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Henrique Musseli Cezar

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Universidade de São Paulo (USP). Instituto de Física (IF)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Graduated in the Bachelor of Computational Physics Institute of Physics of São Carlos, USP and got his Master of Science (Applied Physics - Computational) at the same institute, he holds a PhD in Physics from the Institute of Physics (USP), working with condensed matter, and having interest on the development of methods for molecular simulation, such as Monte Carlo methods and molecular dynamics. He has experience in developing software for scientific computing and data analysis, and has worked on the implementation of new methods and parallelization of software using multi-process in shared memory. He has interest in physical-chemical and biochemical systems, in organic systems but also in nanomaterials. Has experience with Configurational Bias Monte Carlo methods, Metropolis Monte Carlo, Grand Canonical Monte Carlo, molecular dynamics and extended ensemble (such as Parallel Tempering Monte Carlo), as well as knowledge in global optmization of structures, clustering and parametrization of interatomic potentials. (Source: Lattes Curriculum)

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Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (1)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

CEZAR, HENRIQUE M.; RONDINA, GUSTAVO G.; DA SILVA, JUAREZ L. F.. Parallel tempering Monte Carlo combined with clustering Euclidean metric analysis to study the thermodynamic stability of Lennard-Jones nanoclusters. Journal of Chemical Physics, v. 146, n. 6, . Web of Science Citations: 5. (13/21045-2, 12/20890-8)

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