Open Access Article
Tanmoy Kalita,
Manjet Rajak and
Dhruba Jyoti Kalita
*
Department of Chemistry, Gauhati University, Guwahati-781014, India. E-mail: dhrubajyoti.kalita@gauhati.ac.in
First published on 12th May 2026
Strain engineering enables precise tuning of optoelectronic properties by altering structural design, energy levels, and band gaps through tensile or compressive strain in various directions. While tensile strain promotes ion migration by weakening bonds and lowering activation energy, applying external compressive strain can offset residual tensile strain in perovskite films, enhancing their efficiency and stability. In this study, we have explored the impact of strain on the optoelectronic and photovoltaic properties of (DMA)2SnCl6 [DMA = dimethylammonium ((CH3)2NH2) cation] employing density functional theory (DFT). Strain levels of 2%, 4%, and 6% have been applied in both tensile and compressive modes. Notably, the band gap decreases with increasing strain, irrespective of type. Mechanical property analysis confirms the compound meets most Born stability criteria, ensuring structural integrity. A maximum efficiency of 29.28% under 6% tensile strain along the x-axis underscores the potential of strain engineering to enhance photovoltaic performance.
![]() | (1) |
Strain engineering involves both tensile and compressive in the form of uniaxial, biaxial, or triaxial strain where tensile strain make the material elongated, weakens the chemical bonds, forms deep defect states, lowering the activation energy and enhances the ion migration. Nonetheless, it is possible to compensate for the remaining tensile strain in perovskite films by introducing external compressive strain, which enhances efficiency and stability by raising the activation energy for ion migration.2
Javed et al. looked into the effects of biaxial strains of 2%, 4%, 6%, and 8% on the second monolayer of phenyl-amoniumtiniodide (PH2SnI4) perovskites. DFT is used to study the mechanical stability, band gap tuning, octahedral tilting, structural distortion, and Bader charge analysis of the final configuration. After examination, all the constructions were found to be mechanically stable. The covalently connected structure is ductile, with a prominent stretching mode, under tensile or compressive mode.2 Wu et al. examined the cause of strain in perovskites and how these affect the physical characteristics of materials and photovoltaic devices. Ultimately, they offer a viewpoint on how strain engineering might be used to advance the development of stable, highly effective perovskites.3 Liu et al. investigated the causes of strain on FA-based perovskites and offers methods to alter lattice strain. The purpose of this review is to clarify how strain affects FA-based perovskites, identify viable strain engineering techniques to improve performance, eventually make it easier for these materials to be commercialized.4 Shai et al. reviewed the origins, effects, and control of strain in metal halide perovskites, highlighting its impact on physical properties and solar performance. Their comprehensive analysis promotes interest in strain engineering to enhance performance and stability, supporting the commercialization of perovskite photovoltaics.5 Moreover, Rahman et al. reported a comprehensive first-principles investigation of the strain-dependent electronic and optical properties of inorganic Sr3PI3 perovskite, emphasizing its potential for photovoltaic applications. Their density functional theory calculations, including spin-orbit coupling (SOC) effects, revealed a direct bandgap at the Γ-point, with a slight reduction upon incorporation of relativistic effects. The study demonstrated that compressive strain induces bandgap narrowing, whereas tensile strain leads to bandgap widening, indicating effective bandgap tunability through strain engineering. These electronic modifications were shown to significantly influence the optical response, resulting in strong visible-light absorption and strain-induced red-shift or blue-shift behavior in the dielectric function and absorption spectra. Furthermore, device simulations using the SCAPS-1D framework predicted high photovoltaic performance for Sr3PI3-based solar cells employing SnS2 as the electron transport layer (ETL), highlighting the promise of strain-engineered Sr3PI3 for optoelectronic and photovoltaic applications.6 Similarly, Islam et al. explored the strain-dependent electronic, optical, and mechanical properties of lead-free Ca3PCl3 inorganic perovskite using first-principles density functional theory. Their study showed that Ca3PCl3 is a direct-bandgap material whose bandgap can be effectively tuned by biaxial strain, with compressive and tensile strains inducing red-shift and blue-shift behavior, respectively, in the optical spectra. The material was also reported to exhibit good mechanical stability and ductility under strain, highlighting its potential for strain-engineered photovoltaic and optoelectronic applications.7
In parallel, pressure engineering has been shown to effectively modulate perovskite properties. For instance, Cs2PdBr6 retains structural stability under hydrostatic pressure while exhibiting enhanced mechanical properties and reduced bandgap, leading to improved optical absorption and conductivity.8 Likewise, CsGeI3 demonstrates an optimal bandgap (∼1.37 eV) under slight negative pressure (−0.5 GPa), along with enhanced dielectric response, carrier transport, and optical absorption, confirming its potential for photovoltaic applications.9
Building on this literature survey, a clear research gap remains in the systematic investigation of strain effects in hybrid organic–inorganic double halide perovskites, which have received comparatively less attention than their fully inorganic counterparts despite their potential advantages in stability and tunability. While existing studies demonstrate that both strain and pressure effectively modulate band structure, optical response, and mechanical properties in inorganic and simple hybrid systems, comprehensive analyses of hybrid double perovskites, where organic cations introduce additional structural flexibility, dielectric screening, and defect tolerance are still lacking. In particular, the role of organic components in mediating strain-induced electronic transitions, octahedral distortions, and overall optoelectronic performance remains insufficiently understood, thereby motivating further investigation in this class of materials.
Motivated by these gaps and the growing demand for environmentally benign photovoltaic materials, the present study systematically investigates the strain-dependent mechanical, optoelectronic, and photovoltaic properties of the lead-free hybrid double halide perovskite: (DMA)2SnCl6. The primary purpose of choosing lead-free double halide perovskite for this investigation is because they are safer alternative for environmental and health concerns.10–12 Moreover, these kinds of materials exhibit higher stability under ambient conditions and high-intensity illumination compared to lead halide perovskites.10,11 Strain was applied to the material at levels of 2%, 4%, and 6% through both tensile and compressive modes. To assess the impact of variable strain on the electronic properties, we have calculated the band gap (Eg) values for the selected material with the respective strain percentage. For further study of the optical and photovoltaic properties, we have evaluated the real and imaginary parts of complex dielectric function(ε), absorption coefficients (α), open circuit voltage (Voc), short-circuit current density (Jsc) and the theoretical power conversion efficiency (η), respectively.
In first-principles simulations, externally applied strain is commonly restricted to small magnitudes in order to probe the elastic deformation regime, where lattice distortions are reversible and the crystal symmetry remains intact. Within this regime, strain primarily modifies bond lengths and bond angles, leading to systematic shifts in band edges and bandgap values without inducing plastic deformation or phase transitions. Consequently, analyzing material properties under controlled elastic strain provides physically meaningful insights into structure–property relationships relevant for device applications.2,13
To validate the applied methodology, initially self-consistent field (SCF) computations have been carried out using an experimentally reported compound, Cs2AgBiCl6. This compound was chosen because it shares a similar architecture to the designed compound being studied, making it an appropriate reference for comparison. Five different types of exchange–correlation (XC) functionals have been employed to ensure a comprehensive evaluation: local density approximation (LDA),17 Perdew–Burke–Ernzerhof (PBE),18 PBE0,19 Perdew–Burke–Ernzerhof revised for solids (PBEsol),20 and the Heyd–Scuseria–Ernzerhof hybrid functional (HSE06).21 It is well established that GGA-based functionals, including PBE, generally tend to underestimate electronic band gaps due to their approximate treatment of exchange–correlation effects.22–24 Although the comparative results summarized in Table S1 of SI, reveal that the PBE XC functional shows the closest agreement with the experimentally reported value (experimental band gap = 2.2 eV) for this compound,25,26 such agreement may arise from error cancellation rather than intrinsic accuracy. In contrast, hybrid functionals such as HSE06 generally provide improved absolute bandgap values, as demonstrated in prior studies on halide perovskites.26–28
Nevertheless, GGA functionals such as PBE are widely recognized to reliably capture the qualitative features of electronic structure and, importantly, the relative trends induced by external perturbations such as strain. Therefore, in the present work, PBE is employed as a computationally efficient and internally consistent framework to investigate strain-dependent variations in electronic and optical properties. The conclusions are thus based on relative changes in band structure, while the absolute values of derived photovoltaic parameters (e.g., open-circuit voltage and power conversion efficiency) should be interpreted with appropriate caution due to the known limitations of the PBE functional.
A 2 × 2 × 2 Monkhorst–Pack grid of k-points along with PAW (Projector-Augmented Wave) pseudopotentials (PPs) are used for both geometry optimization and SCF calculations. During the calculations, the kinetic-energy and the charge density cutoff is set to 47 and 470 Ry, respectively. The intended structures are fully relaxed until the residual forces on atoms converged below 0.001 Ry per Bohr. The excited state calculations have been performed by using time-dependent density functional theory (TD-DFT) formalism embodied in the QE program package.29 Besides that, to investigate the optical properties of our designed compound under varying strain level, we have calculated real (ε1) and imaginary (ε2) parts of complex dielectric functions (ε) using norm-conserving pseudopotentials. Further, to investigate the optical absorption properties, we have calculated the absorption coefficients using the complex dielectric functions.29
Apart from that, to investigate the photovoltaic properties of the selected compound, we first present an idealized bandgap-based estimation of key parameters such as Voc, Jsc and η for reference. The short-circuit current density (Jsc) can be expressed as:30,31
![]() | (2) |
Moreover, Voc can be estimated on the basis of the fundamental band gap, Eg of the material and a variable parameter called loss-in-potential, Eloss as shown in eqn (3),
| eVoc = Eg − Eloss. | (3) |
Here, we have considered two values of Eloss viz. 0.7 and 0.5 eV as suggested by the previously reported literature.30,31
The maximum theoretical PCE (η) of hybrid perovskites can be calculated using the values of Jsc and Voc as shown in eqn (4),
![]() | (4) |
![]() | (5) |
However, this approach assumes complete absorption of photons above the band gap and ideal carrier collection, and therefore may significantly overestimate the photovoltaic performance. To obtain a more realistic estimation, the photovoltaic performance of the studied compound has been evaluated using the spectroscopic limited maximum efficiency (SLME) approach, implemented via the SL3ME.py code32 (The source code is publicly available at: https://github.com/ldwillia/SL3ME). In this framework, the calculated band gap values are used together with the absorption coefficient (α) and film thickness to determine the optical absorption and recombination characteristics of the material. The wavelength-dependent absorbance is evaluated using the Beer–Lambert relation, A(λ) = 1 − exp(−2α(λ)t), thereby accounting for incomplete absorption across the solar spectrum. The absorption profile is combined with the AM1.5G solar spectrum to compute the photogenerated current through numerical integration of the photon flux. In addition, radiative recombination losses are included via the evaluation of the reverse saturation current density (J0) using detailed balance principles. The current–voltage (J–V) characteristics are then constructed, and the maximum output power is obtained through numerical optimization, from which the power conversion efficiency (η) is determined.
However, it should be noted that (DMA)2SnCl6 is a vacancy-ordered double perovskite with a 0D electronic structure consisting of spatially isolated [SnCl6]2− octahedra. Such systems typically exhibit carrier localization, weak band dispersion, relatively large effective masses, and strong excitonic effects, which can hinder efficient charge separation and transport. Therefore, although the SLME approach provides a more realistic estimate, it does not explicitly account for exciton binding or non-radiative recombination processes. As a result, the calculated efficiency values should be interpreted as an idealized upper bound, and the actual device performance may be significantly lower.
| Percentage of strain | eaxis | Edge length (Å) | Edge angle (°) | Unit cell | ||
|---|---|---|---|---|---|---|
| a | b | c | α = β = γ | Volume (Å3) | ||
| 0% | 7.5029 | 14.6936 | 7.3886 | 90 | 814.5533 | |
| 2% | ex | 7.6530 | 14.6936 | 7.3886 | 90 | 830.8490 |
| ey | 7.5029 | 14.9875 | 7.3886 | 90 | 830.8460 | |
| ez | 7.5029 | 14.6936 | 7.5364 | 90 | 830.8475 | |
| 4% | ex | 7.8030 | 14.6936 | 7.3886 | 90 | 847.1337 |
| ey | 7.5029 | 15.2813 | 7.3886 | 90 | 847.1330 | |
| ez | 7.5029 | 14.6936 | 7.6841 | 90 | 847.1306 | |
| 6% | ex | 7.9531 | 14.6936 | 7.3886 | 90 | 863.4294 |
| ey | 7.5029 | 15.5752 | 7.3886 | 90 | 863.4256 | |
| ez | 7.5029 | 14.6936 | 7.8319 | 90 | 863.4248 | |
| Percentage of strain | eaxis | Edge length (Å) | Edge angle (°) | Unit cell | ||
|---|---|---|---|---|---|---|
| a | b | c | α = β = γ | Volume (Å3) | ||
| 0% | 7.5029 | 14.6936 | 7.3886 | 90 | 814.5533 | |
| 2% | ex | 7.3528 | 14.6936 | 7.3886 | 90 | 798.2577 |
| ey | 7.5029 | 14.3997 | 7.3886 | 90 | 798.2607 | |
| ez | 7.5029 | 14.6936 | 7.2408 | 90 | 798.2592 | |
| 4% | ex | 7.2028 | 14.6936 | 7.3886 | 90 | 781.9729 |
| ey | 7.5029 | 14.1059 | 7.3886 | 90 | 781.9736 | |
| ez | 7.5029 | 14.6936 | 7.0931 | 90 | 781.9761 | |
| 6% | ex | 7.0527 | 14.6936 | 7.3886 | 90 | 765.6773 |
| ey | 7.5029 | 13.8120 | 7.3886 | 90 | 765.6810 | |
| ez | 7.5029 | 14.6936 | 6.9453 | 90 | 765.6819 | |
| Percentage of strain | Non-SOC/SOC | eaxis | CBM (eV) | VBM (eV) | Eg (eV) |
|---|---|---|---|---|---|
| 0% | Non-SOC | 2.4278 | −0.3860 | 2.8138 | |
| SOC | 2.4242 | −0.3874 | 2.8116 | ||
| 2% | Non-SOC | ex | 2.0381 | −0.4370 | 2.4751 |
| ey | 1.4083 | −0.1069 | 1.5152 | ||
| ez | 1.2969 | 0.0358 | 1.2611 | ||
| SOC | ex | 2.0348 | −0.4383 | 2.4731 | |
| ey | 1.7788 | −0.2734 | 2.0522 | ||
| ez | 2.1138 | −0.4468 | 2.5606 | ||
| 4% | Non-SOC | ex | 1.6421 | −0.3679 | 2.0100 |
| ey | 1.1470 | 0.0727 | 1.0743 | ||
| ez | 1.8322 | −0.4318 | 2.2640 | ||
| SOC | ex | 1.6388 | −0.3694 | 2.0082 | |
| ey | 1.1439 | 0.0714 | 1.0725 | ||
| ez | 1.8287 | −0.4332 | 2.2619 | ||
| 6% | Non-SOC | ex | 1.1475 | −0.3014 | 1.4489 |
| ey | 0.2284 | 0.0419 | 0.1865 | ||
| ez | 1.0515 | −0.5040 | 1.5555 | ||
| SOC | ex | 1.1444 | −0.3015 | 1.4459 | |
| ey | 0.2259 | 0.0405 | 0.1854 | ||
| ez | 1.0478 | −0.5056 | 1.5534 |
| Percentage of strain | Non-SOC/SOC | eaxis | CBM (eV) | VBM (eV) | Eg (eV) |
|---|---|---|---|---|---|
| 0% | Non-SOC | 2.4278 | −0.3860 | 2.8138 | |
| SOC | 2.4242 | −0.3874 | 2.8116 | ||
| 2% | Non-SOC | ex | 2.6926 | −0.2295 | 2.9221 |
| ey | 2.7170 | −0.1263 | 2.8433 | ||
| ez | 2.6846 | −0.2056 | 2.8902 | ||
| SOC | ex | 2.6890 | −0.2309 | 2.9199 | |
| ey | 2.7133 | −0.1277 | 2.8410 | ||
| ez | 2.6906 | −0.2053 | 2.8959 | ||
| 4% | Non-SOC | ex | 2.8415 | −0.0187 | 2.8602 |
| ey | 2.8760 | 0.3386 | 2.5374 | ||
| ez | 2.8267 | −0.0056 | 2.8323 | ||
| SOC | ex | 2.8378 | −0.0200 | 2.8578 | |
| ey | 2.8723 | 0.3372 | 2.5351 | ||
| ez | 2.8230 | −0.0069 | 2.8299 | ||
| 6% | Non-SOC | ex | 2.9918 | 0.2170 | 2.7748 |
| ey | 3.0410 | 0.8901 | 2.1509 | ||
| ez | 3.0961 | 0.3531 | 2.7430 | ||
| SOC | ex | 2.9881 | 0.2157 | 2.7724 | |
| ey | 3.0373 | 0.8883 | 2.1490 | ||
| ez | 3.0924 | 0.3518 | 2.7406 |
The Eg values under varying tensile and compressive strain, as presented in Tables 3 and 4, reveal a notably consistent and gradual trend along the x-axis. Under tensile strain, the Eg values along the x-direction decrease progressively from 2.4751 eV (2%), 2.0100 eV (4%), and 1.4489 eV (6%). In contrast, the changes in Eg along the y- and z-axes are more abrupt and less predictable, for instance, a sharp drop to 0.1865 eV at 6% tensile strain in the y-direction suggests potential structural instability or electronic state disruptions.
Similarly, for compressive strain, the x-axis again shows a relatively steady trend, with Eg values increasing modestly from 2.8138 eV (unstrained) to 2.9221 eV (2%), 2.8602 eV (4%), and 2.7748 eV (6%). In contrast, the y-axis exhibit irregularities, such as a significant drop in Eg to 2.1509 eV at 6% compression along the y-axis, indicating non-linear or less stable responses to strain.
The observed band gap narrowing under tensile strain can be attributed primarily to lattice expansion, which reduces orbital overlap and leads to a downward shift of the CBM and/or an upward shift of the VBM. In contrast, compressive strain enhances orbital interactions and crystal-field splitting, generally pushing the CBM upward relative to the VBM and resulting in band gap widening. To further elucidate the structural origin of this behavior, the evolution of Sn–Cl bond lengths and internal Cl–Sn–Cl bond angles have been analyzed (Table S3 of SI). A systematic variation in bond length is observed, increasing from 2.4745 Å at 0% strain to 2.4792 Å under 6% tensile strain, and decreasing to 2.4657 Å under 6% compressive strain. This bond length modulation directly governs the overlap between Sn-5s/5p and Cl-3p orbitals, with elongation weakening and compression strengthening the hybridization. In addition, the cis-Cl–Sn–Cl bond angles remain close to 90° (90.328–90.729°), while the trans angles remain nearly linear (∼180°) across all strain conditions, indicating that the [SnCl6] octahedra retain a near-ideal geometry with negligible angular distortion. These results confirm that bond length variation is the dominant structural factor governing the strain-induced electronic changes, while octahedral distortion plays a minimal role. The directional dependence of these effects explains the distinct and, in some cases, non-monotonic trends observed along different crystallographic axes.
Spin-orbit coupling (SOC) has been included to ensure a physically complete description of the electronic structure under strain. As shown in Tables 3 and 4, the inclusion of SOC leads to only a marginal reduction in the band gap values compared to non-SOC calculations, indicating a moderate SOC strength in the present lead-free halide perovskite. However, SOC consistently modifies the relative positions of the CBM and VBM, particularly under applied tensile and compressive strain. These SOC-induced shifts become relevant when lattice distortion alters orbital hybridization and anisotropic electronic responses along different crystallographic directions. Therefore, although the quantitative change in the band gap is small, inclusion of SOC is essential for accurately capturing strain-dependent band-edge evolution and ensuring reliable electronic property predictions.
Moreover, the uniform modulation of electronic properties along the x-axis suggests a more stable and predictable response to applied strain, making it a suitable direction for further investigations. Therefore, to ensure a focused and systematic analysis of strain effects on the optoelectronic and photovoltaic behavior of (DMA)2SnCl6, we have chosen to apply subsequent strains exclusively along the x-axis.
Furthermore, as depicted in Fig. S1, the band structures of the designed compound under different levels of strain are presented to support the reported band gap values. Fig. S1 reveals that at 0% of strain the direct band gap lies at the S-symmetry point. However, with the application of the strain, direct band gap moves to the Γ-symmetry point. This shift arises because strain engineering modifies the lattice constants and symmetry, thereby altering the electronic band structure through changes in orbital overlap and crystal field splitting.
| Elastic parameters (kbar) | Percentage of strain | |||
|---|---|---|---|---|
| 0% | 2% | 4% | 6% | |
| C11 | 25.96 | 39.75 | 37.89 | 32.18 |
| C12 | −5.54 | 20.15 | 26.64 | 28.76 |
| C13 | −89.75 | 39.25 | 28.99 | 22.07 |
| C22 | 59.63 | 97.17 | 88.74 | 82.79 |
| C23 | 30.33 | 46.79 | 47.43 | 44.88 |
| C33 | 214.75 | 271.46 | 272.97 | 264.75 |
| C44 | 14.57 | 24.03 | 16.75 | 17.28 |
| C55 | −9.77 | 12.48 | 4.40 | 1.26 |
| C66 | 21.19 | 50.47 | 43.48 | 37.23 |
| B | 22.60 | 50.25 | 51.97 | 48.80 |
| G | 63.66 | 29.39 | 22.18 | 17.52 |
| Y | 94.30 | 73.68 | 58.03 | 46.05 |
| B/G | 0.36 | 1.71 | 2.34 | 2.79 |
| n | −0.26 | 0.25 | 0.31 | 0.31 |
| Elastic parameters (kbar) | Percentage of strain | |||
|---|---|---|---|---|
| 0% | 2% | 4% | 6% | |
| C11 | 25.96 | 132.92 | 138.35 | 134.16 |
| C12 | −5.54 | 154.52 | 73.01 | 75.47 |
| C13 | −89.75 | 52.39 | 48.74 | 48.25 |
| C22 | 59.63 | 173.26 | 157.20 | 143.58 |
| C23 | 30.33 | 55.90 | 48.43 | 43.04 |
| C33 | 214.75 | 286.96 | 302.11 | 296.07 |
| C44 | 14.57 | 13.56 | 16.01 | 29.60 |
| C55 | −9.77 | 31.83 | 31.99 | 32.62 |
| C66 | 21.19 | 79.95 | 78.05 | 75.91 |
| B | 22.60 | 536.44 | 104.08 | 98.51 |
| G | 63.66 | 39.41 | 44.34 | 48.01 |
| Y | 94.30 | 109.78 | 115.91 | 123.70 |
| B/G | 0.36 | 13.61 | 2.35 | 2.05 |
| n | −0.26 | 0.39 | 0.31 | 0.29 |
In addition, elastic moduli of the intended compound have been evaluated via the Voigt–Reuss–Hill (VRH) approximation. Shear modulus (G) reflects resistance to shape change, Young's modulus (Y) indicates stiffness, and Pugh's ratio (B/G) and Poisson's ratio (n) distinguish ductility from brittleness (thresholds: B/G > 1.75, n > 0.26). The relatively low Y values suggest enhanced mechanical compliance under deformation. Furthermore, the strain-dependent trends in the Pugh's ratio (B/G) and Poisson's ratio (n) qualitatively indicate a tendency toward ductile-like mechanical response under moderate tensile and compressive deformation.34–36 This apparent ductile behavior, as inferred from the Pugh's ratio and Poisson's ratio, is noteworthy because strongly covalent solids are classically associated with intrinsic brittleness, whereas metallic systems often display substantial plastic deformability. The present compound, however, exhibits a mixed bonding character rather than purely covalent bonding. Directional covalent bonds provide structural stability and strength, while the presence of more delocalized and partially metallic/ionic interactions reduces bond directionality and can facilitate defect motion and lattice relaxation under load. The combination of these bonding motifs can therefore reconcile the elastic criteria (B/G > 1.75, n > 0.26) with the expected mechanical response, indicating that the material behaves as a ductile mixed-bonding solid rather than as a strictly brittle covalent crystal.37–39
Overall, while elastic stability is established at equilibrium, strain engineering significantly modifies the mechanical response of the perovskite. No mechanical instability is observed within the investigated strain range, highlighting its potential for strain-tolerant and flexible device applications.
| ε(ω) = ε1(ω) + iε2(ω). | (6) |
ε can be used to illustrate the coulombic interaction between an electron and a hole. When ε is increased, the interaction between electron and hole decreases, thereby reducing the exciton binding energy to speed up the charge separation. The high value of ε indicates that the material can retain a large amount of charge for an extended period of time, which improves the material's performance. The real part of complex dielectric function, i.e., ε1 represents the polarization induced in the material. On the other hand, the imaginary part, i.e., ε2 measures the loss of radiation energy. In addition, ε1 measures the difference in wavelength between the electromagnetic spectrum and vacuum, while ε2 measures the material's absorption.40–42
Furthermore, ε1 and ε2 are interconnected via the Kramers–Kronig relation,43 which follow:
![]() | (7) |
In this context, P indicates the Cauchy principal value, and the ε2 appeared in the above equation can be calculated from direct interband transitions using the Fermi Golden Rule, as given below :43,44
![]() | (8) |
Here, Ω, ψ, µ, ω, and r correspond to the unit cell volume, wavefunctions, external field vector, photon frequency, and momentum operator, respectively. Additionally, c and ν denote the unoccupied and occupied states within reciprocal space at the κ point.
The computed real and imaginary parts of dielectric function of the selected compound are provided in Fig. 2(a–d). Fig. 2 manifests that the designed compound exhibits maximum value within the visible region of the electromagnetic spectrum.
Furthermore, the absorption coefficient (α) of the compound, which is related to the optical absorption ability, has been calculated from ε1 and ε2 according to the following equation:43,44
![]() | (9) |
The UV-Vis spectra of the designed compound are presented in Fig. 2(e and f). As shown in the figure, the intended compound exhibits strong absorption in the near UV region of the electromagnetic (EM) spectrum at various level of applied strain.
The red shift under 2% and 6% tensile strain (Fig. 2e) arises from Sn–Cl bond elongation and lattice expansion, which weaken orbital overlap and slightly narrow the bandgap. This lowers the excitation energy, shifting the absorption edge to longer wavelengths. The small shift, along with nearly unchanged dielectric functions, shows that (DMA)2SnCl6 retains its near-UV absorption and remains stable under mechanical strain, benefiting robust optoelectronic applications.
| Percentage of strain | Eg (eV) | Eloss (eV) | Voc (eV) | Jsc (A m−2) | η (%) |
|---|---|---|---|---|---|
| 0% | 2.8138 | 0.7 | 2.1138 | 29.84 | 6.31 |
| 2.8138 | 0.5 | 2.3138 | 29.84 | 6.90 | |
| 2% | 2.4751 | 0.7 | 1.7751 | 64.87 | 11.51 |
| 2.4751 | 0.5 | 1.9751 | 64.87 | 12.81 | |
| 4% | 2.0100 | 0.7 | 1.3100 | 143.38 | 18.78 |
| 2.0100 | 0.5 | 1.5100 | 143.38 | 21.64 | |
| 6% | 1.4489 | 0.7 | 0.7489 | 308.65 | 23.11 |
| 1.4489 | 0.5 | 0.9489 | 308.65 | 29.28 |
| Percentage of strain | Eg (eV) | Eloss (eV) | Voc (eV) | Jsc (A m−2) | η |
|---|---|---|---|---|---|
| 0% | 2.8138 | 0.7 | 2.1138 | 29.84 | 6.31 |
| 2.8138 | 0.5 | 2.3138 | 29.84 | 6.90 | |
| 2% | 2.9221 | 0.7 | 2.2221 | 23.20 | 5.15 |
| 2.9221 | 0.5 | 2.4221 | 23.20 | 5.62 | |
| 4% | 2.8602 | 0.7 | 2.1602 | 26.71 | 5.77 |
| 2.8602 | 0.5 | 2.3602 | 26.71 | 6.30 | |
| 6% | 2.7748 | 0.7 | 2.0748 | 32.84 | 6.81 |
| 2.7748 | 0.5 | 2.2748 | 32.84 | 7.47 |
The improvement in Jsc and PCE under tensile strain can be attributed to lattice expansion, which might reduces the carrier effective mass, thereby enhancing mobility, while compressive strain has the opposite effect, leading to reduced efficiency. This strain-dependent asymmetry highlights that tensile deformation can act as an effective tool to engineer the optoelectronic properties of (DMA)2SnCl6, making it a promising candidate for strain-tunable, high-performance photovoltaic devices.
Furthermore, an in-depth mechanical stability analysis confirms that the designed compound satisfies most of the Born stability criteria, thereby ensuring its structural integrity under different magnitudes and types of strain. Besides that, the optical absorption coefficient analysis reveals that (DMA)2SnCl6 exhibits a maximum absorption in the near-UV region of the EM spectrum. From a photovoltaic application standpoint, the strain-induced modulation of dielectric response, absorption behavior, and band gap in (DMA)2SnCl6 directly translates into tunable device-relevant parameters. In particular, tensile strain leads to a red-shifted absorption edge and increased absorption coefficient, resulting in a substantial enhancement of the short-circuit current density. These effects collectively explain the observed improvement in theoretical power conversion efficiency, with a maximum PCE of 29.28% achieved under 6% tensile strain applied along the x-axis. This highlights strain engineering as a viable and effective strategy for optimizing hybrid double perovskites toward efficient and environmentally benign photovoltaic applications.
Looking ahead, strain-engineered lead-free double perovskites represent a promising frontier in sustainable optoelectronics, where future research should focus on bridging computational predictions with experimental realization and device-level optimization. Expanded studies on strain modulation may unlock enhanced stability and efficiency beyond current limits. In this context, computational advances particularly machine learning (ML) frameworks such as XGBoost offer significant potential for high-throughput screening of lead-free double perovskites. These approaches enable rapid prediction of key photovoltaic descriptors, including optimal band gaps in the range of 1.3–1.4 eV and low formation energies, as demonstrated for candidates such as Cs2YAgBr6 and Cs2AgSbBr6. Compared to conventional DFT, ML-driven models efficiently explore vast compositional and strain-responsive design spaces, identifying materials with direct band gaps suitable for solar cell applications. Furthermore, integrating many-body techniques such as GW and Bethe–Salpeter equation (BSE) methods with ML models will allow more accurate treatment of quasiparticle energies and excitonic effects under strain, which is crucial for reliable prediction of luminescence and photovoltaic performance.45–48
Overall, this study highlights the pivotal role of strain engineering in modulating the functional properties of lead-free double halide perovskites and provides a roadmap for future computational and experimental efforts toward next-generation, environmentally benign photovoltaic technologies.
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