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In this study, we present a general workflow that enables the automatic generation of auxiliary density basis sets for all elements of the periodic table (from H to Og) to facilitate the general applicability of relativistic Dirac-Kohn-Sham calculations. It is an important tool for the accurate description of relativistic effects, including spin-orbit coupling, in molecules containing heavy elements. The latter are very important in various fields, ranging from catalysis to quantum technologies. The automatic generation algorithm is based on an even-tempered scheme inspired by a previous work by P. Calaminici et al. , 126, 044108, in which the auxiliary basis sets were generated for nonrelativistic DFT calculations within the GGA approximation. Here, the algorithm uses basic information from the principal relativistic spinor basis set (exponents and angular momentum values) and includes a simple strategy to account for the high angular momentum of electrons in heavy and superheavy elements. The workflow developed here allows us to perform extensive automated tests aimed at verifying the accuracy of the auxiliary basis sets in a large molecular data set of about 300 molecules representing all groups and periods of the periodic table. The results show that our auxiliary basis sets achieve high accuracy, with errors in the Coulomb energies of a few μ-hartree, which are of the same order of magnitude as in the nonrelativistic density fitting. The automatic workflow developed here is general and will be applied in the future for the optimization of auxiliary basis sets to include exact exchange in relativistic approaches. The latter will be a crucial step for the accurate description of spectroscopic properties and spin dynamics in molecular systems containing heavy elements.
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http://dx.doi.org/10.1021/acs.jpca.5c02772 | DOI Listing |
Prog Neuropsychopharmacol Biol Psychiatry
September 2025
School of Mathematics and Statistics, Guangdong University of Foreign Studies, Guangzhou, PR China. Electronic address:
Background: Sexual dimorphism in human brain has garnered significant attention in neuroscience research. Although multiple investigations have examined sexual dimorphism in gray matter (GM) functional connectivity (FC), the research of white matter (WM) FC remains relatively limited.
Methods: Utilizing resting-state fMRI data from 569 healthy young adults, we investigated sexual dimorphism in the WM functional connectome.
J Chem Theory Comput
September 2025
Department of Chemistry, Virginia Tech, Blacksburg, Virginia 24060, United States.
The Slater-type F12 geminal length scales originally tuned for the second-order Mo̷ller-Plesset F12 method are too large for higher-order F12 methods formulated using the SP (diagonal fixed-coefficient spin-adapted) F12 ansatz. The new geminal parameters reported herein reduce the basis set incompleteness errors (BSIEs) of absolute coupled-cluster singles and doubles F12 correlation energies by a significant─and increase with the cardinal number of the basis─margin. The effect of geminal reoptimization is especially pronounced for the cc-pVZ-F12 basis sets (specifically designed for use with F12 methods) relative to their conventional aug-cc-pVZ counterparts.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Radiology, The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, China.
Objectives: Lymph node metastasis (LNM) is an important factor affecting the stage and prognosis of patients with lung adenocarcinoma. The purpose of this study is to explore the predictive value of the stacking ensemble learning model based on F-FDG PET/CT radiomic features and clinical risk factors for LNM in lung adenocarcinoma, and elucidate the biological basis of predictive features through pathological analysis.
Methods: Ninety patients diagnosed with lung adenocarcinoma who underwent PET/CT were retrospectively analyzed and randomly divided into the training and testing sets in a 7:3 ratio.
J Chem Phys
September 2025
School of Materials, Sun Yat-Sen University, Shenzhen, Guangdong 518107, China.
We introduce an extended formulation of the non-Markovian stochastic Schrödinger equation with complex frequency modes (extended cNMSSE), designed for simulating open quantum system dynamics under arbitrary spectral densities. This extension employs non-exponential basis sets to expand the bath correlation functions, overcoming the reliance of the original cNMSSE on exponential decompositions of the spectral density. Consequently, the extended cNMSSE is applicable to environments beyond those characterized by Debye-type spectral densities.
View Article and Find Full Text PDFJ Neural Eng
September 2025
Department of Computer Science and Engineering College of Engineering, University of Washington, Box 352350, Seattle, WA 98195-2350, USA, Seattle, Washington, 98105, UNITED STATES.
Unlabelled: Closed-loop neural stimulation provides novel therapies for neurological diseases such as Parkinson's disease (PD), but it is not yet clear whether artificial intelligence (AI) techniques can tailor closed-loop stimulation to individual patients or identify new therapies. Further advancements are required to address a number of difficulties with translating AI to this domain, including sample efficiency, training time, and minimizing loop latency such that stimulation may be shaped in response to changing brain activity.
Approach: we propose temporal basis function models (TBFMs) to address these difficulties, and explore this approach in the context of excitatory optogenetic stimulation.