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Nb-Characterization

DFT

--Insert the name of the file associated to this phase of the characterization-- --Insert the required steps below and mark the ones that have been already completed-- --Insert the data extrapolated from the simulations--

AFM

--Insert the name of the file associated to this phase of the characterization-- --Insert the required steps below and mark the ones that have been already completed-- --Insert the data extrapolated from the analysis--

Resistivity

Resistivity and Mean Free Path

  1. $\rho (T)$ via VDP technique. MORE DETAILED IN ./R-vs-T/readme.md
    • Iterative solution of the VDP equation from $R_{front}$ and $R_{back}$.
      • Filter data (we can try both methods):
      • Discard high $\Delta$T for $R_{front}$ and $R_{back}$.
      • Discard $R_{front}$ and $R_{back}$ corresponding to high T fluctuation.
    • Plot $\rho (T)$.
      • Merge proper datasets to obtain complete curve from 300k to 2.9k.
  2. Condcutivity $\sigma (T)$
    • Through $n$ and $m^{*}$ from DFT.
    • Through $v_f$ and DOS from DFT.
      • In both cases one parameter is exact (n and DOS) and the other is approximated ($m^{*}$ and $v_f$).
    • Find $\tau$.
      • Not easy to compare $\tau$ with literature, so we find and discuss $l$ instead.
    • Ioffe-Regel parameter calculation: we want it greater than 1 amap.
      • Calculation explicitely requested for low T above Tc, suggested also for higher T.

Resistivity vs Temperature

  1. RRR calculation
    • Discussion of RRR wrt thickness and mean free path. Comparison with literature.
  2. Bloch Gruneisen Model FIT
    • Fundamental parameters: $\rho_0$, n, $\Theta_{BG}$.
      • We can let them free, but it's not easy to obtain proper fit.
      • We can set $\rho_0$ since we have it.
      • A way to determine n is to plot $ln(\rho - \rho_0)$ vs $ln(T)$. This plot will hae initial angular coefficient equal to n! But $\rho_0$ must be really precise.
    • The fit is always linear for high T.
    • Great focus on the scattering crossover (where the curve changes power)
      • If from the fit we get n=5 there are no big problems, material is quite good.
      • If we obtain something smaller than 5, we need to distinguish among different scattering mechanism, identifying which is the dominant one.
      • If $n \sim 2$, the material is strongly correlated.
    • From the A coefficient we determine $\lambda_{TR}$, to compare with DFT and literature.

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