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FLUID PHASE EQUILIBRIA

SCI/SCIE
FLUID PHASE EQUILIBRIA
雜志名稱:流體相平衡
簡稱:FLUID PHASE EQUILIBR
期刊ISSN:0378-3812
大類研究方向:工程技術
影響因子:2.514
數據庫類型:SCI/SCIE
是否OA:No
出版地:NETHERLANDS
年文章數:294
小類研究方向:工程技術-物理化學
審稿速度:約4.9個月
平均錄用比例:較易

官方網站:http://www.sciencedirect.com/science/journal/03783812

投稿網址:http://ees.elsevier.com/fpe/

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FLUID PHASE EQUILIBRIA

英文簡介

Fluid Phase Equilibria publishes high-quality papers dealing with experimental, theoretical, and applied research related to equilibrium and transport properties of fluids, solids, and interfaces. Subjects of interest include physical/phase and chemical equilibria; equilibrium and nonequilibrium thermophysical properties; fundamental thermodynamic relations; and stability. The systems central to the journal include pure substances and mixtures of organic and inorganic materials, including polymers, biochemicals, and surfactants with sufficient characterization of composition and purity for the results to be reproduced. Alloys are of interest only when thermodynamic studies are included, purely material studies will not be considered. In all cases, authors are expected to provide physical or chemical interpretations of the results.Experimental research can include measurements under all conditions of temperature, pressure, and composition, including critical and supercritical. Measurements are to be associated with systems and conditions of fundamental or applied interest, and may not be only a collection of routine data, such as physical property or solubility measurements at limited pressures and temperatures close to ambient, or surfactant studies focussed strictly on micellisation or micelle structure. Papers reporting common data must be accompanied by new physical insights and/or contemporary or new theory or techniques. All data reports and analyses will be examined by NIST for consistency with the requirements posted at http://trc.nist.gov/FPE-Support.htmlTheoretical and computational studies can include equations of state; correlations or predictive models; molecular dynamics and Monte Carlo simulations; statistical thermodynamics; quantum chemistry; and other applied mathematical and computational approaches. Research reporting new theories and models are expected to show adequate comparisons of predictive ability and accuracy with both applicable data and contemporary existing models. Contributions on artificial neural networks, machine learning, and similar approaches will only be considered when full details of the methodology are provided and comparisons of accuracy are made with existing physically-based models, or if no thermodynamic models are available. All reported computational studies must be fully reproducible by others. As such all algorithms and methods should be described in sufficient detail, all parameters for models, force fields, and electronic structure methods should be given explicitly in the manuscript or supporting information.The journal publishes full research papers and also short communications to describe emerging ideas for which rapid publication is essential. Critical reviews are encouraged and should be prepared in consultation with the Editor-in-Chief. The journal will not publish articles that have appeared partially, or completely, in other journals, that plagiarize other works, or that are incompletely referenced; verification will be made using the software at http://www.ithenticate.com/products/crosscheck. The text must be in English and should be clear, in a well-structured style, and be free of grammatical and spelling errors.

FLUID PHASE EQUILIBRIA

中文簡介

流體相平衡發表了有關流體、固體和界面平衡和傳輸特性的實驗、理論和應用研究的高質量論文。感興趣的主題包括物理/相和化學平衡、平衡和非平衡熱物理性質、基本熱力學關系和穩定性。該期刊的核心系統包括純物質和有機和無機材料的混合物,包括聚合物、生物化學物質和表面活性劑,它們對組成和純度有充分的表征,以使結果得以重現。只有當熱力學研究被包括在內時,合金才有意義,純材料研究將不被考慮。在所有情況下,作者應提供結果的物理或化學解釋。實驗研究可以包括在所有溫度、壓力和成分條件下的測量,包括臨界和超臨界。測量應與系統和基本或應用感興趣的條件相關聯,并且可能不僅是常規數據的集合,例如物理性質或在接近環境的有限壓力和溫度下的溶解度測量,或者表面活性劑研究嚴格關注膠束化或膠束結構。報告共同數據的論文必須附有新的物理見解和/或當代或新的理論或技術。所有數據報告和分析將由NIST檢查是否符合http://trc.nist.gov/fpe-support.html上發布的要求。理論和計算研究可以包括狀態方程、關聯或預測模型、分子動力學和蒙特卡羅模擬、統計熱力學、量子化學以及其他應用數學和計算方法。報告新理論和模型的研究預計將顯示預測能力和準確性與適用數據和當代現有模型的充分比較。只有在提供了方法的全部細節,并將精度與現有的物理模型進行了比較,或沒有可用的熱力學模型時,才會考慮對人工神經網絡、機器學習和類似方法的貢獻。所有報告的計算研究必須能被其他人完全復制。因此,所有算法和方法都應詳細描述,模型、力場和電子結構方法的所有參數應在手稿或支持信息中明確給出。該雜志發表了完整的研究論文和簡短的交流,以描述快速出版是必不可少的新思想。鼓勵進行評論,并應與總編輯協商準備。期刊不會發表在其他期刊上部分或全部出現的、剽竊其他作品或引用不完整的文章;將使用http://www.itheticate.com/products/crosscheck上的軟件進行驗證。文本必須是英文的,并應清晰,結構良好的風格,沒有語法和拼寫錯誤。

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