Ab initio structure prediction for molecules and solids

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Ab initio structure prediction for molecules and solids Klaus Doll Max-Planck-Institute for Solid State Research Stuttgart Chemnitz, June/July 2010

Contents structure prediction: 1) global search on potential surface minima correspond to (meta)stable structures 2) search for barriers method: simulated annealing: start from atoms, perform moves until solid is formed => change atom positions and lattice constant examples: LiF (bulk; cluster), BN, CaC2, GeF2

Why ab initio? model potentials good for ionic systems, less for covalent or metallic systems ab initio calculations more generally applicable, also if type of bond unknown

Method, part I I) simulated annealing with G42 code 0) guess structure -> compute energy (random geometry!) 1) create new structure (atoms moved or exchanged, lattice constant changed ), compute new energy 2) accept new structure according to probability exp (-ΔE / kt) (Metropolis algorithm) reduce temperature during the run; stop after ~104 106 steps; followed by quench (~104 steps at T=0) J. C. Schön and M. Jansen, Angew. Chem., Int. Ed. Engl. 35, 1286 (1996)

Example Step 1 Step 2543 Step 22500 Step 2544 (2 atoms exchanged)

Method, parts II, III II) local optimisation: start from geometry after quench, optimise with analytical gradients (CRYSTAL code) analytical gradient with respect to atom positions: K. Doll, V. R. Saunders, N. M. Harrison, Int. J. Quant. Chem. 82, 1 (2001) and unit cell: K. Doll, R. Dovesi, R. Orlando, Theor. Chem. Acc. 112, 394 (2004) III) symmetry analysis with KPLOT (R. Hundt, Bonn) in total: ~100 1000 runs required (different run=different initialisation of random number generator)

Barrier calculation Threshold algorithm: 1) Start from minimum, allow all moves up to a certain energy (lid) 2) perform quench, analyse structure => transition to other structure possible

Ab initio calculations: with CRYSTAL-Code Idea: use methods from molecular quantum chemistry for periodic systems -> Gaussian type functions used (i.e. local basis set) 1975 Turin: Begin of the code development 1988 first release: CRYSTAL88 further releases:1992, 1995, 1998, 2003, 2006 R. Dovesi, V. R. Saunders, C. Roetti, R. Orlando, C. M. Zicovich-Wilson, F. Pascale, B. Civalleri, K. Doll, N. M. Harrison, I. J. Bush, Ph. D Arco, M. Llunell, CRYSTAL2009 www.crystal.unito.it

CRYSTAL09: some of the new features phonon dispersion (in CRYSTAL06 for k=0) dielectric properties (static dielectric tensor) empirical correction for dispersion S. Grimme, J. Comp. Chem. 27, 1787 (2006)... various others...

Ab initio simulated annealing Idea: connect code for simulated annealing with ab initio code (e.g. CRYSTAL) use ab initio energy instead of energy from model potential Problems: 1) CPU time 2) numerical stability

Problem 1: CPU time e.g. LiF bulk: 4 Li atoms, 4 F atoms, experimental geometry 1 calculation with good parameters: 16 seconds 1 calculation with good parameters, no symmetry: 13 minutes 100000 calculations for 1 simulated annealing and quench run: 13 minutes*100000: ~ 2 years 100 runs: 2 centuries model potential: minutes / hours, with even more steps

How to speed up the ab initio calculations? Necessary: fast reasonably stable (convergence at random geometry required!) Important: energy does not have to be very accurate Faster: 1) Gaussian basis set used: => increase thresholds for integral selection e.g. neglect integrals with Overlap < 10-4 (default: 10-6) Li F 2) small basis set (no polarisation functions, outermost exponents less diffuse) 3) stop SCF cycles earlier (full convergence not necessary) 4) fewer k-points...

Problem 2: How to achieve stability? Difficulties: a) initial geometry is obtained RANDOMLY Kohn-Sham equations have to be solved => expect convergence problems! > 10000 subsequent geometries are generated, calculations performed at all these geometries! b) weak computational parameters, instabilities more likely

How to achieve stability? use a method which is not so difficult to converge: 1) Hartree-Fock approach quickest: large gap helps to converge 2) hybrid functional B3LYP takes much longer than HF 3) LDA very difficult to converge (small gap) => 1) Hartree-Fock can be used for global optimisation 2) local optimisation is very quick, no problem: compare various functionals, use good parameter values

Example: BN, initial structure: gap: LDA ~0.1 ev; B3LYP ~ 0.5 ev; HF ~6 ev

How to achieve stability? discard unrealistic geometries: minimum distance between atoms required (use atomic/ionic radii, Mulliken charge) if no convergence after maximum number of SCF iterations: -> discard geometry: assign infinite energy

CPU times (one single CPU): LiF cluster (4 formula units): Single energy, initial geometry: 0.2 s (large volume, many integrals discarded) final geometry: 2 s 1 Simulated annealing run, 45000 steps: a few hours (<10) 1 Threshold run for 1 lid, 400000 steps: order of one week

CPU times (one single CPU): LiF bulk (4 formula units) single energy, initial geometry: 1 s (large volume, many integrals discarded) final geometry: 30 s 1 Simulated annealing run, 12500 steps: 3 days 1 Threshold run:???

LiF: proof of principle NaCl others, space group: 5-5 Wurtzite Pnma (62) Pc (7) zinc blende NiAs Cmc21 (36) Confirmation of the calculations with model potential Model potential: J. C. Schön and M. Jansen, Comput. Mater. Sci. 4, 43 (1995) ab initio: K. Doll, J. C. Schön, M. Jansen, Phys. Chem. Chem. Phys. 9, 6128 (2007) experiment (new LiBr structure: wurtzite): Y. Liebold Ribeiro, D. Fischer, M. Jansen, Angew. Chemie, 120, 4500 (2008)

A covalent system: BN bulk Difficulties: 1) solution of Schrödinger equation for random geometry necessary (much more difficult for covalent system than for ionic system) 2) experiment: layered structures (similar to graphite) and 3d structures (zinc blende,wurtzite) K. Doll, J. C. Schön, M. Jansen, Phys. Rev. B 78, 144110 (2008)

BN structures found: B wurtzite, zinc blende, hexagonal BN., no rock salt N _ P63/mmc (194) space group P42/mnm : β-beo (isoelectronic with BN) R3m (160) different view: P6m2 (187)

SrAl2 like structure: SrAl2 is isoelectronic: ignore Sr 2+, then: Al isoelectronic with B Al 2 - isoelectronic with N note: BN has space group Pnma (62) SrAl2 has space group Imma (74) G. Cordier, E. Czech, H. Schäfer, Z. Naturforsch. 37 b, 1442 (1982) identified with TOPOS software (V. A. Blatov, A. P. Shevchenko, V.N. Serezhkin, Samara, Russia)

Synthesis of the new β - BeO phase: not feasible by just applying pressure

(LiF)n Clusters n=1 n=3 n=4 n=2 Li F

n=5

n=6

n=7

n=8 important: the relevant minima are found

Clusters (LiF)2 n are more stable:

Tree graph from threshold run Threshold run: start from one structure accept all moves up to a certain value, then quench -> possible transition to new structure after quench two lowest lying minima with large barriers observable? K. Doll, J. C. Schön, M. Jansen, J. Chem. Phys. 133, 024107 (2010)

Conclusion structure prediction based on simulated annealing and ab initio energies in all the steps feasible LiF: ab initio results agreed with earlier results based on empirical potentials (proof of principle) BN: example for a covalent system, new modifications CaC2: mixed covalent/ionic system GeF2: chain like+3d-structures LiF clusters: barriers can be computed