Correction: Self-adaptive multiscaling algorithm for efficient simulations of many-protein systems in crowded conditions

Literature Information

Publication Date 2018-11-22
DOI 10.1039/C8CP91925A
Impact Factor 3.676
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Abstract

Correction for ‘Self-adaptive multiscaling algorithm for efficient simulations of many-protein systems in crowded conditions’ by Sergio A. Hassan et al., Phys. Chem. Chem. Phys., 2018, DOI: 10.1039/c8cp05517c.

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DOI: 10.1039/B511384A

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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