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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Toward the "Gold Standard" in Bootstrap Embedding
1Department of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.
Abstract:
We present an implementation of Coupled Cluster Singles, Doubles, and Perturbative Triples [CCSD(T)] density matrix evaluation, integrated within the Bootstrap Embedding (BE2) framework, and accelerated through the use of orbital permutation symmetry. Our approach achieves a substantial reduction in computational cost compared to canonical all-electron CCSD(T) calculations while retaining high accuracy in relative energies. Benchmark calculations on annulene systems show that BE2-CCSD(T) achieves accurate energetics with near-linear scaling in system size, enabling routine application to systems that are otherwise intractable with conventional post-Hartree-Fock methods using both double- and triple-ζ basis sets. We then benchmark the BE2-CCSD(T) scheme with Intrinsic Atomic Orbital and Projected Atomic Orbital (IAO + PAO) partitioning versus canonical CCSD(T) in isomerizations. This work lays the groundwork for extending fragment-based correlated wave function methods to broader classes of molecular systems.
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