Search Results for "computing"

...These are the set of codes (software) developed by the investigators to perform the computations to study the properties of atoms, molecules, clusters, alloys, bio-molecules, and composite materials using high-performance computing (HPC). For more information on the softwares developed under MSCC please go to: https://sourceforge.net/p/mscc-applications-nsm/wiki/ To download the versions of the MSCC softwares installed on NSM HPC systems please go to: https://github.com/mscc07/mscc To download the test input dataset please go to: https://github.com/mscc07/mscc-testinput For training material please go to: http://www.youtube.com/@mscctraining

...All you need is to have the latest version of R installed, some experience with the command line & shell, and enough memory to run all of the programs. There are also instructions provided in case you are running these analyses via a computing cluster/Slurm workload manager. You can choose to go through the workflow using either an Rmd script, an html file, or a PDF, or via the homepage link provided. If you have questions or concerns, please don't hesitate to reach out. Thanks!

Scalable Molecular Analysis Solver for High-performance computing systems (SMASH) is massively parallel software for quantum chemistry calculations and released under the Apache 2.0 open source license. It is currently capable of energy, analytical gradient, and geometry optimization calculations of Hartree-Fock theory and Density Functional Theory (DFT), and energy calculations of Second-order Moller-Plesset (MP2) perturbation theory.

Given dynamical coefficients and/or derivatives of the ionic potential with respect to normal (harmonic) vibrational modes, compute anharmonic energies and electric dipole-permitted transitions and intensities using nearly-degenerate perturbation theory (i.e. properly accounting for Fermi and Darling-Dennison resonances).

The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of...

...Larch has been primarily developed for dealing with x-ray spectroscopic and scattering data, especially the kind of data collected at modern synchrotrons and x-ray sources. Larch is written in Python and relies heavily on the standard tools for scientific computing with Python (numpy, scipy, matplotlib, and h5py).

...The primary goal of the project is to deliver the open source that provides the foundation for potentially complex CFD solutions capable of carrying computing in the distributed environment and particularly the Cloud computing.

PSI is an open-source program for computing molecular properties using high-accuracy, ab initio, quantum mechanical models.

Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.

:awsum: You lost the game.

The C Protein Folding Library is a minimalistic, high-performance modular library of C functions and data structures for computing folding simulations of proteins on a wide variety of computer hardware.

Datagam is a tool for extracting data from output or punch files produced by GAMESS(US) or FireFly (old name PC GAMESS) packages. Mac GUI wrapper also available. Upstream version of the project goes to the launchpad. Only final versions of the source code and compiled binars will be available from this domain.

Protein Folding by Genetic Algorithms uses evolutionary computing methods to predict a tertiary protein conformation using only the known aminoacid sequence of the protein.

Network-booting Folding@Home server in 65 MB or less.