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Maicon Pierre Lourenço
Maicon Pierre Lourenço
Email verificata su ufes.br
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Citata da
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Anno
Stability and Effects of Subsurface Oxygen in Oxide-Derived Cu Catalyst for CO2 Reduction
C Liu, MP Lourenço, S Hedström, F Cavalca, O Diaz-Morales, ...
The Journal of Physical Chemistry C 121 (45), 25010-25017, 2017
1232017
Stability, structure, and electronic properties of the pyrite/arsenopyrite solid–solid interface–A DFT study
EC Dos Santos, MP Lourenço, LGM Pettersson, HA Duarte
The Journal of Physical Chemistry C 121 (14), 8042-8051, 2017
572017
Nanotubes with well-defined structure: single-and double-walled imogolites
MP Lourenco, L Guimaraes, MC Da Silva, C De Oliveira, T Heine, ...
The Journal of Physical Chemistry C 118 (11), 5945-5953, 2014
552014
Structural, electronic, and mechanical properties of single-walled chrysotile nanotube models
MP Lourenco, C de Oliveira, AF Oliveira, L Guimaraes, HA Duarte
The Journal of Physical Chemistry C 116 (17), 9405-9411, 2012
552012
Imogolite-like nanotubes: structure, stability, electronic and mechanical properties of the phosphorous and arsenic derivatives
L Guimaraes, YN Pinto, MP Lourenço, HA Duarte
Physical Chemistry Chemical Physics 15 (12), 4303-4309, 2013
352013
Clay mineral nanotubes: stability, structure and properties
HA Duarte, MP Lourenço, T Heine, L Guimarães
Stoichiometry and materials science—When numbers matter, 3-24, 2012
332012
FASP: a framework for automation of Slater–Koster file parameterization
MP Lourenço, MC da Silva, AF Oliveira, MC Quintão, HA Duarte
Theoretical Chemistry Accounts 135, 1-12, 2016
252016
A new active learning approach for global optimization of atomic clusters
MP Lourenco, BRL Galvao, L Barrios Herrera, J Hostaš, A Tchagang, ...
Theoretical Chemistry Accounts 140 (6), 62, 2021
232021
Reliability of semiempirical and DFTB methods for the global optimization of the structures of nanoclusters
BRL Galvao, LP Viegas, DR Salahub, MP Lourenço
Journal of Molecular Modeling 26, 1-8, 2020
222020
Accurate SCC-DFTB parametrization for bulk water
MP Lourenco, EC Dos Santos, LGM Pettersson, HA Duarte
Journal of Chemical Theory and Computation 16 (3), 1768-1778, 2020
222020
Benzocaine Complexation with p‐Sulfonic Acid Calix[n]arene: Experimental (1H‐NMR) and Theoretical Approaches
LM Arantes, EVV Varejao, KJ Pelizzaro‐Rocha, CMS Cereda, E de Paula, ...
Chemical biology & drug design 83 (5), 550-559, 2014
212014
Structural, electronic, and mechanical properties of inner surface modified imogolite nanotubes
MC da Silva, EC dos Santos, MP Lourenco, MP Gouvea, HA Duarte
Frontiers in Materials 2, 16, 2015
202015
GAMaterial—A genetic‐algorithm software for material design and discovery
MP Lourenço, J Hostaš, LB Herrera, P Calaminici, AM Köster, ...
Journal of Computational Chemistry 44 (7), 814-823, 2023
192023
An adaptive design approach for defects distribution modeling in materials from first-principle calculations
MP Lourenço, A dos Santos Anastácio, AL Rosa, T Frauenheim, ...
Journal of molecular modeling 26, 1-12, 2020
182020
Hexatetra-Carbon: A Novel Two-Dimensional Semiconductor Allotrope of Carbon
M Naseri, J Jalilian, DR Salahub, MP Lourenço, G Rezaei
Computation 10 (2), 19, 2022
152022
Automatic structural elucidation of vacancies in materials by active learning
MP Lourenço, LB Herrera, J Hostaš, P Calaminici, AM Köster, ...
Physical Chemistry Chemical Physics 24 (41), 25227-25239, 2022
132022
Taking the multiplicity inside the loop: active learning for structural and spin multiplicity elucidation of atomic clusters
MP Lourenço, LB Herrera, J Hostaš, P Calaminici, AM Köster, ...
Theoretical Chemistry Accounts 140, 1-10, 2021
122021
A new active learning approach for adsorbate–substrate structural elucidation in silico
MP Lourenço, LB Herrera, J Hostaš, P Calaminici, AM Köster, ...
Journal of Molecular Modeling 28 (6), 178, 2022
102022
Perovskenes: two-dimensional perovskite-type monolayer materials predicted by first-principles calculations
M Naseri, S Amirian, M Faraji, MA Rashid, MP Lourenço, V Thangadurai, ...
Physical Chemistry Chemical Physics 26 (2), 946-957, 2024
92024
QMLMaterial─ A Quantum Machine Learning Software for Material Design and Discovery
MP Lourenço, LB Herrera, J Hostaš, P Calaminici, AM Köster, ...
Journal of Chemical Theory and Computation 19 (17), 5999-6010, 2023
82023
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