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Updated: May 31, 2026

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Published on: May 27, 2020
Excited-State Electronic Structure with Configuration Interaction Singles and Tamm-Dancoff Time-Dependent Density
GPU acceleration enables large-scale excited-state calculations using configuration interaction singles (CIS) and time-dependent density functional theory (TDDFT). This approach achieves high accuracy for complex molecular systems, paving the way for advanced computational chemistry.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Accurate excited-state calculations are crucial for understanding molecular properties and designing new materials.
- Traditional methods are computationally expensive, limiting the size of molecules that can be studied.
- Graphics Processing Units (GPUs) offer potential for accelerating these demanding calculations.
Purpose of the Study:
- To implement and evaluate configuration interaction singles (CIS) and time-dependent density functional theory (TDDFT) for excited-state calculations on a GPU-based platform.
- To assess the scalability and accuracy of GPU-accelerated methods for large molecular systems.
- To investigate the impact of numerical precision on the accuracy of GPU-based calculations.
Main Methods:
- Development and implementation of CIS and adiabatic linear response TDDFT methods within the GPU-accelerated TeraChem software.
- Utilized GPU-accelerated electron repulsion integrals and density functional quadrature integration.
- Performed benchmark calculations using CIS/6-31G and TD-BLYP/6-31G on oligothiophene dendrimers, photoactive yellow protein (PYP), and solvated PYP chromophore.
Main Results:
- Achieved significant speedups for CIS and TDDFT calculations through GPU acceleration.
- Enabled excited-state calculations on molecules of unprecedented size.
- Demonstrated that mixed-precision GPU integration yields highly accurate excitation energies, comparable to double-precision CPU results (within 0.0005 eV).
Conclusions:
- GPU-based implementation of CIS and TDDFT methods significantly enhances computational efficiency for excited-state calculations.
- The developed methods allow for ab initio studies of large and complex molecular systems.
- Mixed-precision integration on GPUs provides a computationally efficient yet numerically accurate approach for electronic structure calculations.
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