Models of Chemical Potential and the Concept of Atomistic Embedding Steve Valone (Structure-Property Relations, LANL) LA-UR-09- The concept of embedding some fragment in a.
Download ReportTranscript Models of Chemical Potential and the Concept of Atomistic Embedding Steve Valone (Structure-Property Relations, LANL) LA-UR-09- The concept of embedding some fragment in a.
Models of Chemical Potential and the Concept of Atomistic Embedding Steve Valone (Structure-Property Relations, LANL) LA-UR-09- The concept of embedding some fragment in a larger system or reservoir appears everywhere in our scientific deliberations. Examples cover such diverse situations as an atom in a crystal, a functional group in a molecule, a molecular wire between a source and sink, or a protein in aqueous solution. Virtually every atomistic potential energy surface is built on one embedding strategy or another. This situation presents a difficulty for systems where charges are being transferred among fragments. Governance of transfer of charge is embodied in the concept of the chemical potential. When an embedded fragment and a reservoir can be readily identified, transfer of electrons between them can be described by an open ensemble. However, when interactions are strong as happens in crystals and molecules, the ensemble picture is not strictly applicable. Nevertheless, we still think in terms of open systems. Customary atomistic models use a linear model of chemical potential that is highly problematic. Here one strategy is presented to accommodate the open system point of view, while overcoming several limitations. That strategy focuses on decomposition into fragments of the many-body electronic hamiltonian itself, rather than decomposing the ground-state energy. The strategy produces a new, nonlinear model of chemical potential that has numerous ramifications for designing atomic potentials that can account for charge transfer. • Mix covalent and ionic wavefunctions [1,4] +q -q 0 0 • Variational energy transcribed to charges and eigenenergies 0.00 0.25 0.50 0.75 1.00 (q,qgs)(dimensionless) 0.8 (q, d) 0.0 0.0 0.2 0.4 0.6 0.8 1.0 • When q0 is zero, dependence is linear in • When q0 not zero, dependence is quadratic near q0 • Transcribing between wavefunction/density parameters and properties – Nonlinearities – Branches Charge Transfer Regulation Test problem: A and B neutral, well separated, start to interact, different ionization potentials, hardnesses Only small amount of charge should transfer between fragments -q Pritchard & Sumner [1] E tr H E0 inf E : K 1 N N 1 1 N N N 1 N 1 Physically we know that = 1 for atoms: Keep adding electrons until they don’t bind any more Nonanalytical minimization E nN inf E : 1 nN nN 1 inf 1 EN EN 1 Fractional charge implies quantum-mechanical averaging over two or more charge states of an atom. When quantum mechanical averaging is properly applied, new functional forms for the charge dependence emerge. How do we get between these two limits? A , A c i i C A i i 2 A , A c i i 0 2 i ˆ 0 H A E EA 1 2 VAB A B° A , ' VAB C AB ' C ABVAB ' tr VABAB , ' qA ˆ H A • Energy – Collect contributions by charge state – Density matrix form for convenience – Energy matrices have other charge dependencies E A C A ' C A H A' tr H AA ˆ H A H A' A' Hˆ A' Hˆ A A 2 C A2 C A2 – • Actual charges – A “property”, not unique (A) (B) q Aq B q A C i q B C i – Yet another collect of variables d AB d AB – Not essential, but convenient – Could go q -> C, instead of C -> q EA E V AB 12 – Quantum charge evolution for q, instead q q q A B° A of Carr-Parrinello – Not all definitions of charge related to CP H A E A A tr A H A – New contributions C A2 0 C A2 C A2 – d, q q (arb. units) 1 2q0 d 1 2q 0.0 -0.5 q0 d 1 q0 d q 1 q q0 regulates amount of charge transferred q0 0.005 0.05 0.2 0.5 coulombic perturbation I-M model Iczkowski-Margrave: linear 2q d A B q A B -1.0 0.0 0.2 0.4 0.6 q (arb. units) 0.8 1.0 Atomic properties regulate amount of charge transferred Charge equilibration condition at crossing of black line crosses the colored curves Regulated by derivative discontinuity seen in DFT Captured in occupation number Strong similarity to exp. I-V curve q Pseudo-inverses Time evolution Representing transformations (q <-> C <-> c) E A B 0.5 q Mathematical Issues 2 q d d, q q E This model is the cornerstone in models such as QEq, ReaxFF, BSK, ES+, etc. Eminently reasonable, simple, sound in many cases. If charges allowed to vary too much with configuration, quantum mechanics has something else to say. QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture. • States [5] – Nonadiabatic; no other restriction – Integer numbers of electrons on each fragment q Quantum 1.0 q related to occupation number of the two charge states EG, if adding a charge, q=– 2 A C A A Hardness or coulomb self-repulsion Iczkowski & Margrave [1]; Sanderson [2] N-particle density matrices 1 qq0 d • Occupation number as a fcn of q – Get two branches, ground & excited • Hamiltonian in fragment form – Numbers of electrons on each fragment must be integer – Numbers of electrons on each fragment undefined i C q (dimensionless) Classical Electrostatic PPLB [3] Chemical Potential 0 0.4 0.2 PPLB q1 q d ˆ ˆ 1 ˆ H HA 2 VAB A B° A ci i E(q,d) E0 d q, d E1 d E0 d 0.6 EIM q, d E0 d q A B 1 2q2 A B q2 d +q -q qgs Classical electrostatic potentials have long been used to describe charged interactions among atoms in a molecule. The usual structure of an electrostatic interaction between a neutral pair of atoms/sites/fragments and charge q not an integer d +q 1.0 Iczkowski-Margrave Chemical Potential Short-range (Exponential, Electronegativity, Morse, LJ, Rose) Chemical Potential General Charge Model Two-State Model with Charged Pair ABSTRACT Conclusions • Charge fluctuations on fragments yields quantum I-M model • Map between wavefunction parameters and properties: branches • No artificial spatial boundaries • New term in chemical potential of fragments, new atomistic potentials References [1] RP Iczkowski and JL Margrave, J Am Chem Soc 83, 3547 (1961); HO Pritchard and FH Sumner, Proc Roy Soc, London A 235, 136-143 (1956). [2] RT Sanderson, Science 114, 670 (1951). [3] JP Perdew, RG Parr, M Levy, JL Balduz, Jr, Phys Rev Lett 49, 1691 (1982). [4] SM Valone and SR Atlas, J Chem Phys 120, 7262 (2004). [5] J Morales and TJ Martinez, J Phys Chem A 105, 2842 (2001). Acknowledgement QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture. This work was performed at Los Alamos National Laboratory under the auspices of the U. S. Department of Energy, under contract No. DE-AC52-06NA25396. This work was supported in part by the Global Nuclear Energy Partnership program from U. S. Department of Energy Office of Nuclear Energy, Los Alamos National Laboratory Laboratory-Directed Research and Development Program, and National Science Foundation, Institute for Mathematics and Its Applications, University of Minnesota.