We present an efficient implementation of the direct random phase approximation (RPA) for molecular systems within the domain-based local pair natural orbital (DLPNO) framework. With recommended loose, normal, and tight parameter settings, DLPNO-RPA achieves approximately 99.7-99.95% accuracy in the total correlation energy compared to a canonical implementation, enabling highly accurate reaction energies and potential energy surfaces to be computed while substantially reducing computational costs. As an application, we demonstrate the capability of DLPNO-RPA to efficiently calculate basis set-converged binding energies for a set of large molecules, with results showing excellent agreement with high-level reference data from both coupled cluster and diffusion Monte Carlo. This development paves the way for the routine use of RPA-based methods in molecular quantum chemistry.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.jctc.4c01540 | DOI Listing |
Mol Ecol Resour
March 2025
Museum für Naturkunde, Center for Integrative Biodiversity Discovery, Leibniz-Institut für Evolutions-Und Biodiversitätsforschung, Berlin, Germany.
Widespread insect decline necessitates the development and use of standardized protocols for regular monitoring. These methods have to be rapid, efficient and cost-effective to allow for large-scale implementation. Many insect sampling and molecular methods have been developed.
View Article and Find Full Text PDFRisk Manag Healthc Policy
March 2025
Passionate Healthcare Strategist | Change Leader & Trusted Consultant | Driving Operational Excellence & Innovation in Healthcare and Beyond at Ascend Solutions, Western Region, Saudi Arabia.
Background: The integration of big data analytics in healthcare has become essential for enhancing operational performance, particularly within Emergency Departments (EDs), where efficiency improvements can significantly impact patient satisfaction and resource utilization.
Aim: This study examines the impact of big data analytics on ED performance metrics within Saudi Arabia's Ministry of Health (MOH) hospitals, with a focus on key performance indicators (KPIs) and the effectiveness of the Ada'a Health Program in optimizing ED operations.
Methods: A retrospective observational study was conducted across 10 hospitals in five regions of Saudi Arabia.
Cureus
February 2025
Conservative Dentistry and Endodontics, Bharati Vidyapeeth (Deemed to be University) Dental College and Hospital, Navi Mumbai, IND.
Integrating the artificial intelligence (AI) cloud into dental clinics can enhance diagnostics, streamline operations, and improve patient care. This article explores the adoption of AI-powered cloud solutions in dental clinics, focusing on infrastructure requirements, software licensing, staff training, system optimization, and the challenges faced during implementation. It provides a detailed guide for dental practices to transition to AI cloud systems.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
SKEZI, Les Papèteries-Image Factory, Annecy, France.
Background: At the end of 2023, Bayer AG launched its own internal large language model (LLM), MyGenAssist, based on ChatGPT technology to overcome data privacy concerns. It may offer the possibility to decrease their harshness and save time spent on repetitive and recurrent tasks that could then be dedicated to activities with higher added value. Although there is a current worldwide reflection on whether artificial intelligence should be integrated into pharmacovigilance, medical literature does not provide enough data concerning LLMs and their daily applications in such a setting.
View Article and Find Full Text PDFPLoS One
March 2025
Department of International Public Health, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Background: Vector control remains the principal method to prevent malaria transmission and has led to significant reductions in malaria incidence across endemic regions. However, such gains have stagnated, underscoring the need to tailor vector control to local drivers of transmission. An Entomological Surveillance Planning Tool (ESPT) was designed to translate normative guidance into an operational tool that supports cost effective, locally tailored, and evidence-based vector control.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!