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August 25, 2025Open Access

More numerical precision for less compute cost: Optimizing a local correlation algorithm for second order Møller-Plesset theory and comparing against pair natural orbital methods

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Improved algorithm design enhances accuracy for second-order møller-plesset methods, reducing compute expenses.
Achieved about an order of magnitude improvement in accuracy through novel techniques including localized orbitals.
Assessment involved detailed comparisons with the pair natural orbital method indicating better performance in quantum calculations.
These advancements optimize memory use and computational efficiency while maintaining strong accuracy controls.

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Implication

Algorithm enhancements improve accuracy and reduce compute cost for second-order Møller-Plesset methods, indicating efficiency in quantum chemical calculations.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68af5d5dad7bf08b1eae0564 https://doi.org/10.26434/chemrxiv-2025-j0wd1

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Implication

Algorithm enhancements improve accuracy and reduce compute cost for second-order Møller-Plesset methods, indicating efficiency in quantum chemical calculations.

More numerical precision for less compute cost: Optimizing a local correlation algorithm for second order Møller-Plesset theory and comparing against pair natural orbital methods

Key Points

Discussion

Implication

Cite This Study

More numerical precision for less compute cost: Optimizing a local correlation algorithm for second order Møller-Plesset theory and comparing against pair natural orbital methods

Key Points

Discussion

Implication

Cite This Study

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