Atomic-scale computational modeling of technologically relevant permanent magnetic materials faces two key challenges. First, a material's magnetic properties depend sensitively on temperature, so the calculations must account for thermally induced magnetic disorder. Second, the most widely used permanent magnets are based on rare-earth elements, whose highly localized 4f electrons are poorly described by standard electronic structure methods. Here, we take two established theories, the disordered local moment picture of thermally induced magnetic disorder and self-interaction-corrected density functional theory, and devise a computational framework to overcome these challenges. Using this approach, we calculate magnetic moments and Curie t...
Ph.D. (Physics)Compounds of rare-earth (RE) elements (Ce, Yb, Eu) as well as actinide element U with...
Ph.D. (Physics)Compounds of rare-earth (RE) elements (Ce, Yb, Eu) as well as actinide element U with...
We present MARMOT, a hybrid Python/FORTRAN implementation of the disordered local moment picture wit...
Atomic-scale computational modeling of technologically relevant permanent magnetic materials faces t...
Atomic-scale computational modeling of technologically-relevant permanent magnetic materials faces t...
Computational design of more efficient rare earth/transition metal (RE-TM) permanent magnets require...
Computational design of more efficient rare earth/transition metal (RE-TM) permanent magnets require...
We present an investigation into the intrinsic magnetic properties of the compounds YCo5 and GdCo5, ...
We present an investigation into the intrinsic magnetic properties of the compounds YCo5 and GdCo5, ...
Computational design of more efficient rare earth/transition metal (RE-TM) permanent magnets require...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
It is investigated how electron-electron correlations affect the intrinsic properties of rare-earth ...
We consider electronic correlation effects and their impact on magnetic properties of tetragonally d...
We describe a disordered local moment theory for long-period magnetic phases and investigate the tem...
Ph.D. (Physics)Compounds of rare-earth (RE) elements (Ce, Yb, Eu) as well as actinide element U with...
Ph.D. (Physics)Compounds of rare-earth (RE) elements (Ce, Yb, Eu) as well as actinide element U with...
We present MARMOT, a hybrid Python/FORTRAN implementation of the disordered local moment picture wit...
Atomic-scale computational modeling of technologically relevant permanent magnetic materials faces t...
Atomic-scale computational modeling of technologically-relevant permanent magnetic materials faces t...
Computational design of more efficient rare earth/transition metal (RE-TM) permanent magnets require...
Computational design of more efficient rare earth/transition metal (RE-TM) permanent magnets require...
We present an investigation into the intrinsic magnetic properties of the compounds YCo5 and GdCo5, ...
We present an investigation into the intrinsic magnetic properties of the compounds YCo5 and GdCo5, ...
Computational design of more efficient rare earth/transition metal (RE-TM) permanent magnets require...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
We develop a self-consistent relativistic disordered local moment (RDLM) scheme aimed at describing ...
It is investigated how electron-electron correlations affect the intrinsic properties of rare-earth ...
We consider electronic correlation effects and their impact on magnetic properties of tetragonally d...
We describe a disordered local moment theory for long-period magnetic phases and investigate the tem...
Ph.D. (Physics)Compounds of rare-earth (RE) elements (Ce, Yb, Eu) as well as actinide element U with...
Ph.D. (Physics)Compounds of rare-earth (RE) elements (Ce, Yb, Eu) as well as actinide element U with...
We present MARMOT, a hybrid Python/FORTRAN implementation of the disordered local moment picture wit...