Automated Author ProfilePriya, Vashishta
Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA
Priya, Vashishta
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: 1.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition".neutron_data.zip --> neutron data in .nxspe form. S(Q,E) calculated using the DAVE software. Includes logbook spreadsheet. Training_Data.xyz --> xyz file containing training data used to generate Allegro machine learning forcefield in the papernh3_pimd.deploy --> Trained Allegro model to that can be used in LAMMPS and RXMD software a ML forcefield POSCAR_UNIT_CELL_AMMONIA --> NH3 unit cell in solid phase in POSCAR format that can be read by the VASP software used to perform the DFT simmulations.
Authors
- Linker, Thomas ;
- Aravind, Krishnamoorthy ;
- Damen, Luke ;
- Ramirez-Cuesta, A.J ;
- Nomura, Ken-ichi ;
- Nakano, Aiichiro ;
- Cheng, Y.Q ;
- Hicks, Robby ;
- Kolesnikov, Alexander ;
- Priya, Vashishta
Data for "Neutron scattering and neural-network quantum molecular dynamics investigation of the vibrations of ammonia along the solid-to-liquid transition".neutron_data.zip --> neutron data in .nxspe form. S(Q,E) calculated using the DAVE software. Includes logbook spreadsheet. Training_Data.xyz --> xyz file containing training data used to generate Allegro machine learning forcefield in the papernh3_pimd.deploy --> Trained Allegro model to that can be used in LAMMPS and RXMD software a ML forcefield POSCAR_UNIT_CELL_AMMONIA --> NH3 unit cell in solid phase in POSCAR format that can be read by the VASP software used to perform the DFT simmulations.
Authors
- Linker, Thomas ;
- Aravind, Krishnamoorthy ;
- Damen, Luke ;
- Ramirez-Cuesta, A.J ;
- Nomura, Ken-ichi ;
- Nakano, Aiichiro ;
- Cheng, Y.Q ;
- Hicks, Robby ;
- Kolesnikov, Alexander ;
- Priya, Vashishta