of the Triangle Inequality
A Class of Feature Spaces and Violation of the Triangle Inequality Open