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The second-order Møller-Plesset perturbation (MP2) theory is a post-Hartree-Fock method widely used to describe weak correlation energies in solids and molecules, but its high computational cost scales as (). Herein, we present an accurate and efficient implementation of MP2 within the plane-wave (PW) basis set for both periodic and molecular systems, which incorporates the interpolative separable density fitting (ISDF) decomposition and the Laplace transformation (LT) of the energy denominator. These innovations avoid the direct construction of electron repulsion integrals (ERIs) and reduce the computational complexity of MP2 from () to (). The key idea for reducing the scaling is to exploit the numerical redundancy of occupied-virtual molecular orbital pairs on the real-space grid in the plane-wave basis set, which enables ERIs to be factorized into lower-rank quantities. This leads to further cost reductions in both the direct and exchange terms of the MP2 correlation energy. For a bulk silicon system consisting of 128 atoms, the LT-ISDF-MP2 method demonstrates a 13.5-fold speedup in total computation time compared to the standard approach. Using this plane-wave LT-ISDF-MP2 method, we simulate the π-π stacking interaction in the 1,3-butadiene dimer, successfully capturing the dispersion interaction and reproducing the self-assembled configuration.
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http://dx.doi.org/10.1021/acs.jctc.5c00890 | DOI Listing |
Appl Radiat Isot
September 2025
Nuclear Engineering Department, School of Mechanical Engineering, Shiraz University, Shiraz, Iran.
Accurate determination of the parameters of each high purity germanium, HPGe detectors ensure the precision of quantitative results obtained from spectrum analysis. This study presents a comprehensive performance evaluation and long-term quality control assessment of a high-purity germanium (HPGe) gamma spectrometry system that has been operational for over 15 years. Key spectrometric measures were recorded, including energy resolution, peak shape ratios, asymmetry, peak-to-Compton ratio, relative efficiency, electronic noise, minimum detectable activity (MDA), and repeatability and reproducibility of the system.
View Article and Find Full Text PDFACS Appl Bio Mater
September 2025
School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin 150001, China.
The generation of reactive oxygen species (ROS) through nanozyme-mediated sonocatalytic therapy has demonstrated remarkable therapeutic efficacy in the field of cancer. Nevertheless, it remains a significant challenge for nanozymes with a single catalytic active center to generate sufficient ROS via Fenton or Fenton-like reactions to effectively induce tumor cell death. In order to enhance the catalytic efficacy, we devised and synthesized a multiple active centre and mitochondrial-targeted perovskite nanozyme (NCFP), doped with cobalt (Co) element, and incorporated 4-carboxybutyltriphenylphosphonium bromide (TPP) as a mitochondrial targeting marker for ultrasound (US)-assisted enzyme-like catalytic treatment of tumors.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Departments of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, China, 86 18922109279, 86 20852523108.
Background: Despite the Coronary Artery Reporting and Data System (CAD-RADS) providing a standardized approach, radiologists continue to favor free-text reports. This preference creates significant challenges for data extraction and analysis in longitudinal studies, potentially limiting large-scale research and quality assessment initiatives.
Objective: To evaluate the ability of the generative pre-trained transformer (GPT)-4o model to convert real-world coronary computed tomography angiography (CCTA) free-text reports into structured data and automatically identify CAD-RADS categories and P categories.
J Chem Inf Model
September 2025
Department of Chemistry, Delaware State University, Dover, Delaware 19901, United States.
The calculation of the highest occupied molecular orbital-lowest unoccupied molecular orbital (HOMO-LUMO) gap for chemical molecules is computationally intensive using quantum mechanics (QM) methods, while experimental determination is often costly and time-consuming. Machine Learning (ML) offers a cost-effective and rapid alternative, enabling efficient predictions of HOMO-LUMO gap values across large data sets without the need for extensive QM computations or experiments. ML models facilitate the screening of diverse molecules, providing valuable insights into complex chemical spaces and integrating seamlessly into high-throughput workflows to prioritize candidates for experimental validation.
View Article and Find Full Text PDFPLoS One
September 2025
Hunan Mingxiang Aviation Technology Co., Ltd., Changsha, Hunan, China.
Flexible spacecraft possess the ability to adapt to complex environments and use energy more efficiently, offering enhanced flexibility and stability in space missions, particularly in tasks with significant external disturbances such as deep space exploration and satellite attitude control. However, vibration suppression in flexible spacecraft remains a critical challenge. This study addresses the problem of vibration suppression in flexible spacecraft systems under external disturbances and input constraints.
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