ovito has an installation package for Linux systems. OVITO is a scientific visualization and analysis software for atomic and particle simulation data. The program is available for free on all major platforms under an open source license, supporting major platforms such as Windows, Linux, macOS, etc. How to install ovito under Linux: 1. Download the compressed package of the Linux version from the official website; 2. Use the tar command to decompress it; 3. Use the export command to set environment variables.
#The operating environment of this tutorial: linux7.3 system, Dell G3 computer.
OVITO is a scientific visualization and analysis software for atomic and particle simulation data. It helps scientists better understand material phenomena and physical processes. The program is available for free on all major platforms (Windows, Linux, macOS, etc.) under an open source license. As a powerful tool for analyzing, understanding, and explaining simulation results, it has played a role in an increasing number of computational simulation studies.
ovito has an installation package for Linux systems. Official website download https://www.ovito.org/
##Installing ovito under linux
1. Download the linux version of the compressed package from the official website 2. Unzip ittar zxvf ovito-2.9.0-x86_64.tar.gz cd ovito-2.9.0-x86_64
export OVITO_HOME=/path/to/ovito-2.9.0-x86_64 export PATH=$OVITO_HOME/bin:$PATH
Please Change /path/to/ovito-2.9.0-x86_64 to the actual path after decompression.Enter
which ovito
ovito
export OVITO_HOME=/path/to/ovito-2.9.0-x86_64 cp libstdc++.so.6 $OVITO_HOME/lib/ovito cp libstdc++.so.6.0.21 $OVITO_HOME/lib/ovito
ovito
If the Linux environment does not support the graphical interface well, we can use the ovitos command to perform image processing on the command line.
Error: nivida library is missing
When running the ovitos command on the computing node, it is prompted that the libnvidia-tls.so and libnvidia-glcore.so libraries are missing. This library is in nvidia's driver library. We download it from the official website: Portal (opens new window). Select: Linux - x86_64 - RHEL - 6 - rpm(local) and download the cuda-repo-rhel6-7-5-local-7.5-18.x86_64.rpm compressed package. Then unzip the rpm package and find these two librariesrpm2cpio cuda-repo-rhel6-7-5-local-7.5-18.x86_64.rpm | cpio -div cd var/cuda-repo-7-5-local rpm2cpio xorg-x11-drv-nvidia-libs-352.39-1.el6.x86_64.rpm | cpio -div rpm2cpio xorg-x11-drv-nvidia-gl-352.39-1.el6.x86_64.rpm | cpio -div cd usr/lib64/nvidia
export LD_LIBRARY_PATH=/path/to/nvidia-lib:$LD_LIBRARY_PATH
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