Tree of Science (ToS) is an integrated web-based platform for a comprehensive analysis of scientific literature. ToS is designed to facilitate finding relevant literature and can be used by students, researchers, and academics. Based on graph theory metrics, this tool visualizes the works in a knowledge field as a tree where the roots are classic articles, the trunk represents those articles that allow the area to grow, and the leaves are the recently published articles. This article provides a description of how to search, format, and upload the data and identify significant literature in a specific research area. Finally, a brief description of how the Tree of Science works.

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We present an open-source software package, Vegas, for the atomistic simulation of magnetic materials. Using the classical Heisenberg model and the Monte Carlo Metropolis algorithm, Vegas provides the required tools to simulate and analyze magnetic phenomena of a great variety of systems. Vegas stores the history of the simulation, i.e. the magnetization and energy of the system at every time step, allowing to analyze static and dynamic magnetic phenomena from results obtained in a single simulation. Also, standardized input and output file formats are employed to facilitate the simulation process and the exchange and archiving of data. We include results from simulations performed using Vegas, showing its applicability to study different magnetic phenomena.

Thermal and hysteretic magnetic properties of La2 /3 Ca1 /3 MnO 3 nanoparticles were studied using Monte Carlo simulations, with emphasis on the inuence of anisotropy. In this work, several nanoparticle sizes ranging from 2.32 nm to 11.58 nm were analyzed and their properties were compared to those of the bulk material. The magnetic behavior of the material was modeled using the three dimensional Heisenberg model with nearest neighbor interactions. Furthermore, both uniaxial and Néel anisotropies were considered for core and surface magnetic sites respectively. Deviations in the critical temperature and coercive eld were observed for nanoparticles when compared with those of the bulk material. In addition to these properties, the special spin congurations that arise from the competition between the exchange, anisotropy and external magnetic eld were also studied. All these eects are interpreted in terms of the surface properties such as the Néel anisotropy and the decrease in the coordination number.

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