Few-body Systems

雜志介紹

Few-body Systems雜志介紹

《Few-body Systems》是一本以English為主的未開放獲取國際優(yōu)秀期刊，中文名稱少體系統(tǒng)，本刊主要出版、報(bào)道物理與天體物理-PHYSICS, MULTIDISCIPLINARY領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1.7，最新CiteScore 指數(shù)為2.9。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Electric Properties of the Neon-31 Nuclei Under Halo EFT Formalism

  Author: Fei He

• ChPT Calculation for Two Pion Production in NN Collision Reaction at Threshold

  Author: B. C. Liu

• Systematic Calculations of <Emphasis Type="Italic">α</Emphasis>-Decay Half-Lives of Well Deformed Nuclei

  Author: Zhongzhou Ren, Dongdong Ni

• Nystr?m Method for the Coulomb and Screened Coulomb Potentials

  Author: Jiao-Kai Chen

英文介紹

Few-body Systems雜志英文介紹

The journal Few-Body Systems presents original research work – experimental, theoretical and computational – investigating the behavior of any classical or quantum system consisting of a small number of well-defined constituent structures. The focus is on the research methods, properties, and results characteristic of few-body systems. Examples of few-body systems range from few-quark states, light nuclear and hadronic systems; few-electron atomic systems and small molecules; and specific systems in condensed matter and surface physics (such as quantum dots and highly correlated trapped systems), up to and including large-scale celestial structures.

Systems for which an equivalent one-body description is available or can be designed, and large systems for which specific many-body methods are needed are outside the scope of the journal.

The journal is devoted to the publication of all aspects of few-body systems research and applications. While concentrating on few-body systems well-suited to rigorous solutions, the journal also encourages interdisciplinary contributions that foster common approaches and insights, introduce and benchmark the use of novel tools (e.g. machine learning) and develop relevant applications (e.g. few-body aspects in quantum technologies).