PolaronMobility.jl

PolaronMobility.jl: Implementation of the Feynman variational polaron model - Published in JOSS (2018)

https://github.com/Frost-group/PolaronMobility.jl

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mobility path-integral physics polarons solid-state
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Feynman's variational path-integral model for the Fröhlich polaron. Calculates temperature dependent polaron mobilities, and other polaron observables.

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mobility path-integral physics polarons solid-state
Created almost 9 years ago · Last pushed 8 months ago
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README.md

PolaronMobility.jl

License: MIT made-with-julia DOI docs-latest

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PolaronMobility.jl is a Julia package which calculates the temperature-dependent polaron mobility for a material.

This is based on the Feynman variational solution to the Polaron problem. The electron-phonon coupling is treated as an effective α (alpha) Frohlich Hamiltonian dimensionless parameter. The band structure is treated with an effective mass theory. The variational problem is solved numerically for finite-temperature free energies. (The original 1960s work, and thus textbook solutions, often use asymptotic approximations to the integrals, with a more simple athermal action.)
The mobility is calculated in three ways: 1) numerically by integrating the polaron self-energy along the imaginary axis (Hellwarth1999) 2) using Kadanoff's Boltzmann equation approximation (Kadanoff1963) 3) using the FHIP low-temperature asymptotic solution (FHIP)

These three methods are in approximately descending order of accuracy.

We provide parameters for various metal-halide Perovskites, and other interesting systems.

The motivation for developing these codes was to enable polaron mobility calculations on arbitrary materials. They also provide the only extant implementation of Feynman's variational method.
They offer a convenient basis for writing codes that build on these variational solutions.

More extensive documentation, is perhaps easiest to read and understand alongside the first paper: ArXiv:1704.05404 / Frost2017PRB.

Installation

To install, type the following at the Julia (>1.0) REPL:

julia> import Pkg; Pkg.add("PolaronMobility")

Cloud notebook

There is an example notebook which can be run interactively on the (free) MyBinder notebook server. This is the fastest way to calculate a few polaron parameters, if you do not have Julia installed locally.

1) Click on Binder 2) That's it!

(Currently plotting does not work, as the Docker image is not built with the (heavy weight) Plots dependency, and I'm not sure how I can do this just for MyBinder, without requiring it generally for PolaronMobility.jl. If this is problematic for you, please open an issue and I'll try to fix it!)

Using

As an example:

julia> using PolaronMobility julia> MAPIe = material(4.5, 24.1, 0.12, 2.25) julia> MAPIe_polaron = frohlichpolaron(MAPIe, 300; verbose = true)

Will calculate the polaron mobility for methyl-ammonium lead halide perovskite (ϵoptical = 4.5, ϵstatic = 24.1, effective_mass = 0.12 electron-masses, f = 2.25 THz) at 300 K.

An abbreviated output should look like:

```

       Material Information           

Optic dielectric | ϵo = 4.5 Static dielectric | ϵs = 24.1 Ionic dielectric | ϵi = 19.6 Band mass | mb = 0.12 Fröhlich coupling | α = 2.39394 Phonon frequencies | f = 2.25 Eff Phonon freq | feff = 2.25 IR activities | ir = 1

Unit cell volume | V = 1


                     Polaron Information:                          

Phonon frequencies | ωeff = 2.25 | ω = 2.25 Fröhlich coupling | αeff = 2.39394 | α = 2.39394 Number of spatial dimensions | d = 3 Small α→0 energy | Fs = -2.46469 Large α→∞ energy | Fl = -3.43751 Small α→0 fictitious mass | Ms = 0.542264 Large α→∞ fictitious mass | Ml = 0.0666023 Small α→0 polaron radius | Rs = 1.67917 Large α→∞ polaron radius | Rl = 9.00108

Large α→∞ FC peak freq. | ΩFC = 0.810764

                 Zero Temperature Information:                     

Variational parameter | v0 = 3.30877 Variational parameter | w0 = 2.66327 Energy | E0 = -5.56947 Electron energy | A0 = -2.17859 Interaction energy | B0 = 5.78198 Trial energy | C0 = 1.96608 Fictitious spring constant | κ0 = 3.855 Fictitious mass | M0 = 0.543495 Fictitious mass (asymptotic) | M0a = 1.24237 Reduced mass | M0r = 0.35212

Polaron radius | R0 = 0.817278

                Finite Temperature Information:                    

Temperatures | T = 300 Reduced thermodynamic | β = 0.159975 Variational parameter | v = 19.8612 Variational parameter | w = 16.9599 Free energy | F = -8.59191 Electron energy | A = -14.5096 Interaction energy | B = 16.5498 Trial energy | C = 6.55175 Fictitious spring constant | κ = 106.831 Fictitious mass | M = 0.371408 Fictitious mass (asymptotic) | Ma = 1.17107 Reduced mass | Mr = 0.270822

Polaron radius | R = 0.0722548

                  DC Mobility Information:                         

Finite temperature mobility | μ = 0.487357 FHIP low-temp. mobility | μFHIP = 2.93118 Devreese low-temp. mobility | μD = 0.703373 Kadanoff low-temp. mobility | μK = 0.703373 Hellwarth mobility | μH = 1.09655 Hellwarth mobility (b=0) | μH0 = 1.09824

Kadanoff relaxation time | τ = 0.964611

```

The frohlichpolaron method returns a Frohlich struct type. To access a value we can call the variable from the table above. For example, to get the mobility for MAPIe we do: julia> MAPIe_polaron.μ 0.48735686547867546

This package makes use of Unitful.jl to convert these values into unitful polaron types. For example, to add units to the above MAPIe polaron: julia> using Unitful julia> addunits!(MAPIe_polaron) julia> MAPIe_polaron.μ 0.48735686547867546 μ₀

All the values above are given in "polaron" units. We can convert to a specific unit using Unitful. For example, to obtain the MAPIe polaron ground-state energy (meV), room-temperature free energy (meV) and mobility (cm^2/V/s): ``` julia> MAPIe_polaron.F0 |> u"meV" -23.03349215713356 meV

julia> MAPIe_polaron.F |> u"meV" -35.5332946810453 meV

julia> MAPIe_polaron.μ |> u"cm^2/V/s" 136.42332082324646 cm² s⁻¹ V⁻¹ ```

The frohlichpolaron method can generally accept a range of α electron-phonon coupling parameters, a range of temperatures for finite temperature properties such as free energy and mobility, and range of Electric Field frequencies for calculating dynamical properties such as the complex conductivity. For example: julia> frohlich_polaron = frohlichpolaron(1:12, 1:400, 0:0.1:10) will calculate all properties for α's 1 to 12, temperature 1K to 400K and Electric field frequencies 0 to 10 THz.

It is also possible to change the number of spatial dimensions for the polaron using dims = # or as an array/range dims = [2, 3]. For example: julia> frohlich_polaron = frohlichpolaron(1:12, 1:400, 0:0.1:10; dims = 2) julia> frohlich_polaron = frohlichpolaron(1:12, 1:400, 0:0.1:10; dims = [2, 3])

Note that the Frohlich polaron does not exist in 1D.

TIP: If the frohlichpolaron errors or you interrupt the calculation whilst you have verbose = true, use print("\e[?25h") to return your cursor.

Multiple phonon modes

To calculate polaron properties for a material with multiple phonon modes the code requires a vector of phonon frequencies (at the gamma point), a vector of corresponding infrared activities for each phonon mode, and the unitcell volume of the material. The code uses this additional information to calculate the ionic dielectric contributions to the static dielectric function. For example, for MAPIe: ``` julia> volume = (6.29e-10)^3 julia> meff = 0.12 julia> ϵstatic = 24.1 julia> ϵoptic = 4.5 julia> phononfreqs = [4.016471586720514, 3.887605410774121, 3.5313112232401513, 2.755392921480459, 2.4380741812443247, 2.2490917637719408, 2.079632190634424, 2.0336707697261187, 1.5673011873879714, 1.0188379384951798, 1.0022960504442775, 0.9970130778462072, 0.9201781906386209, 0.800604081794174, 0.5738689505255512] julia> ir_activities = [0.08168931020200264, 0.006311654262282101, 0.05353548710183397, 0.021303020776321225, 0.23162784335484837, 0.2622203718355982, 0.23382298607799906, 0.0623239656843172, 0.0367465760261409, 0.0126328938653956, 0.006817361620021601, 0.0103757951973341, 0.01095811116040592, 0.0016830270365341532, 0.00646428491253749]

julia> MAPIe = material(ϵoptic, ϵstatic, meff, phononfreqs, ir_activities, volume)

Hellwarth B Scheme... (athermal) Hellwarth (58) summation: 0.03803673767058733 Hellwarth (59) summation (total ir activity ^2): 0.19283002835623678 Hellwarth (59) W_e (total ir activity ): 0.4391241605243747

Hellwarth (61) Omega (freq): 2.251571287857919

       Material Information           

Optic dielectric | ϵo = 4.5 Static dielectric | ϵs = 24.1 Ionic dielectric | ϵi = [0.299962, 0.0247382, 0.254308, 0.166213, 2.30827, 3.07073, 3.20261, 0.892655, 0.886139, 0.720913, 0.401989, 0.618315, 0.766623, 0.155541, 1.16275] Band mass | mb = 0.12 Fröhlich coupling | α = [0.0340093, 0.0028509, 0.03075, 0.0227523, 0.335905, 0.465256, 0.50462, 0.142232, 0.160835, 0.162287, 0.0912368, 0.140706, 0.181593, 0.0394994, 0.348765] Phonon frequencies | f = [4.01647, 3.88761, 3.53131, 2.75539, 2.43807, 2.24909, 2.07963, 2.03367, 1.5673, 1.01884, 1.0023, 0.997013, 0.920178, 0.800604, 0.573869] Eff Phonon freq | feff = 2.25157 IR activities | ir = [0.0816893, 0.00631165, 0.0535355, 0.021303, 0.231628, 0.26222, 0.233823, 0.062324, 0.0367466, 0.0126329, 0.00681736, 0.0103758, 0.0109581, 0.00168303, 0.00646428]

Unit cell volume | V = 2.48858e-28

```

We can then put this into the frohlichpolaron function as before. For example here we would get: ``` julia> MAPIe_polaron = frohlichpolaron(MAPIe, 300; verbose = true)


                     Polaron Information:                          

Phonon frequencies | ωeff = 2.25157 | ω = [4.01647, 3.88761, 3.53131, 2.75539, 2.43807, 2.24909, 2.07963, 2.03367, 1.5673, 1.01884, 1.0023, 0.997013, 0.920178, 0.800604, 0.573869] Fröhlich coupling | αeff = 2.6633 | α = [0.0340093, 0.0028509, 0.03075, 0.0227523, 0.335905, 0.465256, 0.50462, 0.142232, 0.160835, 0.162287, 0.0912368, 0.140706, 0.181593, 0.0394994, 0.348765] Number of spatial dimensions | d = 3 Small α→0 energy | Fs = -2.75087 Large α→∞ energy | Fl = -3.58205 Small α→0 fictitious mass | Ms = 0.621212 Large α→∞ fictitious mass | Ml = 0.102027 Small α→0 polaron radius | Rs = 1.592 Large α→∞ polaron radius | Rl = 10.0138

Large α→∞ FC peak freq. | ΩFC = 1.00348

                 Zero Temperature Information:                     

Variational parameter | v0 = 3.29227 Variational parameter | w0 = 2.67919 Energy | E0 = -4.71904 Electron energy | A0 = -1.83134 Interaction energy | B0 = 4.88955 Trial energy | C0 = 1.66083 Fictitious spring constant | κ0 = 3.66096 Fictitious mass | M0 = 0.510019 Fictitious mass (asymptotic) | M0a = 1.22883 Reduced mass | M0r = 0.337757

Polaron radius | R0 = 0.858447

                Finite Temperature Information:                    

Temperatures | T = 300 Reduced thermodynamic | β = [0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975, 0.159975] Variational parameter | v = 35.1921 Variational parameter | w = 32.4542 Free energy | F = -10.3578 Electron energy | A = -11.5987 Interaction energy | B = 15.4728 Trial energy | C = 6.48363 Fictitious spring constant | κ = 185.207 Fictitious mass | M = 0.175839 Fictitious mass (asymptotic) | Ma = 1.08436 Reduced mass | Mr = 0.149544

Polaron radius | R = 0.0554786

                  DC Mobility Information:                         

Finite temperature mobility | μ = 0.572962 FHIP low-temp. mobility | μFHIP = 4.71425 Devreese low-temp. mobility | μD = 0.0673372 Kadanoff low-temp. mobility | μK = 0.0673372 Hellwarth mobility | μH = 0.0360092 Hellwarth mobility (b=0) | μH0 = 0.0359907

Kadanoff relaxation time | τ = 0.0572674

```

Using Unitful we then get the following energies and mobility: ``` julia> MAPIe_polaron.F0 |> u"meV" -19.516365044323575 meV

julia> MAPIe_polaron.F |> u"meV" -42.83622939936868 meV

julia> MAPIe_polaron.μ |> u"cm^2/V/s" 160.38638000423998 cm² s⁻¹ V⁻¹ ```

Multiple variational parameters

The base trial action used in the Feynman-Jensen variational path integral approximation has only two variational parameters called v and w. This can be generalised to more variational parameters v1, w1, v2, w2 etc where v1 > w1 > v2 > w2 > .... Including more variational paramaters can produce better variational results, improving the upper-bound on the polaron free energy.

To use this functionality, you have to provide an initial vector of guesses for the variational parameters. For example for the single effective phonon mode MAPIe: ``` julia> MAPIepolaron = frohlichpolaron(MAPIe; vguesses = [4, 3], w_guesses = [3.5, 2.5], verbose = true)


           Polaron Information: [1 / 1 (100.0 %)]

Phonon frequencies | ωeff = 2.25 | ω = 2.25 Fröhlich coupling | αeff = 2.39394 | α = 2.3939410167951287 Small α→0 energy | Fs = -2.46469 Large α→∞ energy | Fl = -3.43751 Small α→0 fictitious mass | Ms = 0.542264 Large α→∞ fictitious mass | Ml = 0.0666023 Small α→0 polaron radius | Rs = 1.67917 Large α→∞ polaron radius | Rl = 9.00108 Large α→∞ FC peak freq. | ΩFC = 0.810764

Number of dimensions [1 / 1] | d = 3

               Zero Temperature Information:                       

Variational parameter | v0 = [2.28596, 12.4981] Variational parameter | w0 = [1.86037, 12.1284] Energy | E0 = -5.57292 Electron energy | A0 = -2.684 Interaction energy | B0 = 5.78926 Trial energy | C0 = 2.46766 Fictitious spring constant | κ0 = [1.76463, 9.1037] Fictitious mass | M0 = [0.509867, 0.0618885] Fictitious mass (asymptotic) | M0a = [1.22877, 1.03048] Reduced mass | M0r = [0.33769, 0.0582815]

Polaron radius | R0 = [1.48402, 0.672612]

```

which gives a (polaron units) ground-state energy of -5.57292 compared to the previous prediction -5.56947.

Note that whilst the code is capable of finite temperatures, more variational parameters and multiple modes all at once - the resultant energy landscape is difficult to optimise on and find converged results and requires well informed initial guesses to arrive at a correct solution.

The Holstein polaron model

To calculate properties for a small Holstein-like polaron, use the holstenpolaron() function. It accepts all the same arguements as for the previous case with Frohlich, but will use the Holstein model instead and store the information in the Holstein type.

For example: ``` julia> holstein_polaron = holsteinpolaron(1:3, [0, 300], [0, 1]; dims = [1, 2, 3], verbose = true)


                     Polaron Information:                          

Phonon frequencies | ωeff = 1 | ω = 1 Holstein coupling | αeff = [1, 2, 3] | α = [1, 2, 3]

Number of spatial dimensions | d = 3

                 Zero Temperature Information:                     

Variational parameter | v0 = [4.06018, 4.80557, 7.07573] Variational parameter | w0 = [3.30811, 1.51507, 1.16092] Total energy | F0 = [-7.3982, -9.21291, -12.1558] Electron energy | A0 = [-1.1281, -4.93576, -8.87222] Interaction energy | B0 = [1.50268, 4.90273, 9.86404] Trial energy | C0 = [1.02362, 3.24593, 5.16394] Fictitious spring constant | κ0 = [5.54143, 20.7981, 48.7182] Fictitious mass | M0 = [0.506361, 9.06064, 36.1484] Fictitious mass (asymptotic) | M0a = [1.22734, 3.17185, 6.09495] Reduced mass | M0r = [0.336149, 0.900603, 0.973081]

Polaron radius | R0 = [0.629813, 0.182562, 0.0945703]

                Finite Temperature Information:                    

Temperatures | T = [0, 300] Reduced thermodynamic | β = [Inf, 0.00333333] Variational parameter | v = [4.06018 4.80557 7.07573; 6.76201 8.98156 10.7774] Variational parameter | w = [3.30811 1.51507 1.16092; 3.75187 3.22804 2.85246] Free energy | F = [-7.3982 -9.21291 -12.1558; -1751.64 -1757.63 -1763.61] Electron energy | A = [-1.1281 -4.93576 -8.87222; 1739.64 1739.63 1739.61] Interaction energy | B = [1.50268 4.90273 9.86404; 5.98483 11.9697 17.9545] Trial energy | C = [1.02362 3.24593 5.16394; 0.0131867 0.0292696 0.0450057] Fictitious spring constant | κ = [5.54143 20.7981 48.7182; 31.6483 70.2482 108.016] Fictitious mass | M = [0.506361 9.06064 36.1484; 2.2483 6.7415 13.2754] Fictitious mass (asymptotic) | Ma = [1.22734 3.17185 6.09495; 1.80231 2.78236 3.77828] Reduced mass | Mr = [0.336149 0.900603 0.973081; 0.692147 0.870826 0.929949]

Polaron radius | R = [0.629813 0.182562 0.0945703; 0.142314 0.0738927 0.0526417]

                  DC Mobility Information:                         

Finite temperature mobility | μ = [Inf Inf Inf; 440.224 199.198 95.5733]

              Frequency Response Information:                      

Electric field frequency | Ω = [0, 1] Memory function | χ = [Inf+0.0im Inf+0.0im; -2.90365+5.53403im -3.85738e-5+0.00226794im;;; Inf+0.0im Inf+0.0im; -185.241+292.499im -0.000229113+0.00496805im;;; Inf+0.0im Inf+0.0im; -767.896+2281.86im -0.00127186+0.0101249im] Complex impedance | z = [0.0+Infim 0.0+Infim; 5.53403+1.90365im 0.00226794-0.999961im;;; 0.0+Infim 0.0+Infim; 292.499+184.241im 0.00496805-0.999771im;;; 0.0+Infim 0.0+Infim; 2281.86+766.896im 0.0101249-0.998728im]

Complex conductivity | σ = [0.0+0.0im 0.0+0.0im; 0.16158-0.0555821im 0.0022681+1.00003im;;; 0.0+0.0im 0.0+0.0im; 0.00244768-0.00154176im 0.00497021+1.0002im;;; 0.0+0.0im 0.0+0.0im; 0.000393763-0.000132337im 0.0101496+1.00117im]

```

Using addunits!(holstein_polaron) will then add the specific Holstien polaron units (energy in terms of the electron hopping energy instead of phonon energy as for the Frohlich model) which can then be transformed into other SI units using Unitful.

General electron-phonon matrices and k-space integration

TBC

Saving and loading polaron data

The Frohlich and Holstein polaron types can be saved as .jld files and loaded back into Julia. For example:

julia> save_frohlich_polaron(MAPIe_polaron, "MAPIe_polaron") Saving polaron data to MAPIe_polaron.jld ... ... Polaron data saved.

``` julia> MAPIepolaron = loadfrohlichpolaron("MAPIepolaron.jld") Loading polaron data from MAPIe_polaron.jld ...

... Polaron loaded.

                     Polaron Information:                          

Phonon frequencies | ωeff = 2.25 | ω = 2.25 Fröhlich coupling | αeff = 2.39394 | α = 2.39394 Number of spatial dimensions | d = 3 Small α→0 energy | Fs = -2.46469 Large α→∞ energy | Fl = -3.43751 Small α→0 fictitious mass | Ms = 0.542264 Large α→∞ fictitious mass | Ml = 0.0666023 Small α→0 polaron radius | Rs = 1.67917 Large α→∞ polaron radius | Rl = 9.00108

Large α→∞ FC peak freq. | ΩFC = 0.810764

                 Zero Temperature Information:                     

Variational parameter | v0 = 3.30877 Variational parameter | w0 = 2.66327 Energy | E0 = -5.56947 Electron energy | A0 = -2.17859 Interaction energy | B0 = 5.78198 Trial energy | C0 = 1.96608 Fictitious spring constant | κ0 = 3.855 Fictitious mass | M0 = 0.543495 Fictitious mass (asymptotic) | M0a = 1.24237 Reduced mass | M0r = 0.35212

Polaron radius | R0 = 0.817278

                Finite Temperature Information:                    

Temperatures | T = 300 Reduced thermodynamic | β = 0.159975 Variational parameter | v = 19.8612 Variational parameter | w = 16.9599 Free energy | F = -8.59191 Electron energy | A = -14.5096 Interaction energy | B = 16.5498 Trial energy | C = 6.55175 Fictitious spring constant | κ = 106.831 Fictitious mass | M = 0.371408 Fictitious mass (asymptotic) | Ma = 1.17107 Reduced mass | Mr = 0.270822

Polaron radius | R = 0.0722548

                  DC Mobility Information:                         

Finite temperature mobility | μ = 0.487357 FHIP low-temp. mobility | μFHIP = 2.93118 Devreese low-temp. mobility | μD = 0.703373 Kadanoff low-temp. mobility | μK = 0.703373 Hellwarth mobility | μH = 1.09655 Hellwarth mobility (b=0) | μH0 = 1.09824

Kadanoff relaxation time | τ = 0.964611

              Frequency Response Information:                      

Electric field frequency | Ω = 0 Memory function | χ = Inf+0.0im Complex impedance | z = 0.0+Inf*im

Complex conductivity | σ = 0.0+0.0im

```

To do the same for a Holstein polaron use save_holstein_polaron and load_holstein_polaron.

Further details in the documentation.

Research outputs

The central output of this model are temperature-dependent polaron mobilities:

MAPI Polaron mobility, plotted vs experimental data

From the variational solution, you have characterised the polarons in your system. This gives access to the effective mass renormalisations (phonon drag), polaron binding energies, effective electron-phonon coupling parameters, etc.

Community guidelines

Contributions to the code (extending that which is calculated), or additional physical systems / examples, are very welcome.

If you have questions about the software, scientific questions, or find errors, please create a GitHub issue.

Reference

If you find this package (or snippets, such as the entered and tested free-energy expressions) useful for your work, please cite the paper Frost2017PRB.

@article{Frost2017, doi = {10.1103/physrevb.96.195202}, url = {https://doi.org/10.1103/physrevb.96.195202}, year = {2017}, month = {nov}, publisher = {American Physical Society ({APS})}, volume = {96}, number = {19}, author = {Jarvist Moore Frost}, title = {Calculating polaron mobility in halide perovskites}, journal = {Physical Review B} }

These codes use the Optim.jl optimisation library to do the essential calculation of the Feynman variational theory. DOI

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Dependencies

.github/workflows/CI.yml actions
  • actions/cache v1 composite
  • actions/checkout v2 composite
  • codecov/codecov-action v1 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-processcoverage v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v1 composite
.github/workflows/TagBot.yml actions
  • JuliaRegistries/TagBot v1 composite
.github/workflows/documentation.yml actions
  • actions/checkout v2 composite
  • julia-actions/setup-julia latest composite