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The pursuit of quantitatively accurate electron correlation calculations for realistic large strongly correlated systems presents significant theoretical and computational challenges. These challenges stem primarily from two fundamental aspects: the inherent complexity of treating static correlations within extensive active spaces and the additional difficulty of incorporating dynamic correlation effects from the external space. In this comprehensive perspective, we systematically review and analyze state-of-the-art methodologies that address dynamic correlation beyond large active spaces, with particular emphasis on approaches that circumvent the computational burden associated with high-order reduced density matrices. Through careful classification, we have organized these advanced techniques into seven distinct categories. To illustrate the practical application and comparative performance of these newly developed methods, we present a detailed case study involving the calculation of potential energy curves for the neodymium oxide (NdO) molecule. It is our expectation that this work will not only provide valuable insights for future multi-reference calculations in large strongly correlated systems but also stimulate the development of innovative methodologies specifically tailored for handling extensive active spaces in multi-reference calculations.
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http://dx.doi.org/10.1039/d5cp00998g | DOI Listing |
Epileptic Disord
September 2025
Department of Neurology, Neurocritical Care and Neurorehabilitation, Christian Doppler University Hospital, Centre for Cognitive Neuroscience, Member of the European Reference Network EpiCARE, Paracelsus Medical University of Salzburg, Salzburg, Austria.
Int J Surg
September 2025
Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Objectives: To provide a bibliometric overview of the global research on the therapeutic applications of the suprachoroidal space (SCS) from 2000 to 2024.
Methods: Publications were retrieved from the Web of Science Core Collection using a defined search strategy. A total of 776 articles were analyzed for trends in publication volume, countries, institutions, authorship, journals, citations, and keywords.
mBio
September 2025
School of Life Sciences, University of Warwick, Coventry, United Kingdom.
The FtsEX-EnvC-AmiA/B system is a key component of the cell division machinery that directs breakage of the peptidoglycan layer during separation of daughter cells. Structural and mechanistic studies have shown that ATP binding by FtsEX in the cytoplasm drives periplasmic conformational changes in EnvC, which lead to the binding and activation of peptidoglycan amidases such as AmiA and AmiB. The FtsEX-EnvC amidase system is highly regulated to prevent cell lysis with at least two separate layers of autoinhibition that must be relieved to initiate peptidoglycan hydrolysis during division.
View Article and Find Full Text PDFJ Craniofac Surg
September 2025
Department of Plastic Surgery, Armed Forces Capital Hospital, Bundang-gu, Seongnam-City, Gyeonggi-do.
The Northern Renaissance motif of Weibermacht-the "power of woman"-depicted female beauty as a destabilizing force capable of undermining male authority, intellect, and divine order. These visual allegories, featuring figures such as Phyllis, Judith, and Delilah, warned of the dangers inherent in seductive appearance. Far from neutral, beauty was rendered as morally volatile, triggering cultural anxiety through its capacity to challenge patriarchal norms.
View Article and Find Full Text PDFDrug Dev Res
September 2025
Department of Pharmaceutical Chemistry, ISF College of Pharmacy, Moga, Punjab, India.
The epidermal growth factor receptor (EGFR) is a common diver gene for lung cancer (NSCLC), which leads to an increasing death rate worldwide. This study reports the design, synthesis, and biological evaluation of triazole-clubbed pyrimidine derivatives (RDa-RDm) as potential anticancer agents. Thirteen compounds were synthesized and screened against the A549 lung cancer cell line.
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