Analytical Derivatives of the Individual State Energies in Ensemble Density Functional Theory Method: II. Implementation on Graphical Processing Units (GPUs)

2019 ◽  
Author(s):  
Fang Liu ◽  
Michael Filatov ◽  
Todd J. Martínez

Conical intersections control excited state reactivity and thus elucidation and prediction of their shapes and locations is crucial for photochemistry. To locate these intersections one needs accurate and efficient electronic structure methods. Unfortunately, the most accurate methods (e.g. XMS-CASPT2) are computationally difficult for large molecules. The state-interaction state-averaged restricted ensemble referenced Kohn-Sham (SI-SA-REKS) method is a computationally efficient alternative. The application of SI-SA-REKS to photochemistry was previously hampered by a lack of analytical nuclear gradients and nonadiabatic coupling matrix elements. We have recently derived analytical energy derivatives for the SI-SA-REKS method and implemented the method effectively on graphical processing units (GPUs). We demonstrate that our implementation gives the correct topography and energetics of conical intersections for several examples. Furthermore, our implementation of SI-SA-REKS is computationally efficient – the observed scaling with molecular size is sub-quadratic, i.e. O(N<sup>1.77</sup>). This demonstrates the promise of SI-SA-REKS for excited state dynamics of large molecular systems.

Author(s):  
Fang Liu ◽  
Michael Filatov ◽  
Todd J. Martínez

Conical intersections control excited state reactivity and thus elucidation and prediction of their shapes and locations is crucial for photochemistry. To locate these intersections one needs accurate and efficient electronic structure methods. Unfortunately, the most accurate methods (e.g. XMS-CASPT2) are computationally difficult for large molecules. The state-interaction state-averaged restricted ensemble referenced Kohn-Sham (SI-SA-REKS) method is a computationally efficient alternative. The application of SI-SA-REKS to photochemistry was previously hampered by a lack of analytical nuclear gradients and nonadiabatic coupling matrix elements. We have recently derived analytical energy derivatives for the SI-SA-REKS method and implemented the method effectively on graphical processing units (GPUs). We demonstrate that our implementation gives the correct topography and energetics of conical intersections for several examples. Furthermore, our implementation of SI-SA-REKS is computationally efficient – the observed scaling with molecular size is sub-quadratic, i.e. O(N<sup>1.77</sup>). This demonstrates the promise of SI-SA-REKS for excited state dynamics of large molecular systems.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gang Sun ◽  
Xin-Hui Wang ◽  
Jing Li ◽  
Bo-Ting Yang ◽  
Ying Gao ◽  
...  

AbstractThe fluorescent molecules utilizing hybridized local and charge-transfer (HLCT) state as potential organic light-emitting diodes materials attract extensive attention due to their high exciton utilization. In this work, we have performed the density functional theory method on three HLCT-state molecules to investigate their excited-state potential energy surface (PES). The calculated results indicate the T1 and T2 energy gap is quite large, and the T2 is very close to S1 in the energy level. The large gap is beneficial for inhibiting the internal conversion between T1 and T2, and quite closed S1 and T2 energies are favor for activating the T2 → S1 reverse intersystem crossing path. However, considering the singlet excited-state PES by twisting the triphenylamine (TPA) or diphenylamine (PA) group, it can be found that the TPA or PA group almost has no influence on T1 and T2 energy levels. However, the plots of S1 PES display two kinds of results that the S1 emissive state is dominated by charge-transfer (CT) or HLCT state. The CT emission state formation would decrease the S1 energy level, enlarge the S1 and T2 gap, and impair the triplet exciton utilization. Therefore, understanding the relationship between the S1 PES and molecular structures is important for designing high-performance luminescent materials utilizing HLCT state.


2017 ◽  
Vol 19 (30) ◽  
pp. 19601-19608 ◽  
Author(s):  
T. J. Penfold

The direct dynamics variational multi-configurational Gaussian (DD-vMCG) method is combined with electronic structure calculations accelerated by Graphical Processing Units (GPUs). This is used to identify GPU acceleration will have a significant effect for both ground and excited state simulations.


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