INTRODUCTION TO FIRST-PRINCIPLES

Exploration and Understanding 

COMPUTATIONAL STUDIES OF ELECTRON SYSTEMS

Zoltán Tajkov, PhD student

How does Science Work?

- Experiment

- Modelization

- Prediction

- Experiment

- Model refinement

How to use science to predict the behavior of materials? 

Brute Force Always Works!

We already have the ultimate model to describe everything!

\hat{H}| \Psi(t) \rangle = i\hbar\frac{\partial |\Psi(t)\rangle}{\partial t}

Brute Force Always Works???

An example: methane

1 carbon atom + 1 hydrogen = 10 electrons

30 independent coordinates

100 points per coordinate

 \( 100^{30}=10^{60} \) complex number

1 complex number in every atom

We can store the wave function in \( 10^{30} m^3 \)

How To Fix It

We can reduce the number of coordinates to 3!

Pierre Hohenberg

Walter Kohn

Hohenberg-Kohn theorems

Next lecture...

... it has something to do with the density of the electrons

What is Density Functional Theory?

Density \( \rightarrow \) density of electrons

Functional \( \rightarrow \) next lecture

Theory \( \rightarrow \) duh

It is a

  • Reasonably accurate 
  • Versatile numerical method

There are a plenty of codes available...

ABINIT,ACES,ACE-Molecule,AMPAC,ADF,Atomistix ToolKit (ATK),BigDFT,BrianQC,CADPAC,CASINO QMC),CASTEP,CFOUR,COLUMBUS,CONQUEST,CP2K,CPMD,CRYSTAL,DACAPO,Dalton,deMon2k,DFTB+,DFT++ (succeeded by JDFTx),DIRAC,DMol3,ELK,Empire,EPW6,ErgoSCF,ERKALE,Exabyte.io,EXCITING,FLEUR,FHI-aims,FPLO13,FreeON,Firefly, PC GAMESS,GAMESS (UK),GAMESS(US),Gaussian,GPAW,HiLAPW,HelFEM,HORTON,HyperChem,Jaguar,JDFTx,LOWDIN,MADNESS,Maple Quantum Chemistry Toolbox,MISSTEP,MOLCAS,OpenMOLCAS,MolDS,MOLGW,MOLPRO,MONSTERGAUSS,MOPAC,MPQC,MRCC,NRLMOL,NTChem,NWChem,Octopus,ONETEP,OpenAtom,OpenMX,ORCA,phase0,PLATO,PQS,Priroda,PSI,PUPIL,PWmat,PWscf6,PyQuante,PySCF,Qbox,Q-Chem,QMCPACK (QMC),Quantemol-N,QSite,Quantum ESPRESSO,RMG,RSPt,SAMSON,Scigress,Spartan,Siam Quantum,SIESTA,TB-LMTO,TeraChem 8,TURBOMOLE,VASP,WIEN2k,xtb,Yambo Code

ABINIT,ACES,ACE-Molecule,AMPAC,ADF,Atomistix ToolKit (ATK),BigDFT,BrianQC,CADPAC,CASINO QMC),CASTEP,CFOUR,COLUMBUS,CONQUEST,CP2K,CPMD,CRYSTAL,DACAPO,Dalton,deMon2k,DFTB+,DFT++ (succeeded by JDFTx),DIRAC,DMol3,ELK,Empire,EPW6,ErgoSCF,ERKALE,Exabyte.io,EXCITING,FLEUR,FHI-aims,FPLO13,FreeON,Firefly, PC GAMESS,GAMESS (UK),GAMESS(US),Gaussian,GPAW,HiLAPW,HelFEM,HORTON,HyperChem,Jaguar,JDFTx,LOWDIN,MADNESS,Maple Quantum Chemistry Toolbox,MISSTEP,MOLCAS,OpenMOLCAS,MolDS,MOLGW,MOLPRO,MONSTERGAUSS,MOPAC,MPQC,MRCC,NRLMOL,NTChem,NWChem,Octopus,ONETEP,OpenAtom,OpenMX,ORCA,phase0,PLATO,PQS,Priroda,PSI,PUPIL,PWmat,PWscf6,PyQuante,PySCF,Qbox,Q-Chem,QMCPACK (QMC),Quantemol-N,QSite,Quantum ESPRESSO,RMG,RSPt,SAMSON,Scigress,Spartan,Siam Quantum,SIESTA,TB-LMTO,TeraChem 8,TURBOMOLE,VASP,WIEN2k,xtb,Yambo Code

something to think about...

A simple model can shed more light on Nature's workings than a series of "ab initio" calculations of individual cases, which, even if correct, are so detailed that they hide reality instead of revealing it. ... A perfect computation simply reproduces Nature, it does not explain it.

(P.W. Anderson)

What is Density Functional Theory good for?

  •  Energy, forces, and stress for a given geometry
     
  • Charge density, wave functions, band energies, and other low-level technical information

Usually the codes provide us the following information as output: 

What is Density Functional Theory good for?

  • Exploration and prediction, simulating experiments difficult or impossible in the laboratory.
     
  •  Clarification/complement of experimental information by means of the precise control of simulation conditions. (The computer is a perfect control machine)
     
  • Design of materials with desired properties. Reduction of the “trial and error” loop.
     
  • Parametrization of simpler models

What of Anderson's claim?

Do we understand more?

A SUCCESS story

Ammonia Synthesis

  • More than 100 million tons each year
  • \( N_2 + 3H_2 \rightarrow 2NH_3 \)
  • High temperature and pressure + catalyst
  • Sometimes the reaction fast, sometime slow

DFT showed us that the shape of the catalysts is important!

challenges

Strong electron-electron interaction

challenges

Avoided crossing

Introduction to First-Principles

By novidad21

Introduction to First-Principles

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