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04-BS-11 · December 2018

Question 7 of 7: Reading the Diffusivity–Temperature Chart; Phosphorus Diffusion into a Silicon Wafer

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Exam 04-BS-11, Properties of Materials — December 2018. 3 hours, closed-book examination (approved Casio or Sharp calculator only). Notes on the paper state that any five questions constitute a complete paper and only the first five questions appearing in the answer book are marked, with all questions of equal value. All seven questions are solved below for completeness.

Reference texts: Callister & Rethwisch, Materials Science and Engineering: An Introduction, 9th ed. (crystal structure and density, polymers and vulcanization, mechanical properties/tensile testing, phase transformations and heat treatment, corrosion, ceramics and the Weibull distribution, diffusion).

Question 7: Reading the Diffusivity–Temperature Chart; Phosphorus Diffusion into a Silicon Wafer (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

Given. (a) Fig. 1: $\log_{10}D$ vs. $1/T\times1000$ for several oxide and semiconductor diffusion systems (straight lines, negative slope). (b) 1 mm-thick pure-Si wafer; background phosphorus concentration $=1$ P atom per $10^7$ Si atoms; surface concentration raised by a factor of $500$; $D_{P\ \text{in}\ Si}=10.5\times10^{-10}$ m$^2$/s; Si is diamond cubic, $8$ atoms/unit cell, $a_0=0.5431$ nm.

Find. (a)(i) Derive the SI units of $D$. (ii) Interpret the straight-line, negative-slope form of the data. (iii)–(v) Explain three specific comparisons read off the chart. (b) The steady-state diffusion flux, expressed as phosphorus atoms crossing one silicon unit cell per minute.

Approach

(a) follows directly from Fick's first law and the Arrhenius temperature dependence of $D$. (b) treats the wafer as a steady-state Fick's-first-law problem: convert the two given atomic-ratio concentrations into a true volumetric concentration using silicon's own atomic density (from its diamond-cubic unit cell), compute the areal flux, then convert to an atoms-per-unit-cell-per-minute rate using the unit-cell face area.

  1. (i) Units of $D$. Fick's first law is $J=-D\,dc/dx$, with flux $J$ in atoms/(m$^2$·s), concentration $c$ in atoms/m$^3$, and position $x$ in m, so $dc/dx$ has units atoms/m$^4$: $$D=\frac{J}{dc/dx}\ \Rightarrow\ [D]=\frac{\text{atoms}/(\text{m}^2\,\text{s})}{\text{atoms}/\text{m}^4}=\text{m}^2/\text{s}$$ $$\boxed{[D]=\text{m}^2/\text{s}}$$
  2. (ii) Nature of the straight, negative-sloped lines. Diffusivity follows the Arrhenius relation $D=D_0\exp(-Q/RT)$; taking natural logs, $\ln D=\ln D_0-(Q/R)(1/T)$, which is linear in $1/T$ with slope $-Q/R$. A straight line on a $\log D$ vs. $1/T$ plot therefore signals a single, essentially temperature-independent activation energy $Q$ over the plotted range; the negative slope simply means $D$ rises (steeply, exponentially) as temperature rises ($1/T$ falls) — the hallmark of a thermally activated, diffusion-controlled process. A steeper line corresponds to a larger $Q$.
  3. (iii) Oxygen vs. magnesium diffusion in MgO. O$^{2-}$ is a much larger ion ($r\approx0.140$ nm) than the Mg$^{2+}$ cation ($r\approx0.072$ nm). A larger ion must force more lattice distortion to squeeze through the saddle point between adjacent sites, so anion diffusion carries a substantially higher activation energy (a steeper Arrhenius line) than the much smaller, more mobile cation. This is the general rule for oxide ceramics: cation diffusion on the (usually more open) cation sublattice is almost always faster than anion diffusion, so $D_{O\ \text{in}\ MgO}<D_{Mg\ \text{in}\ MgO}$ at any given temperature.
  4. (iv) Mg self-diffusion vs. Ni impurity diffusion in MgO. Ni$^{2+}$ ($r\approx0.069$ nm) is a similarly small cation occupying the same cation sublattice as Mg$^{2+}$, using essentially the same cation-vacancy diffusion mechanism — hence the two Arrhenius lines lie close together, with comparable (not wildly different) activation energies. Mg diffusion here is a true self-diffusion process using the host's native vacancy population, whereas Ni is diffusing as a substitutional impurity; impurity diffusion typically requires a small additional activation energy for local lattice relaxation around the foreign ion (solute–vacancy binding effects), so it trails self-diffusion slightly — consistent with the Mg line sitting just above (higher $D$ than) the Ni line at the same temperature.
  5. (v) Silicon vs. germanium diffusion data. On the chart, the Ge-in-Ge self-diffusion line sits above the Si-in-Si line (higher $D$, shallower slope/lower activation energy) at comparable $1/T$ — diffusion is faster, and requires less thermal activation, in germanium than in silicon at a given absolute temperature. This tracks germanium's lower melting point ($T_{m,Ge}\approx938^\circ$C vs. $T_{m,Si}\approx1414^\circ$C) and its weaker Ge–Ge covalent bond compared with Si–Si — a general trend across the diamond-cubic semiconductor family, where diffusion activation energy scales with bond strength/melting point. Significance: germanium-based processing (dopant diffusion, annealing) can be carried out at correspondingly lower temperatures than silicon processing to reach a comparable doping profile, but germanium devices are also more prone to unwanted dopant spreading during any later high-temperature step.
  6. (b) Silicon's atomic (Si-atom) density. Diamond cubic, $8$ atoms/cell, $a_0=5.431\times10^{-10}$ m $=5.431\times10^{-8}$ cm, so $a_0^3=1.601\times10^{-22}$ cm$^3$: $$N_{Si}=\frac{8}{a_0^3}\approx4.99\times10^{22}\ \text{Si atoms/cm}^3$$ (This matches the well-known handbook silicon atomic density, a good check on the unit-cell data.)
  7. (b) Phosphorus concentrations. Background (bulk) ratio $=1$ P atom per $10^7$ Si atoms; surface ratio raised by a factor of $500$: $$c_{bulk}=\frac{N_{Si}}{10^7}\approx4.994\times10^{15}=0.00499\times10^{18}\ \text{atoms/cm}^3,\qquad c_{surf}=500\,c_{bulk}\approx2.497\times10^{18}\ \text{atoms/cm}^3$$
  8. (b) Steady-state flux. Fick's first law across the $1$ mm ($=0.1$ cm) wafer thickness, with $D=10.5\times10^{-10}\,\text{m}^2/\text{s}=10.5\times10^{-6}\,\text{cm}^2/\text{s}$: $$J=D\,\frac{c_{surf}-c_{bulk}}{\Delta x}=(10.5\times10^{-6})\frac{(2.497-0.00499)\times10^{18}}{0.1} =(10.5\times10^{-6})\frac{2.492\times10^{18}}{0.1}$$ $$J\approx2.62\times10^{14}\ \text{atoms/(cm}^2\text{s)}$$
  9. (b) Atoms per unit cell per minute. Multiply by the unit-cell face area $a_0^2=(5.431\times10^{-8})^2=2.950\times10^{-15}$ cm$^2$ and convert seconds to minutes ($\times60$): $$\text{rate}=J\,a_0^2\times60=(2.62\times10^{14})(2.950\times10^{-15})(60)$$ $$\boxed{\text{rate}\approx46.3\ \text{P atoms per unit cell per minute}}$$

[Figure not reproduced: Fig. Q7(a) — the five lines of the printed Fig. 1 used in parts (iii)–(v), redrawn from the printed chart. The Mg and Ni lines overlap between $1/T\times1000=0.53$ and $0.59$, where Mg sits only $0.2$–$0.6$ of a decade above Ni — the "close to, but higher than" pairing o. See the official exam paper.]

QuantityResult
(a)(i) Units of $D$m²/s
(a)(ii)–(v)Arrhenius trend; cation > anion; Mg self-diff. > Ni impurity diff.; Ge faster than Si
(b) Si atomic density4.99×10²² atoms/cm³
(b) Steady-state flux, $J$2.62×10¹&sup4; atoms/(cm²s)
(b) Diffusion rate≈46.3 P atoms/unit cell/min
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