ArticleJournal of chemical theory and computation2023
Optimal Scheme to Achieve Energy Conservation in Induced Dipole Models.
Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- DEGAUSS: A Novel Softcore Force Field Using Double Exponential van der Waals and Gaussian Charge for Molecular Dynamics Simulations I: Theory and Validation.Journal of chemical theory and computation · 2025Article
- Optimization of Lennard-Jones Parameters for Induced Dipole Polarizable Gaussian Multipole Force Field.The journal of physical chemistry. B · 2025Article
- Isotropic Periodic Sum for Polarizable Gaussian Multipole Model.Journal of chemical theory and computation · 2025Article
- Automated Refinement of Property-Specific Polarizable Gaussian Multipole Water Models Using Bayesian Black-Box Optimization.Journal of chemical theory and computation · 2025Article
- Refinement of Atomic Polarizabilities for a Polarizable Gaussian Multipole Force Field with Simultaneous Considerations of Both Molecular Polarizability Tensors and In-Solution Electrostatic Potentials.Journal of chemical information and modeling · 2025Article
- Performance Tuning of Polarizable Gaussian Multipole Model in Molecular Dynamics Simulations.Journal of chemical theory and computation · 2025Article
- PCMRESP: A Method for Polarizable Force Field Parameter Development and Transferability of the Polarizable Gaussian Multipole Models Across Multiple Solvents.Journal of chemical theory and computation · 2024Article
- Assessment of Amino Acid Electrostatic Parametrizations of the Polarizable Gaussian Multipole Model.Journal of chemical theory and computation · 2024Article
- AmberTools.Journal of chemical information and modeling · 2023Article
- Streamlining and Optimizing Strategies of Electrostatic Parameterization.Journal of chemical theory and computation · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Induced dipole models have proven to be effective tools for simulating electronic polarization effects in biochemical processes, yet their potential has been constrained by energy conservation issue, particularly when historical data is utilized for dipole prediction. This study identifies error outliers as the primary factor causing this failure of energy conservation and proposes a comprehensive scheme to overcome this limitation. Leveraging maximum relative errors as a convergence metric, our data demonstrates that energy conservation can be upheld even when using historical information for dipole predictions. Our study introduces the multi-order extrapolation method to quicken induction iteration and optimize the use of historical data, while also developing the preconditioned conjugate gradient with local iterations to refine the iteration process and effectively remove error outliers. This scheme further incorporates a "peek" step via Jacobi under-relaxation for optimal performance. Simulation evidence suggests that our proposed scheme can achieve energy convergence akin to that of point-charge models within a limited number of iterations, thus promising significant improvements in efficiency and accuracy.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.