14.09.2014 Views

CASINO manual - Theory of Condensed Matter

CASINO manual - Theory of Condensed Matter

CASINO manual - Theory of Condensed Matter

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

8.6 GAUSSIAN94/98/03/09 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106<br />

8.7 GP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112<br />

8.8 MCEXX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112<br />

8.9 PWSCF/Quantum Espresso . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112<br />

8.10 TURBOMOLE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115<br />

8.11 Unsupported programs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115<br />

8.12 Request for help . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115<br />

9 Using <strong>CASINO</strong> with blip functions 115<br />

10 Utilities provided with the <strong>CASINO</strong> distribution 116<br />

11 Making movies with <strong>CASINO</strong> 119<br />

11.1 How to make movies . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119<br />

11.2 Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120<br />

12 Detailed information: the VMC method 121<br />

12.1 Evaluating expectation values . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121<br />

12.2 The sampling algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121<br />

12.3 Two-level sampling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122<br />

12.4 Optimal value <strong>of</strong> the VMC time step . . . . . . . . . . . . . . . . . . . . . . . . . . . 122<br />

13 Detailed information: the DMC method 123<br />

13.1 Imaginary-time propagation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123<br />

13.2 The ensemble <strong>of</strong> configurations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124<br />

13.3 Drift and diffusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124<br />

13.4 Branching and population control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125<br />

13.5 Modifications to the Green’s Function . . . . . . . . . . . . . . . . . . . . . . . . . . . 126<br />

13.6 Modifications to the DMC Green’s function at bare nuclei . . . . . . . . . . . . . . . 127<br />

13.7 Evaluating expectation values <strong>of</strong> observables . . . . . . . . . . . . . . . . . . . . . . . . 129<br />

13.8 Growth estimator <strong>of</strong> the energy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129<br />

13.9 Automatic block-resetting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130<br />

13.10Reducing the computational expense <strong>of</strong> DMC equilibration . . . . . . . . . . . . . . . 131<br />

14 Evaluation <strong>of</strong> Gaussian orbitals in the Slater wave function 132<br />

15 Constructing real orbitals 132<br />

16 Cusp corrections for Gaussian orbitals 133<br />

16.1 Electron–nucleus cusp corrections . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133<br />

16.2 Cusp correction algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134<br />

17 General-purpose cusp corrections 136<br />

18 Wave-function updating 137<br />

19 Evaluating the local energy 137<br />

19.1 Evaluating the kinetic energy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138<br />

19.2 Evaluating the nonlocal pseudopotential energy . . . . . . . . . . . . . . . . . . . . . . 139<br />

3

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!