Johnson Group Website
Johnson Theory Group: Current Research and Applications
Home |
Publications |
Theses |
People |
Codes |
MCC |
Courses |
Links
Algorithm Development and Techniques in Use
- MECCA: Green's Fct. based KKR-CPA
- Improved Spherical Approximation for electronic-structure calculations
e.g., Variational MT zero, and improved representations via saddle points in charge densities.
- Iterative Block method for complex, non-Hermitian matrices that are O(N) system size.
- Numerical Methods for Electronic Structure Methods
- Broyden Second Method used in many codes worldwide:
(Download broyden.f)
- Cluster Expansions and General Lattice Monte Carlo
- Full-potential Linear Augmented Plane Waves (FLAPW)
- Vienna Atomic Simulation Program (VASP)
- Genetic Algorithms and Programs
- Kinetic Monte Carlo
KKR-CPA electronic-structure methods -- Alloys Energetics and (Dis)Order Effects
MECCA code
- All-electron, scf green's function techniques for O(N1+e) scaling (N=atoms) and capable of addressing up to 2000 per unit cell on one workstation, and more atoms on scalable-parallel clusters.
- Green's Function can also deal with inhomogeneous (subsitutional)
disorder (e.g., concentration profiles around defects) including
using the Dynamical Cluster Approximation (DCA) or Non-Local-CPA
to handle Atomic Short-Range Order.
- Processing temperatures effect on magnetism and alloy structural defect energies.
First-Principles Multicomponent Phase Diagrams -- Reliable Cluster Expansions
TTK code (Thermodynamic ToolKit)
- DFT-based improved Cluster Expansion for more reliable
thermodynamic predictions of alloy thermodynamics.
- Rapid Phase Diagram estimation via the CE and Accurate Mean-Field Theories
Multicomponent Phase Stability -- Concentration Waves
S2 code
- DFT-based (KKR-CPA) linear-response methods for thermodynamic
predictions in high-T alloys and comparison to characterization data
Nanoassemblies, Hydrogen Storage and Catalysis
- Accurate prediction of Finite-T Enthalpies of Molecular Solid for Storage Reactions.
- Structural and electronic properties of nanoclusters on supports - prediction of experiment.
- Properties of self-organized polymeric multilayers via analytic model based on non-linear iterative maps.
[ Theory Home] |
[ MatSE ] |
[ MRL ] |
[ UIUC ] |
[ top ] |