Automated Author ProfileRahulkumar SINOJIYA
Rahulkumar SINOJIYA
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The proposed LTP shall enable us to link tightly high-resolution 3D imaging at ID16B with processing to establish more enhanced all solid-state batteries (ASSB). In particular we would like to focus within this LTP on the (1) development of sophisticated design guidelines for ceramic electrolyte blends (Argoyrodites, Nasicons, Garnets, Anti-Perovskites) thereby imaging the architectured 3D morphology in correlation with chemical information for various processing parameters down to 50 nm, (2) improvement of ceramic cathode composites e.g. NCM/LATP or LCM/Argyrodite systems using high resolution 3D morphology characterization in correlation with chemical information down to a resolution of 50 nm, and (3) development of an in-situ setup to witness in a novel ASSB system (composite cathode/ceramic electrolyte blend) the dynamical evolution of the morphology and degradation with cycling. The LTP shall provide the necessary continuous access for high resolution nano-tomography at ID16B.
Authors
- WIJAYA, Andi ;
- CUI, Charlotte ;
- CHAMASEMANI, Fereshteh FALAH ;
- HÄUSLER, Michael ;
- Rahulkumar SINOJIYA ;
- BRUNNER, Roland ;
- VORAUER, Thomas
The proposed LTP shall enable us to link tightly high-resolution 3D imaging at ID16B with processing to establish more enhanced all solid-state batteries (ASSB). In particular we would like to focus within this LTP on the (1) development of sophisticated design guidelines for ceramic electrolyte blends (Argoyrodites, Nasicons, Garnets, Anti-Perovskites) thereby imaging the architectured 3D morphology in correlation with chemical information for various processing parameters down to 50 nm, (2) improvement of ceramic cathode composites e.g. NCM/LATP or LCM/Argyrodite systems using high resolution 3D morphology characterization in correlation with chemical information down to a resolution of 50 nm, and (3) development of an in-situ setup to witness in a novel ASSB system (composite cathode/ceramic electrolyte blend) the dynamical evolution of the morphology and degradation with cycling. The LTP shall provide the necessary continuous access for high resolution nano-tomography at ID16B.
Authors
- CUI, Charlotte ;
- HÄUSLER, Michael ;
- STAMATI, Olga ;
- PRIYA PAULACHAN ;
- Rahulkumar SINOJIYA ;
- BRUNNER, Roland ;
- VORAUER, Thomas