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Published on: June 30, 2013
Development of Large-Scale Excited-State Calculations Based on the Divide-and-Conquer Time-Dependent Density
Nana Komoto1, Takeshi Yoshikawa1, Junichi Ono2
1Department of Chemistry and Biochemistry, School of Advanced Science and Engineering , Waseda University , 3-4-1 Okubo , Shinjuku-ku, Tokyo 169-8555 , Japan.
The divide-and-conquer (DC) method was extended to time-dependent density functional tight-binding (TDDFTB) theory, creating DC-TDDFTB for large system excited-state calculations. This accurate and efficient method was validated with test calculations and simulations, yielding reasonable pKa values.
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Theoretical Chemistry
Background:
- Accurate excited-state calculations are crucial for understanding photophysical processes.
- Traditional methods struggle with computational cost for large molecular systems.
- Time-dependent density functional tight-binding (TDDFTB) offers a balance of accuracy and efficiency.
Purpose of the Study:
- To extend the divide-and-conquer (DC) method to TDDFTB theory for large-scale excited-state calculations.
- To implement efficient diagonalization algorithms for TDDFTB and DC-TDDFTB.
- To validate the developed DC-TDDFTB method for accuracy and efficiency.
Main Methods:
- Development and implementation of the divide-and-conquer TDDFTB (DC-TDDFTB) method.
- Integration of efficient diagonalization algorithms into an in-house computational program.
- Application of DC-TDDFTB to polyethylene aldehyde and p-coumaric acid in water.
- TDDFTB metadynamics simulations for acridinium in ground and excited states.
Main Results:
- The DC-TDDFTB method demonstrated high accuracy and efficiency in excited-state calculations.
- Test calculations on polyethylene aldehyde and p-coumaric acid validated the method's performance.
- Metadynamics simulations provided reasonable pKa values for acridinium, comparable to experimental data.
Conclusions:
- The developed DC-TDDFTB method is a powerful tool for accurate and efficient excited-state calculations of large systems.
- The method shows promise for studying complex molecular systems and photochemical reactions.
- DC-TDDFTB can be applied to investigate properties like pKa in different electronic states.
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