In
this study, divide-and-conquer (DC) based density-functional
tight-binding (DFTB) and time-dependent density-functional tight-binding
(TD-DFTB) methods were developed using long-range correction (LC),
which resolved the underestimation of energy gaps between the highest
occupied molecular orbital and lowest unoccupied molecular orbital.
We implemented the LC term by the entrywise product for the effective
utilization of the math kernel library. Test calculations of formaldehyde
in explicit water molecules demonstrate the efficiency of the developed
method. Furthermore, the DC-TD-LCDFTB method was applied to 2,2′-bipyridine-3,3′-diol
(BP(OH)2), which exhibits excited-state intramolecular
proton transfer in polar solvents.
In this study, the divide-and-conquer (DC) method was extended to time-dependent density functional tight-binding (TDDFTB) theory to enable excited-state calculations of large systems and is denoted by DC-TDDFTB. The efficient diagonalization algorithms of TDDFTB and DC-TDDFTB methods were implemented into our in-house program. Test calculations of polyethylene aldehyde and p-coumaric acid, a pigment in photoactive yellow protein, in water demonstrate the high accuracy and efficiency of the developed DC-TDDFTB method. Furthermore, the (TD)-DFTB metadynamics simulations of acridinium in the ground and excited states give reasonable pK a values compared with the corresponding experimental values.
The present study implemented the divide-and-conquer timedependent density-functional tight-binding (DC-TDDFTB) code on a graphical processing unit (GPU). The DC method, which is a linear-scaling scheme, divides a total system into several fragments. By separately solving local equations in individual fragments, the DC method could reduce slow central processing unit (CPU)-GPU memory access, as well as computational cost, and avoid shortfalls of GPU memory. Numerical applications confirmed that the present code on GPU significantly accelerated the TDDFTB calculations, while maintaining accuracy. Furthermore, the DC-TDDFTB simulation of 2-acetylindan-1,3-dione displays excitedstate intramolecular proton transfer and provides reasonable absorption and fluorescence energies with the corresponding experimental values.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.