How to Install and Uninstall xcfun.x86_64 Package on Fedora 38
Last updated: January 11,2025
1. Install "xcfun.x86_64" package
Please follow the guidance below to install xcfun.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
xcfun.x86_64
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2. Uninstall "xcfun.x86_64" package
Please follow the guidance below to uninstall xcfun.x86_64 on Fedora 38:
$
sudo dnf remove
xcfun.x86_64
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$
sudo dnf autoremove
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3. Information about the xcfun.x86_64 package on Fedora 38
Last metadata expiration check: 0:59:19 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : xcfun
Version : 2.1.1
Release : 8.fc38
Architecture : x86_64
Size : 701 k
Source : xcfun-2.1.1-8.fc38.src.rpm
Repository : fedora
Summary : A library of approximate exchange-correlation functionals
URL : https://xcfun.readthedocs.io
License : MPLv2.0
Description : XCFun is a library of approximate exchange-correlation functionals,
: used in the Density Functional Theory description of electronic
: structure. Because XCFun is based on automatic differentiation the
: library can provide arbitrary order derivatives of all supported
: functionals. Only the exchange-correlation energy expression needs to
: be implemented, which is a huge gain in productivity (and also
: efficiency). For this reason the library is very well suited for high
: order time dependent DFT or for the development of new functionals.
Available Packages
Name : xcfun
Version : 2.1.1
Release : 8.fc38
Architecture : x86_64
Size : 701 k
Source : xcfun-2.1.1-8.fc38.src.rpm
Repository : fedora
Summary : A library of approximate exchange-correlation functionals
URL : https://xcfun.readthedocs.io
License : MPLv2.0
Description : XCFun is a library of approximate exchange-correlation functionals,
: used in the Density Functional Theory description of electronic
: structure. Because XCFun is based on automatic differentiation the
: library can provide arbitrary order derivatives of all supported
: functionals. Only the exchange-correlation energy expression needs to
: be implemented, which is a huge gain in productivity (and also
: efficiency). For this reason the library is very well suited for high
: order time dependent DFT or for the development of new functionals.