toolkit for SimXRD database
Project description
Introducing SimXRD, the largest open-source simulation dataset designed for crystallographic informatics, aimed at advancing real-time crystal analysis. It comprises 4,065,346 d-I (lattice plan distance-intensity) powder X-ray diffraction (XRD) patterns alongside corresponding chemical formulas, elemental components, space groups, and crystal systems. These data encompass 119,569 distinct crystal structures and span 33 simulated diffraction conditions, including those mimicking real grain size, internal stress, external temperature variations, instrument drift, and noise. We employ a range of baseline models in this interdisciplinary endeavor to underscore the ML challenges and their evaluation metrics.
SimXRD is freely accessible after filling out the following basic information. For any inconvenience, please feel free to contact Mr. Cao Bin at: bcao686@connect.hkust-gz.edu.cn
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pysimxrd-0.0.1.tar.gz.
File metadata
- Download URL: pysimxrd-0.0.1.tar.gz
- Upload date:
- Size: 4.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
754f7e966f39e203ed04eb13ccf31213e6253f0553656c35b194b901f1b06b41
|
|
| MD5 |
458360058c931bbdf7ba319ba7117fbc
|
|
| BLAKE2b-256 |
ae9f24f84d5e0d75712c263306bd5e3bf2a9a2527f316f19ef4ebd197b9a15ea
|
File details
Details for the file Pysimxrd-0.0.1-py3-none-any.whl.
File metadata
- Download URL: Pysimxrd-0.0.1-py3-none-any.whl
- Upload date:
- Size: 27.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7ea08703fb946a4c4485018a582457566e3cc7020ee150856fbbcadf22d579fc
|
|
| MD5 |
f74cb62789d7320436d444a2cc9692b5
|
|
| BLAKE2b-256 |
045c11129bb43cab5dca2eca48cf23edd29009827f64532fa72f9579c4852d65
|