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Any information necessary to help the ColabFit find and access the data, and to correctly cite relevant material. The "name" and "description" will be used when publishing to the ColabFit exchange, and should be human-readable. Author list should include full first names, unless the author is normally attributed by initials. Links should include relevant publications and online location of dataset, if available.
Name: aC_JCP2023
Authors: Emi Minamitani, Ippei Obayashi, Koji Shimizu, Satoshi Watanabe
Description:
The amorphous carbon dataset was generated using ab initio calculations with VASP software. We utilized the LDA exchange-correlation functional and the PAW potential for carbon. Melt-quench simulations were performed to create amorphous and liquid-state structures. A simple cubic lattice of 216 carbon atoms was chosen as the initial state. Simulations were conducted at densities of 1.5, 1.7, 2.0, 2.2, 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, and 3.5 g/cm3 to produce a variety of structures. The NVT ensemble was employed for all melt-quench simulations, and the density was adjusted by modifying the size of the simulation cell. A time step of 1 fs was used for the simulations. For all densities, only the Γ points were sampled in the k-space. To increase structural diversity, six independent simulations were performed.
In the melt-quench simulations, the temperature was raised from 300 K to 9000 K over 2 ps to melt carbon. Equilibrium molecular dynamics (MD) was conducted at 9000 K for 3 ps to create a liquid state, followed by a decrease in temperature to 5000 K over 2 ps, with the system equilibrating at that temperature for 2 ps. Finally, the temperature was lowered from 5000 K to 300 K over 2 ps to generate an amorphous structure.
During the melt-quench simulation, 30 snapshots were taken from the equilibrium MD trajectory at 9000 K, 100 from the cooling process between 9000 and 5000 K, 25 from the equilibrium MD trajectory at 5000 K, and 100 from the cooling process between 5000 and 300 K. This yielded a total of 16,830 data points.
Data for diamond structures containing 216 atoms at densities of 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, and 3.5 g/cm3 were also prepared. Further data on the diamond structure were obtained from 80 snapshots taken from the 2 ps equilibrium MD trajectory at 300 K, resulting in 560 data points.
To validate predictions for larger structures, we generated data for 512-atom systems using the same procedure as for the 216-atom systems. A single simulation was conducted for each density. The number of data points was 2,805 for amorphous and liquid states
Calculations
Details regarding how the data was computed in order to improve reproducibility. Provide as much information as possible. Input files are highly encouraged. Additional details might include functional, basis set, energy cutoff, k-point grid, reference energy, etc.
Basic information explaining the types of configurations in the dataset, and how they are organized.
Elements should be listed by chemical symbol
Elements: C Number of configurations: 20,195 Storage format: ASE
Naming convention
If your configurations have names, please describe where their names can be found (e.g., as a field in an ASE.Atoms.info dictionary).
Names can be generated by assigning indices to the configurations, prepended with their full path. For example: 216atom_amorphous/batch1/0, 216atom_amorphous/batch1/1, 216atom_amorphous/batch1/....
Configuration sets
Configuration sets are used to define a conceptual grouping over a collection of atomic configurations. Configuration sets are constructed via regex filtering on specified keys.
Key
Regex
Description
name
216atom_crystal/*
Diamond structures containing 216 atoms at densities of 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, and 3.5 g/cm3.
name
216atom_amorphous/*
Trajectories from melt-quench simulations for configurations with 216 atoms
name
512atom_amorphous/*
Trajectories from melt-quench simulations for configurations with 512 atoms
Configuration labels
Configuration labels can be attached to your data to improve interpretability. This is done via regex matching on specified keys.
Key
Regex
Label
process
crystal
diamond, crystal
process
quench1
amorphous
process
quench2
amorphous
process
buffer_low
amorphous
process
buffer_high
amorphous
Distribution License
The license under which the content will be distributed (e.g. Creative Commons Zero)
Some notes that I took while I was going through this process:
We should specify a format for titles of issues/PRs
We should have a recommended format for DS names. e.g., _
It could be helpful if there was the option for a "short" DS description. We'd like the descriptions to be as rich as possible, but a shorter version would help with browsing.
Add a section for storage format (XYZ, HDF5, JSON, ...)
Change CS/CO regex matching to allow matching over a key other than the CO name
It was easy to mess up the formatting when inputting information. e.g., accidentally adding my information into the quote blocks
It might be helpful if there was a way to specify information that the contributor isn't sure if it's true or not. For example, I'm not 100% sure the units are eV and eV/A.
Contribute content
Contributor/requester
Name: Josh Vita
Email: vita1@llnl.gov
Dataset
Name: aC_JCP2023
Authors: Emi Minamitani, Ippei Obayashi, Koji Shimizu, Satoshi Watanabe
Links:
Description:
The amorphous carbon dataset was generated using ab initio calculations with VASP software. We utilized the LDA exchange-correlation functional and the PAW potential for carbon. Melt-quench simulations were performed to create amorphous and liquid-state structures. A simple cubic lattice of 216 carbon atoms was chosen as the initial state. Simulations were conducted at densities of 1.5, 1.7, 2.0, 2.2, 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, and 3.5 g/cm3 to produce a variety of structures. The NVT ensemble was employed for all melt-quench simulations, and the density was adjusted by modifying the size of the simulation cell. A time step of 1 fs was used for the simulations. For all densities, only the Γ points were sampled in the k-space. To increase structural diversity, six independent simulations were performed.
In the melt-quench simulations, the temperature was raised from 300 K to 9000 K over 2 ps to melt carbon. Equilibrium molecular dynamics (MD) was conducted at 9000 K for 3 ps to create a liquid state, followed by a decrease in temperature to 5000 K over 2 ps, with the system equilibrating at that temperature for 2 ps. Finally, the temperature was lowered from 5000 K to 300 K over 2 ps to generate an amorphous structure.
During the melt-quench simulation, 30 snapshots were taken from the equilibrium MD trajectory at 9000 K, 100 from the cooling process between 9000 and 5000 K, 25 from the equilibrium MD trajectory at 5000 K, and 100 from the cooling process between 5000 and 300 K. This yielded a total of 16,830 data points.
Data for diamond structures containing 216 atoms at densities of 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, and 3.5 g/cm3 were also prepared. Further data on the diamond structure were obtained from 80 snapshots taken from the 2 ps equilibrium MD trajectory at 300 K, resulting in 560 data points.
To validate predictions for larger structures, we generated data for 512-atom systems using the same procedure as for the 216-atom systems. A single simulation was conducted for each density. The number of data points was 2,805 for amorphous and liquid states
Calculations
Method: DFT
Software: VASP
Additional details: LDA XC-functional, PAW potential
Files: None
Included properties
Configurations
Elements: C
Number of configurations: 20,195
Storage format: ASE
Naming convention
Names can be generated by assigning indices to the configurations, prepended with their full path. For example:
216atom_amorphous/batch1/0
,216atom_amorphous/batch1/1
,216atom_amorphous/batch1/...
.
Configuration sets
Configuration labels
Distribution License
Creative Commons Attribution 4.0 International
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