Name | Modified | Size | Downloads / Week |
---|---|---|---|
Parent folder | |||
wrappers | 2015-06-02 | ||
force_field | 2015-06-02 | ||
useful.py | 2015-06-02 | 36.9 kB | |
constants.py | 2015-06-02 | 654 Bytes | |
make_clean | 2015-06-02 | 43 Bytes | |
setup_cyth.py | 2015-06-02 | 518 Bytes | |
to_normal_mode_cyth.c | 2015-06-02 | 15.5 MB | |
to_normal_mode_cyth.pyx | 2015-06-02 | 491.1 kB | |
transform.c | 2015-06-02 | 1.7 MB | |
transform.pyx | 2015-06-02 | 66.2 kB | |
coords_transform.py | 2015-06-02 | 596.8 kB | |
normal_mode.py | 2015-06-02 | 15.7 kB | |
pes_derivs.py | 2015-06-02 | 23.1 kB | |
pypes_lib.py | 2015-06-02 | 11.5 kB | |
read_input.py | 2015-06-02 | 38.1 kB | |
state.py | 2015-06-02 | 15.8 kB | |
Totals: 16 Items | 18.5 MB | 0 |
#=================================================================================# # # # PyPES - Python Analytical Potential Energy Surface Library # # Written by Marat Sibaev # # University of Canterbury, Department of Chemistry, 2015 # # # #=================================================================================# #=================================================================================# # Contents Summary # #=================================================================================# The full distribution is provided in the .tgz file: PyPES_Library.tgz To extract the contents: tar xvfz PyPES_Library.tgz This package contains: -> code: python and cython source code, with subdirectories; -> force_field: force field parser code and force field data file/s -> wrappers: a set of code fragments to read and parse derivative data generated by PyPES -> docs: LaTeX source and compiled manual, with benchmark frequency data -> tutes: examples of how to use PyPES, each in a separate subdirectory; -> tute_1: minimal working examples, will all keywords except those pertaining to force field definition (MOLECULE AND PESN) set by default -> tute_2: geometry specification in Cartesian and internal coordinates, geometry optimization with respect to energy, mass specification and normal mode analysis -> tute_3: transformation between internal coordinates, saving force field in new set of internal coordinates or normal mode coordinates -> tute_4: working with force fields saved in normal mode coordinates -> tute_5a/5b: using PyPES to generate Cartesian derivative data, analogous to output from ab initio program packages. Wrapper scripts in a range of languages that call PyPES and read in derivative data -> tute 6: structure of force-field modules, some comments on implementing new force fields, designed for force field developers #=================================================================================# # Installation Instructions # #=================================================================================# Change into the code directory: cd PyPES_Library/code Remove any old compiled module files (*.so), if existing: ./make_clean Compile new module files from C source (requires Cython + C compiler): python setup_cyth.py build_ext --inplace Add this directory to your path #=================================================================================# # Usage Instructions # #=================================================================================# Syntax: pypes.py input_file (output_file - optional, see manual) #=================================================================================# # Licensing # #=================================================================================# All code contained herein released under the MIT license, see MIT_license.txt in docs subdirectory for terms and conditions