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Liquid-Vapor Equilibrium of a Binary System

Adapted by J. M. McCormick from an exercise used at the University of Kansas.

Last Update: December 19, 2012

Introduction

The understanding of the equilibrium between the liquid and vapor phases in a multi-component system is important industries ranging from brewing to petroleum refining. In this exercise you will be examining the chloroform-acetone system and comparing your results to literature values.  You are referred to the literature for more information on the theory involved. 1-3

The procedure is similar to that described in the literaure. 1,2   However, instead of the apparatus described in these references, the one shown in Fig. 1 will be used.  The modified apparatus is designed so that there is very little liquid hold-up and that the small amount of liquid that is condensed from the vapor has almost the same composition as the vapor. The apparatuses described in the literature either require that a substantial amount of liquid be vaporized and condensed (which causes the liquid and vapor compositions to change continuously and so the condensate composition is a rather poor representation of the vapor composition and the temperature changes continuously, which introduces an unacceptably large uncertainty into the results), 1 or are too expensive to construct. 2

   

Figure 1.   Distillation apparatus to be used in this exercise (schematically on the left and an actual view on the right).  The hoses that supply water to the condenser have been removed and the optional aluminum foil wrapping are not shown in the photograph of the apparatus for the clarity’s sake.

In the kit for this exercise you will find the items listed in Table 1.  Please check that everything is present and in good condition before beginning.

NumberItem
1100 ml 19/22 Two-neck round bottom flask
110 ml Glass syringe
11 ml Hamilton gas-tight syringe
1Short needle in a protective case
1Long needle
1Blue (19/22) Keck clip
1Distillation assembly (includes o-ring)
1Vial containing 13 mm septum liners
SeveralSeptum stoppers
1Vernier temperature probe
1Vial of boiling chips
SeveralSmall vials

Table 1. Equipment needed for this exercise included in the kit.

Calibrate the temperature probe at three points (0 °C, room temperature, and 100 °C are convenient). Helpful hint: the calibration of the temperature probe can be done while the apparatus is being assembled. Click here to review operation of the LabPro and the LoggerPro software that controls it.

Assemble the distillation apparatus as shown in Fig. 1 (check with the instructor for assistance). You may wish to wrap the glass portions of the reflux apparatus below the condenser with aluminum foil to help obtain a stable reflux temperature. Place a septum liner on the vapor condensate collection arm (A in Fig. 1) and a septum stopper in smaller arm of the round bottom flask (B in Fig. 1). Insert the temperature probe through the orange retaining nut and then through an o-ring.  Carefully place it in position (C in Fig. 1) such that the temperature probe is upright (a small clamp will be needed) and the o-ring is not kinked or bent, and then gently tighten down the retaining nut.  In addition to the small clamp on the temperature probe, you should clamp the apparatus just above the neck of the round bottom flask and on the condenser, as shown in Fig. 1.  The blue Keck clip should be used to hold the round bottom flask to the distillation head.

Load the flask with 40 ml CHCl 3 (for the CHCl 3 -rich solution), or 30 ml acetone (for the acetone-rich solution) and a few boiling chips. CAUTION! Both CHCl 3 and acetone are highly flammable, and CHCl 3 has adverse health effects. Carefully start heating the flask until reflux begins. Record the barometric pressure now, and at several additional times during the course of the experiment (ideally this should be done before a sample is taken).  Apply the correction to the pressure indicated on the barometer. 4

When liquid is seen refluxing in the lower portion of the condenser and the temperature reading is stable (i. e., remains unchanged for several minutes), record the temperature.  Confirm that the temperature corresponds to the boiling point of the liquid in the distillation apparatus. Using a clean, dry syringe equipped with the long needle, remove a sample (approximately 0.05 mL each) from the liquid that has collected below the condenser (representing the vapor’s composition) and from the distillation flask (liquid composition).  It is advised that you first remove the condensate (through the top of the condenser using the long pipetting needle), and then remove the sample from the distillation flask. Do not leave the needle poking through the septum afterwards. Carefully place the samples in marked vials and immediately measure the index of refraction of each sample using the Abbé refractometer . Evaporation of the sample in the refractometer can be a problem, so work quickly. Confirm that the condensate and the liquid in the distillation flask have the same index of refraction and that both match the literature value for the solvent in the flask.  This procedure serves two purposes: 1) it allows us to find any systematic error (and determine any correction factor to apply), and 2) the instrument will then be set near to the index of refraction to be measured, thus minimizing the time needed to make each subsequent measurement.

The index of refraction as a function of the mass percent of chloroform in acetone-chloroform mixtures is given in Table 2 (click here to download this table as an Excel file).  If your index of refraction lies between two tabulated values, you may make a simple linear extrapolation from the two nearest tabulated points. An alternative method is to fit the index of refraction data to an empirical function in mass percent chloroform in Excel or LoggerPro, and then simply use this function to find the composition from a measured index of refraction.

n %CHCl n %CHCl n %CHCl n %CHCl
1.35620.001.378023.501.400047.551.422072.85
1.35700.751.379024.601.401048.701.423074.10
1.35801.751.380025.651.402049.801.424075.30
1.35902.751.381026.701.403050.901.425076.50
1.36003.801.382027.801.404052.001.426077.70
1.36104.851.383028.851.405053.101.427078.95
1.36205.901.384029.951.406054.201.428080.20
1.36307.001.385031.001.407055.301.429081.40
1.36408.101.386032.051.408056.451.430082.65
1.36509.201.387033.151.409057.601.431083.90
1.366010.301.388034.251.410058.751.432085.15
1.367011.401.389035.301.411059.901.433086.40
1.368012.501.390036.401.412061.051.434087.70
1.369013.601.391037.501.413062.251.435089.00
1.370014.701.392038.601.414063.401.436090.35
1.371015.801.393039.751.415064.551.437091.65
1.372016.901.394040.851.416065.751.438093.00
1.373018.001.395042.001.417066.901.439094.35
1.374019.101.396043.101.418068.101.440095.75
1.375020.201.397044.251.419069.301.441097.20
1.376021.301.398045.351.420070.501.442098.55
1.377022.401.399046.451.421071.701.4431100.00

Table 2. Refractive index of acetone-chloroform mixtures as a function of the mass percent chloroform in the mixture.

Add 5 ml of acetone or CHCl 3 , whichever is appropriate, to the flask through the septum stopper at B via syringe. After the system has stabilized, remove a sample of the distillate and a sample from the flask and measure the index of refraction of each.  Repeat the addition, equilibration and withdrawal of sample steps at least five or six times.  By working efficiently you should be able to complete the CHCl 3 -rich portion in the first week, the acetone-rich portion in the second week and in the third week obtain additional data to correct any gross errors from the first two weeks or to improve data quality.   As you are attempting to measure accurately and precisely the composition and boiling point of the azeotrope, it is advisable to overlap the regions studied and to use the third week to improve the quality of your data.  To overlap the data, one could keep adding CHCl 3 to the acetone when you are doing the acetone-rich system to make the solutions CHCl 3 -rich.  It is easier to sequentially add one component to the flask to give a new mixture than it is to make up a fresh mixture each time.  However, it is critical that only the minimum amount (~0.05 ml) of the distillate and the solution in the flask be removed for analysis.  If the total volume is sufficiently large and amount withdrawn is small, you do not need to correct for the material removed, but this assumption should be checked during the experiment.

When work for the day has been completed, allow the flask and the reflux apparatus to cool to room temperature, disassemble the set up and return it to the storage box. Place all liquids in the appropriate waste solvent container. Remove and discard the septum. Examine the septum liner, and discard it if damaged.

Results and Analysis

Prepare a liquid-vapor phase diagram (temperature as a function of the liquid’s composition).  It is highly recommended that you prepare this diagram as you obtain the data.  In this way you can correct any gross errors immediately.  The data points should form four smooth curves (one for the liquid and one for the vapor on either side of the azeotrope) with minimal deviations from the curve.  Note that none of these lines are expected to be straight. 1 The final version of your diagram, showing your fits to the data, must be included in the Results section of your report.  You also must report the azeotrope’s composition and boiling point and their accepted values. 5

While you can model the relationship between the temperature and composition for each phase using four separate empirical equations to predict the azeotrope’s composition and boiling point, the data may be modeled based on the physical properties of the liquids. 2   We can write the total pressure for a non-ideal system consisting of two liquids, A and B, using Dalton’s law of partial pressures as Eqn. 1, where P tot is the total pressure, P A 0 and P B 0 are the vapor pressures of the pure liquids, γ A and γ B are the activity coefficients of each compound in the liquid mixture, and χ A and χ B are the mole fractions of the compounds in the liquid phase (note that the mole fraction of component i in the vapor phase would be y i = P i / P tot ).

  (1)

The two-parameter van Laar equation for a binary system can be used to model the activity coefficients, and these are shown for each component as Eqn. 2, where the parameters k AB and k BA take into account molecular size and the interactions between the molecules. 6

  (2a)
  (2b)

It is possible to determine the values of k AB and k BA , if we know the composition of the azeotrope, because the activity coefficient of each component at the azeotropic composition, γ A,az and γ B,az , is related to its vapor pressure at the azeotrope’s boiling point ( P 0 A,az and P 0 B,az ) and the total pressure at the azeotrope’s boiling point, P az , by Eqn. 3.

  (3a)
  (3b)

Making this substitution and rearranging gives Eqn. 4, where  χ A,az and χ B,az are the mole fraction of each component of the liquid mixture with azeotropic composition. We could simplify the equations further, if we wish, by remembering that since this is a binary mixture χ A + χ B = 1 (and thus χ A,az + χ B,az = 1).

  (4a)
  (4b)

If you now refer back to Eqn. 1, you will see that we have relationships between most of the variables in this expression.  The only things that are missing are the vapor pressure of each liquid at each temperature.  However, we can calculate these using the Antoine equation (Eqn. 5) using information available on-line at NIST . In Eqn. 4, a , b and c are empirical parameters that are unique to a compound, T is the temperature (either in Celsius or Kelvin) and P is the vapor pressure (usually in bar).

  (5)

You have data that consists of temperature and the composition of the liquid at some ambient pressure.  Since boiling is occurring, we know that P tot and the ambient pressure must be the same.   If you substitute Eqn.s 4 and 5 into Eqn. 1, you will then have an equation that relates the pressure at which boiling occurs (which you measured) with the composition of the liquid (which you measured), the azeotropic composition and the temperature.  Since this equation could be written for each of your data points, you will have a system of equations that could be iteratively solved for the composition of the azeotrope and its boiling point.  This may be done in Excel , or other mathematical software package, although a spreadsheet may be the easiest way to enter the data and perform the calculations.  If you use Excel’s Solver package, you will need to provide a starting point for the fitting routine, which you can obtain by estimating χ A,az , χ B,az and T from your data.  See reference 2 for more information and helpful hints on how to perform this fit.

1. Garland, C. W.; Nibler, J. W. and Shoemaker, D. P. Experiments in Physical Chemistry, 7 th Ed. ; McGraw-Hill: New York, 2003, p. 208-215.

2. Halpern, A. M. and McBane, G. C. Experimental Physical Chemistry, 3 rd Ed. ; W. H. Freeman: New York, 2006, p. 14.1-14.14.

3. Atkins, P. and de Paula, J. Physical Chemistry, 8 th Ed. ; W. H. Freeman: New York, 2006, p. 179-184.

4. Brombucher, W. G.; Johnson, D. P. and Cross, J. L. Mercury Barometers and Manometers, National Bureau of Standards Monograph 8 ; Washington, D. C., 1960.

5. CRC Handbook of Chemistry and Physics, 64 th Ed. ; Chemical Rubber Company: Boca Raton, FL, 1983, p. D13.

6. Prausnitz, J. M.; Lichtenhaler, R. N. and de Azevedo, E. G. Molecular Thermodynamics of Fluid-Phase Equilibria, 3 rd Ed. ; Prentice Hall: Upper Saddle River, NJ, 1999, p. 250-254.

  • DOI: 10.1021/ED075P1125
  • Corpus ID: 95810760

Raoult's Law: Binary Liquid-Vapor Phase Diagrams: A Simple Physical Chemistry Experiment

  • Published 1 September 1998
  • Journal of Chemical Education

15 Citations

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Raoult's law: Binary liquid-vapor phase diagrams: A simple physical chemistry experiment

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Experimental Procedure

A Beckman model DU 7500 diode array LTV-vis spectrophotometer was used for the spectrophotometric measurements, but a scanning instrument would also work. A standard UV quartz 10-cm cylindrical cell was used for the samples. Reagent-grade solvents (acetone, methyl ethyl ketone, methyl isopropyl ketone, methyl isobutyl ketone, toluene, and orthoxylene) were used without further purification.

Students were instructed to select a binary ketonearomatic system and to make up five mixtures with (accurately known) mole fractions of about 0.00, 0.25, 0.50, 0.75, and 1.00. The cell was to be loaded with each of these solutions individually in the following way. Two small (pea-sized) cotton balls were put into the solution to be measured. While holding the cell with the entrance ports upside down, students carefully inserted each of the wet cotton balls into the ports, being careful not to introduce liquid or the cotton balls into the body of the cell (Figs. la and lb). The ports were then covered with septum caps to minimize evaporative loss; and finally, the cell was placed into the cell holder of the spectrophotometer (Fig. 2). After allowing a few minutes for the cell temperature to equilibrate, students measured and analyzed the vapor spectrum. When it reached equilibrium, the cell still contained liquid solution on the cotton balls in the entrance ports and vapor over this solution which filled the body of the cell and the 10-cm light path. The amount of vaporization was assumed to have a negligible effect on the liquid solution composition. The procedure was then repeated for each of the prepared mixtures.

Cotton was used to provide a small reservoir of liquid in the cell without allowing the liquid to coat the cell windows. The spectrum desired is that of the vapor phase and not that of the liquid phase, so it is important that the windows of the cell remain dry. Although cotton, being hydrophilic, could suppress the vapor pressure of the more polar liquid component, this effect is believed to be small when the cotton is thoroughly saturated with liquid. The polar sites on the cotton fibers are believed to be saturated with the polar (ketone) molecules without any significant change in liquid composition occurring as a result of this selective adsorption.

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8.6: Phase Diagrams for Binary Mixtures

  • Last updated
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  • Page ID 84341

  • Patrick Fleming
  • California State University East Bay

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As suggested by the Gibbs Phase Rule, the most important variables describing a mixture are pressure, temperature and composition. In the case of single component systems, composition is not important so only pressure and temperature are typically depicted on a phase diagram. However, for mixtures with two components, the composition is of vital important, so there is generally a choice that must be made as to whether the other variable to be depicted is temperature or pressure.

Temperature-composition diagrams are very useful in the description of binary systems, many of which will for two-phase compositions at a variety of temperatures and compositions. In this section, we will consider several types of cases where the composition of binary mixtures are conveniently depicted using these kind of phase diagrams.

Partially Miscible Liquids

A pair of liquids is considered partially miscible if there is a set of compositions over which the liquids will form a two-phase liquid system. This is a common situation and is the general case for a pair of liquids where one is polar and the other non-polar (such as water and vegetable oil.) Another case that is commonly used in the organic chemistry laboratory is the combination of diethyl ether and water. In this case, the differential solubility in the immiscible solvents allows the two-phase liquid system to be used to separate solutes using a separatory funnel method.

Figure 1.png

As is the case for most solutes, their solubility is dependent on temperature. For many binary mixtures of immiscible liquids, miscibility increases with increasing temperature. And then at some temperature (known as the upper critical temperature), the liquids become miscible in all compositions. An example of a phase diagram that demonstrates this behavior is shown in Figure \(\PageIndex{1}\). An example of a binary combination that shows this kind of behavior is that of methyl acetate and carbon disufide, for which the critical temperature is approximately 230 K at one atmosphere (Ferloni & Spinolo, 1974). Similar behavior is seen for hexane/nitrobenzene mixtures, for which the critical temperature is 293 K.

Figure 2.png

Another condition that can occur is for the two immiscible liquids to become completely miscible below a certain temperature, or to have a lower critical temperature. An example of a pair of compounds that show this behavior is water and trimethylamine. A typical phase diagram for such a mixture is shown in Figure \(\PageIndex{2}\). Some combinations of substances show both an upper and lower critical temperature, forming two-phase liquid systems at temperatures between these two temperatures. An example of a combination of substances that demonstrate the behavior is nicotine and water.

The Lever Rule

The composition and amount of material in each phase of a two phase liquid can be determined using the lever rule . This rule can be explained using the following diagram.

Figure 3.png

Suppose that the temperature and composition of the mixture is given by point b in the above diagram. The horizontal line segment that passes through point b, is terminated at points a and c, which indicate the compositions of the two liquid phases. Point a indicates the mole faction of compound B ( \(\chi_B^A\) ) in the layer that is predominantly A, whereas the point c indicates the composition ( \(\chi_B^B\) )of the layer that is predominantly compound B. The relative amounts of material in the two layers is then inversely proportional to the length of the tie-lines a-b and b-c, which are given by \(l_A\) and \(l_B\) respectively. In terms of mole fractions,

\[ l_A = \chi_B - \chi_B^A \nonumber \]

\[ l_A = \chi_B^B - \chi_B \nonumber \]

The number of moles of material in the A layer (\(n_A\)) and the number of moles in the B layer (\(n_B\)) are inversely proportional to the lengths of the two lines \(l_A\) and \(l_B\).

\[ n_A l_A = n_B l_B \nonumber \]

Or, substituting the above definitions of the lengths \(l_A\) and \(l_B\), the ratio of these two lengths gives the ratio of moles in the two phases.

\[ \dfrac{n_A}{n_B} = \dfrac{l_B}{l_A} = \dfrac{ \chi_B^B - \chi_B}{\chi_B - \chi_B^A} \nonumber \]

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Journal of Laboratory Chemical Education

p-ISSN: 2331-7450    e-ISSN: 2331-7469

2022;  10(2): 25-37

doi:10.5923/j.jlce.20221002.02

Received: Jul. 4, 2022; Accepted: Aug. 3, 2022; Published: Aug. 15, 2022

Microsoft Excel Solver-assisted Composition Determination to Improve the Experiment of Liquid-Vapor Phase Diagram Construction

Hong Shen , Yayue Mei , Tingxue Xie

Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, China

Email:

Copyright © 2022 The Author(s). Published by Scientific & Academic Publishing.

Since liquid-vapor equilibrium is one of the essentials in thermodynamics to design and optimize separation processes, and phase equilibria require a good understanding of phase diagrams, “Constructing Liquid-Vapor Phase Diagram for Two Completely Miscible Components Systems” often serves as a common experiment in physical chemistry course. In the experiment, the compositions of the binary system, determined both from the liquid and the vapor phases at equilibrium, are regarded as the key data in deriving the overall system point in phase diagram. Here, a practical computer-assisted data processing protocol by using Microsoft Excel Solver is introduced for obtaining the system composition. Combined with the measured refractive index of a standard mixture of the binary system, the composition of any sample mixture of the system can be optimally solved from its refractive index for the phase diagram construction. The paper presents the attempt to improve the experiment, displaying the optimally-solving procedure. The accuracy and feasibility of the approach are verified, and its expanding application prospect in differential refractive index detection are discussed.

Keywords: Phase Diagram, Excel Solver, Composition Determination, Refractive Index

Cite this paper: Hong Shen, Yayue Mei, Tingxue Xie, Microsoft Excel Solver-assisted Composition Determination to Improve the Experiment of Liquid-Vapor Phase Diagram Construction, Journal of Laboratory Chemical Education , Vol. 10 No. 2, 2022, pp. 25-37. doi: 10.5923/j.jlce.20221002.02.

Article Outline

1. introduction.

(1)
(2)
(3)
(4)

2. Optimally-Solving Procedure

Excel spreadsheet with Solver dialog window for solving the composition of ethanol−cyclohexane mixture (assumed as ideal solution in and conversion

3. Results and Discussion

3.1. comparative features of the composition determination.

Comparison of the actually-prepared compositions of six binary mixtures with those optimally-solved based on the L-T or the L-L equation
Comparison of the actually-prepared compositions of ethanol-water mixture with those optimally-solved based on the L-T or the L-L equation, and those from the image of the RI function according to the L-T equation (Note: for optimally-solving on the L-T equation to obtain trace blue, it needs to be carried out separately on both sides of the RI maximum, i.e., 0 ≤ ≤ 0.8 and 0.8 ≤ ≤ 1, respectively.)

3.2. Phase Diagram Construction Practice

Phase diagrams constructed from the optimally-solved compositions based on the L-T equation

4. Expanding Application Prospect

(5)
(6)

5. Conclusions

Supplementary material (1).

Correlation of RIs (in grey cells) against compositions ( ) of ethanol−cyclohexane mixture
     
CAS numbers of all reagents used in this work
     
The Optimally-Solved Compositions Compared with The Actually-Prepared Ones Corresponding to The Same RI ( ) in Following Six Binary Systems
     
(continued)
     
The Optimally-Solved Compositions Compared with The Actually-Prepared Ones Corresponding to The Same RI ( ) in Ethanol-Water System
     
RMSD and NRMSD of Optimally-Solved Compositions Based on the L-T Equation Actually-Prepared Ones
     
Paired Sample Test of Optimally-Solved Compositions on the L-T Equation the Ones Actually-Prepared
     
Optimally-Solved Liquid-Vapor Equilibrium Data Based on the L-T Equation
     

Supplementary Material (2)

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Absorption, Desorption, and Mechanism Investigation of Dilute SO 2 in the 1,3-Propanediol + Dimethyl Sulfoxide Binary System

  • Published: 13 June 2024

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binary liquid vapor phase diagram experiment

  • Huifang Guo 1 , 2 , 3 ,
  • Ying Zhang 1 , 2 , 3 ,
  • Qiaomin Zhang 1 , 2 , 3 ,
  • Jia Liu 1 , 2 , 3 &
  • Xiaohong Xie 1 , 2 , 3  

In this work, the absorption of sulfur dioxide (SO 2 ) was investigated using the 1,3-propanediol (PDO) + dimethyl sulfoxide (DMSO) system, and the gas−liquid equilibrium (GLE) data were analyzed over a temperature range of 298.15–318.15 K (with a temperature gradient of 5 K) at a pressure of 123.15 kPa. By fitting the gas–liquid equilibrium data, it is observed that the process of absorption SO 2 conforms to Henry’s Law. The change in specific entropy, enthalpy, and Gibbs free energies of the SO 2 absorption process was as well calculated. In addition, the capture and regeneration properties of the PDO + DMSO system were investigated under atmospheric pressure, and the results of regeneration experiments demonstrated that 97.3% of SO 2 could be desorbed by heating and bubbling with N 2 . Furthermore, there was no notable reduction in absorption capacity of the absorbent solvents after multiple cycles. Finally, the FTIR spectra and computational information were noted to analyze the interaction between SO 2 and the system. As a result, an intermolecular hydrogen bonding association between PDO, DMSO, and SO 2 can be inferred.

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Acknowledgements

This work was supported by the Natural Science Foundation of Inner Mongolia Autonomous Region (Grant Number: 2019LH02008).

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Huifang Guo, Ying Zhang, Qiaomin Zhang, Jia Liu & Xiaohong Xie

Inner Mongolia Engineering Research Center for CO2 Capture and Utilization, Hohhot, 010051, China

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Huifang Guo: Investigation, Writing—original draft. Ying Zhang: Methodology. Qiaomin Zhang: Formal analysis. Jia Liu: Investigation. Xiaohong Xie: Funding acquisition, Writing—review and editing.

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Guo, H., Zhang, Y., Zhang, Q. et al. Absorption, Desorption, and Mechanism Investigation of Dilute SO 2 in the 1,3-Propanediol + Dimethyl Sulfoxide Binary System. J Solution Chem (2024). https://doi.org/10.1007/s10953-024-01390-8

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Composite helical edges from Abelian fractional topological insulators

  • Chou, Yang-Zhi
  • Das Sarma, Sankar

We study an interacting composite $(1+1/n)$ Abelian helical edge state made of a regular helical liquid carrying charge $e$ and a (fractionalized) helical liquid carrying charge $e/n$. A systematic framework is developed for these composite $(1+1/n)$ Abelian helical edge states with $n=1,2,3$. For $n=2$, the composite edge state consists of a regular helical Luttinger liquid and a fractional topological insulator (the Abelian $Z_4$ topological order) edge state arising from half-filled conjugated Chern bands. The composite edge state with $n=2$ is pertinent to the recent twisted MoTe$_2$ experiment, suggesting a possible fractional topological insulator with conductance $\frac{3}{2}\frac{e^2}{h}$ per edge. Using bosonization, we construct generic phase diagrams in the presence of $weak$ Rashba spin-orbit coupling. In addition to a phase of free bosons, we find a time-reversal symmetry-breaking localized insulator, two perfect positive drag phases, a perfect negative drag phase (for $n=2,3$), a time-reversal symmetric Anderson localization (only for $n=1$), and a disorder-dominated metallic phase analogous to the $\nu=2/3$ disordered fractional quantum Hall edges (only for $n=3$). We further compute the two-terminal edge-state conductance, the primary experimental characterization for the (fractional) topological insulator. Remarkably, the negative drag phase gives rise to an unusual edge-state conductance, $(1-1/n)\frac{e^2}{h}$, not directly associated with the filling factor. We further investigate the effect of an applied in-plane magnetic field. For $n>1$, the applied magnetic field can result in a phase with edge-state conductance $\frac{1}{n}\frac{e^2}{h}$, providing another testable signature. Our work establishes a systematic understanding of the composite $(1+1/n)$ Abelian helical edge, paving the way for future experimental and theoretical studies.

  • Condensed Matter - Strongly Correlated Electrons;
  • Condensed Matter - Mesoscale and Nanoscale Physics

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