aBN_HSX / README.md
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---
dataset_info:
features:
- name: nr_atoms
dtype: int64
- name: atomic_types_z
sequence: int32
- name: atomic_positions
sequence:
sequence: float64
- name: lattice_nsc
sequence: int32
- name: lattice_origin
sequence: float64
- name: lattice_vectors
sequence:
sequence: float64
- name: boundary_condition
sequence:
sequence: int32
- name: h_matrix
sequence:
sequence: float64
- name: s_matrix
sequence:
sequence: float64
splits:
- name: nr_atoms_8
num_bytes: 11506440
num_examples: 66
- name: nr_atoms_32
num_bytes: 33281328
num_examples: 12
- name: nr_atoms_2
num_bytes: 259532
num_examples: 23
- name: nr_atoms_3
num_bytes: 4090160
num_examples: 164
download_size: 47081770
dataset_size: 49137460
configs:
- config_name: default
data_files:
- split: nr_atoms_8
path: data/nr_atoms_8-*
- split: nr_atoms_32
path: data/nr_atoms_32-*
- split: nr_atoms_2
path: data/nr_atoms_2-*
- split: nr_atoms_3
path: data/nr_atoms_3-*
license: mit
tags:
- chemistry
- materials
pretty_name: aBN
---
### **Card Description for Dataset**
---
**Dataset Name:** Atomic Structures and H/S Matrices of aBN Configurations
**Description:**
This dataset contains computationally generated atomic structures of amorphous boron nitride (aBN) with various configurations containing 2, 3, 8, 32, and 64 atoms per unit. Each structure is described by its atomic positions, lattice properties, and associated Hamiltonian (H) and overlap (S) matrices, which are commonly used in quantum mechanical simulations and electronic structure calculations.
---
**Features:**
1. **nr_atoms:** Number of atoms in the structure (2, 3, 8, 32, 64).
2. **atomic_types_z:** Atomic types represented by their atomic numbers.
3. **atomic_positions:** Cartesian coordinates of the atoms.
4. **lattice_nsc:** Lattice scaling factors.
5. **lattice_origin:** Origin of the lattice system.
6. **lattice_vectors:** Lattice vectors defining the cell geometry.
7. **boundary_condition:** Boundary conditions applied to the system (e.g., periodic).
8. **h_matrix:** Hamiltonian matrix representing the quantum mechanical interactions.
9. **s_matrix:** Overlap matrix describing the basis set overlap.
---
**Use Cases:**
This dataset is suitable for research and applications in materials science, quantum chemistry, and machine learning for materials discovery. It can be used for:
- Developing and validating machine learning models for predicting electronic properties.
- Benchmarking models for predicting H and S matrix base on the atomic structure.
- Understanding the structural and electronic properties of amorphous boron nitride at different scales.
---
**Splits:**
The dataset is organized into splits based on the number of atoms per structure:
- `nr_atoms_2`
- `nr_atoms_3`
- `nr_atoms_8`
- `nr_atoms_32`
- `nr_atoms_64`
Each split corresponds to structures with the specified number of atoms, enabling targeted analysis or model training.
---
**Licensing:**
Specify the license under MIT license.
**Citation:**
If using this dataset, please cite the source or include the following acknowledgment:
*" xxxxx"*
---