Abstract:Computational study on four Acceptor‐Donor‐Acceptor (A–D‐A) type of donor molecules namely, dimethyl cyanoacetate terthiophene di(methylthiophene) benzo[1,2‐b:4,5‐b′]dithiophene (DMCATDMTBDT) (M1), methylrhodanine terthiophene di (methylthiophene) benzo[1,2‐b:4,5‐b′]dithiophene (MRTDMTBDT) (M2), dimethyl cyanoacetate terthiophene di (fluoromethyl thiophene) benzo[1,2‐b:4,5‐b′]dithiophene (DMCATDFMTBDT) (M3), and methylrhodanine terthiophene di (fluoromethyl thiophene) benzo[1,2‐b:4,5‐b′]dithiophene (MRTDFMTBDT… Show more
“…High exciton bonding energy causes energy losses. [ 36–38 ] We have studied the effect of halogen substituent on terminal group of SMAs. The exciton bonding energy (E b ) can be calculated through below equation: In above equation, HOMO‐LUMO energy gap (∆ H‐L ) is assumed to be equal to the electronic band gap (E g ).…”
Section: Resultsmentioning
confidence: 99%
“…High exciton bonding energy causes energy losses. [36][37][38] We have studied the effect of halogen substituent on terminal group of SMAs. The exciton bonding energy (E b ) can be calculated through below equation:…”
Indeed, structural and electronic behavior of organic semiconductors control their performance for organic solar cells. To attain the higher performance a deeper understanding of materials is required. Here, multi-scale computational modeling is used to study the effect of structural variation on the halogen substitution. Quantum chemical calculations, molecular dynamics simulations and machine learning are used. Halogens are introduced at the terminal position of electron-acceptors and their electronic properties are further examined. Quantum chemical analysis has shown that fluorinated and chlorinated acceptors have lower exciton binding energy, higher transfer integral, and lower reorganization energy; suggesting that these acceptors are better than others. Moreover, the power conversion efficiency of newly designed acceptor materials is also predicted through already trained machine learning models. Fluorinated and chlorinated acceptors showed higher PCE, but the difference is not very large as compared with other acceptors. Further, the mixing behavior of the designed acceptors with the polymer donor PBDB-T is investigated using the Florgy-Huggins parameter. The molecular packing of donor and acceptor molecules is studied using radial distribution function. Fluorinated and chlorinated acceptors showed lower Florgy-Huggins parameter and free energy of mixing. We believe that multiscale modeling has the potential to explore various electronic and photovoltaic aspects of organic semiconductors even before synthesis.
“…High exciton bonding energy causes energy losses. [ 36–38 ] We have studied the effect of halogen substituent on terminal group of SMAs. The exciton bonding energy (E b ) can be calculated through below equation: In above equation, HOMO‐LUMO energy gap (∆ H‐L ) is assumed to be equal to the electronic band gap (E g ).…”
Section: Resultsmentioning
confidence: 99%
“…High exciton bonding energy causes energy losses. [36][37][38] We have studied the effect of halogen substituent on terminal group of SMAs. The exciton bonding energy (E b ) can be calculated through below equation:…”
Indeed, structural and electronic behavior of organic semiconductors control their performance for organic solar cells. To attain the higher performance a deeper understanding of materials is required. Here, multi-scale computational modeling is used to study the effect of structural variation on the halogen substitution. Quantum chemical calculations, molecular dynamics simulations and machine learning are used. Halogens are introduced at the terminal position of electron-acceptors and their electronic properties are further examined. Quantum chemical analysis has shown that fluorinated and chlorinated acceptors have lower exciton binding energy, higher transfer integral, and lower reorganization energy; suggesting that these acceptors are better than others. Moreover, the power conversion efficiency of newly designed acceptor materials is also predicted through already trained machine learning models. Fluorinated and chlorinated acceptors showed higher PCE, but the difference is not very large as compared with other acceptors. Further, the mixing behavior of the designed acceptors with the polymer donor PBDB-T is investigated using the Florgy-Huggins parameter. The molecular packing of donor and acceptor molecules is studied using radial distribution function. Fluorinated and chlorinated acceptors showed lower Florgy-Huggins parameter and free energy of mixing. We believe that multiscale modeling has the potential to explore various electronic and photovoltaic aspects of organic semiconductors even before synthesis.
“…Ionization potential (IP), electron affinity (EA), and reorganization energy (l) are the key parameters that determine the energy barrier for the charge injection process of organic molecules. 37 Electron affinities and vertical ionization potentials have been computed by using eqn (1) and (2). 38 EA = E 0 − E −…”
Metallo-dithiaporphyrin small molecules have been designed by substituting Ru(ii) with various transition metals at the same oxidation state (M = Mn, Fe, Ni, Cu) as donor materials for Bulk Heterojunction organic solar cells (BHJ-OSCs).
“…Furthermore, excitation energy decreased by increasing the electron withdrawing potential of the acceptor atom. Reference molecules R a ‐ R d and designed donor molecules M 1 ‐M 3 and M 4 ‐M 6 exhibited two types of absorption peaks, the shorter wavelength absorption peak is due to the π to π* transition in the main chain molecule, whereas the longer wavelength absorption peak is due to the transfer of charges among the donor and acceptor moiety found in the A−D−A type of designed donor molecule . Furthermore absorption peak in longer wavelength region displayed higher value of intensity whereas shorter wavelength region showed lower intensity of peak (Figure A−D).…”
Six Acceptor‐Donor‐Acceptor (A−D−A) types molecules with dimethyl dithieno[3, 2‐b:2′,3′‐d]silole)−2,6‐diyl (DTS) (M1‐M3) and dimethyl cyclopenta [2, 1‐b;3,4‐b]‐dithiophene (CPDT) (M4‐M6) core flanged by different acceptor units through methylthiophene bridge are evaluated as donor materials for photovoltaic applications. The photovoltaic properties of M1‐M3 and M4‐M6 are compared with standard RaRc and Rb,Rd respectively. Geometry optimization was performed with CAM−B3LYP/6‐31G (d) level of theory. TD‐CAM−B3LYP has been employed for the estimation of excited state properties of the molecules. M1, M2, M3 and M4, M5, M6 symbolized suitable frontier molecular orbital's (FMO's) energy levels with broad absorption spectra. The electron withdrawing substituents impart red shift in absorption spectra along with good consistancy of designed donor molecules. Reorganization energies of donor molecules (M1‐M6) showed ideal properties of charge mobility. M1 and M4 illustrated lowest λe values as compared to λh, thus dictated that designed donor molecules are of good choice for their electron donating ability. Furthermore, M2 and M6 demonstrated shortest Eg of 3.7 and 3.72 eV among HOMO and LUMO energy levels.
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