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Measuring the Band Gap of a Semiconductor: An Experiment in Physics, Study notes of Physics

A physics experiment designed to determine the band gap energy of a semiconductor material. The experiment involves measuring the resistance of a thermistor at varying temperatures and analyzing the data to calculate the band gap energy. A detailed theoretical background, experimental procedure, results, analysis, and conclusions, making it a valuable resource for students studying semiconductor physics and materials science.

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2023/2024

Available from 01/16/2025

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EXPERIMENT 8: Measuring the band gap of a semiconductor

Objectives

 To determine the gap energy for a semiconductor material by measuring the resistance of a thermistor as a function of temperature.

Apparatus Thermistor, oil bath (silicon oil), digital meter, thermometer

Experimental procedure  A thermistor and a very high input impedance digital meter were used for the experiment.  The thermistor was placed in an oil bath (silicon oil).  The temperature and resistance of the thermistor at room temperature was recorded.  The oil was heated gradually, stirring gently. In increasing steps of 10 C, the temperature and resistance of the thermistor was recorded up to T=100^0 C.  The temperature was converted from 0 C to K and a graph of lnR against 1 was 𝑇 plotted.  The plot was analysed according to theory.

Theory

 “Band gap” or “energy gap” refers to an energy range in a solid where no electron states can exist.  It signifies the energy difference between the top of the valence band to the bottom of the conduction band; electrons are able to jump from one band to another. Equivalently it is the energy required to free an outer shell electron from its orbit about the nucleus to become a mobile charge carrier, able to move freely within the solid material.  In order for an electron to jump from a valence band to a conduction band, it requires a specific minimum amount of energy for the transition, termed the band gap energy.  The band gap energy of insulators is large (> 4eV), but lower for semiconductors (< 3eV). The band gap properties of a semiconductor can be controlled by using different semiconductor alloys such as GaAlAs, InGaAs, and InAlAs. Conductors either have very small band gaps or none, because the valence and conduction bands overlap.  The Fermi level or “chemical potential” is the energy that concerns electrons in a semiconductor and is located in the band gap. The probability of the occupation of an energy level is based on the Fermi function.  An intrinsic semiconductor is ideally a perfect crystal. When an electron in an intrinsic semiconductor gets enough energy, it can go to the conduction band and leave behind a hole. This process is called “electronhole pair (EHP) creation”.  Extrinsic semiconductors are made by introducing different atoms, called dopant atoms, into the crystal.

Eg σ = B 𝑒^2 𝐾𝐵𝑇^ (1)

R=

D = D^ (2) σ Eg B 𝑒^2 𝐾𝐵𝑇

Analysis

Graph of lnR against 𝟏^ analysis: 𝑻  number of variables, N = 85; ∑^ 𝑥 = 0.258; ∑^ 𝑦 = 242.75; ∑^ 𝑥^2 = 0.000788; ∑^ 𝑦^2 = 789.94; ∑^ 𝑥𝑦 = 0.757;  x average, x = ∑^ 𝑥^ = 0.258^ = 0.00304; 𝑁 85  y average, y = ∑^ 𝑦^ = 242.75^ = 2.86; 𝑁 85 2 (∑^ 𝑥) (^2) 0.258 (^2) -  Sxx = ∑ 𝑥 − (^) 𝑁 =^ 0.000788^ − 85 =^ 4.36*10^ ;

 Syy = ∑ 𝑦^2 −

(∑ 𝑦)^2 𝑁 =^ 789.94^ −^

242.75^2 85 =^ 96.69;  Sxy = ∑ 𝑥𝑦 − ∑ 𝑥 ∑ 𝑦 = 0.757 − 0.258∗242. 𝑁 ^ =^ 0.0205;  slope of line, m =

𝑠𝑥𝑦 = 0.0205

85 = 4 708; 𝑠𝑥𝑥 4.36∗10−^6  intercept, b = y - mx = 2.86 – 4708*0.00304 = -11.44;

2  standard deviation about regression line, s = √

𝑠𝑦𝑦− 𝑚 𝑠 (^) 𝑥 𝑥 = √

96.69− 47082 ∗4.36∗10−^6

0.0216;

r (^) 𝑁− (^2) 85−

 standard deviation of the slope, s = 𝑠𝑟

2 = √ 0.0216^2 = 10.36; m (^) 𝑠 𝑥𝑥 4.36∗10−^6  standard deviation of the intercept, s (^) 𝑠 √ ∑^ 𝑥^2 0.0216 √ 0.

b (^) 𝑟 (^) 𝑁 ∑ 𝑥 (^2) −(∑ 𝑥) (^2) 85∗0.000788−0.258 2

 from y = c + mx, c = b = -11.44 and m= 4708.  lnR = C + Eg^1 , therefore lnR = -11.44 + 4708

1 

 m = Eg 2 𝐾𝐵 

2 𝐾𝐵 T T

 therefore Eg = m* 2 𝐾𝐵 = 4 70828.617×10−^5 = 0.811 eV.

 As expected the plot was a linear graph.  The gradient was found to be large as well.  The calculated gap energy, Eg, of the unknown semiconductor is 0.811 eV.  The known, accepted value for Silicon (Si) semiconductor is 1.11 eV and that for Germanium (Ge) is 0.67 eV.  Therefore the unknown semiconductor is Germanium.   The difference of the computed value from the actual value suggests that there were some errors introduced.  Sources of errors in the experiment were possibly due to: o Random errors in the reading of the temperature from the analogue thermometer. o Moments were stirring speed was increased; it was difficult to take accurate resistance in time hence estimates were taken for those cases. o There could have been impurities on the semiconductor to affect the conductivity. Therefore the measured intrinsic gap energy would be slightly distorted.  Even though there were some sources of errors, the standard deviation about regression line, which represents the error, is so small that the results can be considered valid.

Conclusions  The gap energy for the semiconductor is 0.811 eV.  The sample semiconductor used is Germanium.

References

  1. CJ Sheppard, S Jacobs, & B.P. Doyle. (First Semester 2011). PHYSICS 2A PRACTICAL GUIDE. University of Johannesburg. RSA.
  2. http://www.chembio.uoguelph.ca/educmat/chm729/band/fl.htm
  3. http://www.ece.umd.edu/~dilli/courses/enee313_spr09/files/supplement1_carrierconc .pdf