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Machine learning for Materials Science: 2D materials discovery and design

Grant number: 17/18139-6
Support Opportunities:Scholarships in Brazil - Doctorate
Effective date (Start): January 01, 2018
Effective date (End): August 31, 2021
Field of knowledge:Physical Sciences and Mathematics - Physics - Condensed Matter Physics
Principal Investigator:Adalberto Fazzio
Grantee:Gabriel Ravanhani Schleder
Host Institution: Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas (CECS). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil

Abstract

Today, every field is being affected by a 'data deluge' resulting from advances in information technologies. Experimental, Theoretical, and Computational Sciences can all benefit from this progress and integrate it into a new fourth data-intensive science paradigm. The techniques needed to handle the large amounts of data produced only recently were made possible due to high-performance computation and new analytical developments. Innovations in advanced materials to technology are critical to society, determining its progress and being linked with the whole period (e.g. the Silicon Age). Materials innovations correspond to the majority of advancements in severals industries, however, their development traditionally demands a long and costly period, causing a lack of investment in this initial stage. Once a material is consolidated, it rarely is substituted because of the costs associated with large-scale production. Therefore, introducing material for specific sectors is increasingly important for their success, and recently several new technological niches need potential materials. We propose using a recently developed methodology to deal with large amounts of data produced by high-throughput computational simulations based on Density Functional Theory (DFT), in order to produce physically meaningful descriptors, that are functions describing the studied phenomena in terms of the material constituent atoms properties only. This methodology will be applied to understand and design novel two-dimensional materials focusing on electronic, thermal stability and photoelectrocatalytic properties, aiming at advanced cutting-edge technological applications. (AU)

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Scientific publications (25)
(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)
SOUZA JUNIOR, JOAO BATISTA; SCHLEDER, GABRIEL RAVANHANI; BETTINI, JEFFERSON; NOGUEIRA, ICAMIRA COSTA; FAZZIO, ADALBERTO; LEITE, EDSON ROBERTO. Pair Distribution Function Obtained from Electron Diffraction: An Advanced Real-Space Structural Characterization Tool. MATTER, v. 4, n. 2, p. 441-460, . (13/07296-2, 17/18139-6, 18/05159-1, 17/02317-2)
SCHLEDER, GABRIEL RAVANHANI; PADILHA, ANTONIO CLAUDIO M.; ROCHA, ALEXANDRE REILY; DALPIAN, GUSTAVO MARTINI; FAZZIO, ADALBERTO. Ab lnitio Simulations and Materials Chemistry in the Age of Big Data. JOURNAL OF CHEMICAL INFORMATION AND MODELING, v. 60, n. 2, p. 452-459, . (17/18139-6, 18/05565-0, 17/02317-2)
ALBANO, LUIZ G. S.; DE CAMARGO, DAVI H. S.; SCHLEDER, GABRIEL R.; DEEKE, SAMANTHA G.; VELLO, TATIANA P.; PALERMO, LEIRSON D.; CORREA, CATIA C.; FAZZIO, ADALBERTO; WOELL, CHRISTOF; BUFON, CARLOS C. B.. Room-Temperature Negative Differential Resistance in Surface-Supported Metal-Organic Framework Vertical Heterojunctions. SMALL, v. 17, n. 35, . (17/18139-6, 14/25979-2, 16/25346-5, 14/50906-9, 19/01561-2, 17/02317-2, 17/25553-3)
CLARO, PEDRO I. C.; BORGES, EGON P. B. S.; SCHLEDER, GABRIEL R. R.; ARCHILHA, NATHALY L. L.; PINTO, ALLAN; CARVALHO, MURILO; DRIEMEIER, CARLOS E. E.; FAZZIO, ADALBERTO; GOUVEIA, RUBIA F. F.. From micro- to nano- and time-resolved x-ray computed tomography: Bio-based applications, synchrotron capabilities, and data-driven processing. APPLIED PHYSICS REVIEWS, v. 10, n. 2, p. 19-pg., . (21/03097-1, 17/18139-6, 17/02317-2, 14/50884-5, 18/16453-8, 20/08651-4)
FOCASSIO, BRUNO; SCHLEDER, GABRIEL R.; PEZO, ARMANDO; COSTA, MARCIO; FAZZIO, ADALBERTO. Dual topological insulator device with disorder robustness. PHYSICAL REVIEW B, v. 102, n. 4, p. 6-pg., . (17/02317-2, 19/04527-0, 16/14011-2, 17/18139-6)
NICOLICHE, CAROLINE Y. N.; DE OLIVEIRA, RICARDO A. G.; SILVA, GIULIA S.; FERREIRA, LARISSA F.; RODRIGUES, IAN L.; FARIA, RONALDO C.; FAZZIO, ADALBERTO; CARRILHO, EMANUEL; DE PONTES, LETICIA G.; SCHLEDER, GABRIEL R.; et al. Converging Multidimensional Sensor and Machine Learning Toward High-Throughput and Biorecognition Element-Free Multidetermination of Extracellular Vesicle Biomarkers. ACS SENSORS, v. 5, n. 7, p. 8-pg., . (17/02317-2, 18/24214-3, 14/50867-3, 17/18139-6)
GIUSTINO, FELICIANO; LEE, JIN HONG; TRIER, FELIX; BIBES, MANUEL; WINTER, STEPHEN M.; VALENTI, ROSER; SON, YOUNG-WOO; TAILLEFER, LOUIS; HEIL, CHRISTOPH; FIGUEROA, I, ADRIANA; et al. The 2021 quantum materials roadmap. JOURNAL OF PHYSICS-MATERIALS, v. 3, n. 4, . (17/18139-6, 17/02317-2)
PEZO, ARMANDO; FOCASSIO, BRUNO; SCHLEDER, GABRIEL R.; COSTA, MARCIO; LEWENKOPF, CAIO; FAZZIO, ADALBERTO. Disorder effects of vacancies on the electronic transport properties of realistic topological insulator nanoribbons: The case of bismuthene. PHYSICAL REVIEW MATERIALS, v. 5, n. 1, . (17/02317-2, 19/04527-0, 17/18139-6, 16/14011-2)
FOCASSIO, BRUNO; SCHLEDER, GABRIEL R.; COSTA, MARCIO; FAZZIO, ADALBERTO; LEWENKOPF, CAIO. Structural and electronic properties of realistic two-dimensional amorphous topological insulators. 2D MATERIALS, v. 8, n. 2, . (17/18139-6, 16/14011-2, 17/02317-2, 19/04527-0)
COSTA, MARCIO; SCHLEDER, GABRIEL R.; NARDELLI, MARCO BUONGIORNO; LEWENKOPF, CAIO; FAZZIO, ADALBERTO. Toward Realistic Amorphous Topological Insulators. Nano Letters, v. 19, n. 12, p. 8941-8946, . (17/18139-6, 17/02317-2, 16/14011-2)
DA SILVA, GIULIA S.; DE OLIVEIRA, LUIZA P.; COSTA, GABRIEL F.; GIORDANO, GABRIELA F.; NICOLICHE, CAROLINE Y. N.; DA SILVA, ALEXANDRE A.; KHAN, LATIF U.; DA SILVA, GABRIELA H.; GOBBI, ANGELO L.; SILVEIRA, JOSE V.; et al. Ordinary microfluidic electrodes combined with bulk nanoprobe produce multidimensional electric double-layer capacitances towards metal ion recognition. SENSORS AND ACTUATORS B-CHEMICAL, v. 305, . (17/18139-6, 17/00463-1, 17/02317-2)
FOCASSIO, BRUNO; SCHLEDER, GABRIEL R.; PEZO, ARMANDO; COSTA, MARCIO; FAZZIO, ADALBERTO. Dual topological insulator device with disorder robustness. Physical Review B, v. 102, n. 4, . (17/02317-2, 16/14011-2, 19/04527-0, 17/18139-6)
SCHLEDER, GABRIEL R.; AZEVEDO, GUSTAVO M.; NOGUEIRA, ICAMIRA C.; REBELO, QUEREM H. F.; BETTINI, JEFFERSON; FAZZIO, ADALBERTO; LEITE, EDSON R.. Decreasing Nanocrystal Structural Disorder by Ligand Exchange: An Experimental and Theoretical Analysis. Journal of Physical Chemistry Letters, v. 10, n. 7, p. 1471-1476, . (17/18139-6, 17/02317-2, 13/07296-2)
SCHLEDER, GABRIEL R.; ACOSTA, CARLOS MERA; FAZZIO, ADALBERTO. Exploring Two-Dimensional Materials Thermodynamic Stability via Machine Learning. ACS APPLIED MATERIALS & INTERFACES, v. 12, n. 18, p. 20149-20157, . (18/11856-7, 17/18139-6, 17/02317-2)
SOUZA JUNIOR, JOAO BATISTA; SCHLEDER, GABRIEL RAVANHANI; COLOMBARI, FELIPPE MARIANO; DE FARIAS, MARCELO ALEXANDRE; BETTINI, JEFFERSON; VAN HEEL, MARIN; PORTUGAL, RODRIGO VILLARES; FAZZIO, ADALBERTO; LEITE, EDSON ROBERTO. Pair Distribution Function from Electron Diffraction in Cryogenic Electron Microscopy: Revealing Glassy Water Structure. Journal of Physical Chemistry Letters, v. 11, n. 4, p. 1564-1569, . (17/02317-2, 13/07296-2, 17/18139-6, 18/05159-1)
GIORDANO, GABRIELA F.; VIEIRA, LUIS C. S.; GOMES, ALEXANDRE O.; DE CARVALHO, ROGERIO M.; KUBOTA, LAURO T.; FAZZIO, ADALBERTO; SCHLEDER, GABRIEL R.; GOBBI, ANGELO L.; LIMA, RENATO S.. Distilling small volumes of crude oil. FUEL, v. 285, . (17/02317-2, 17/18139-6)
SCHLEDER, GABRIEL R.; FOCASSIO, BRUNO; FAZZIO, ADALBERTO. Machine learning for materials discovery: Two-dimensional topological insulators. APPLIED PHYSICS REVIEWS, v. 8, n. 3, . (17/02317-2, 17/18139-6, 19/04527-0)
DE LIMA, FELIPE C.; SCHLEDER, GABRIEL R.; SOUZA JUNIOR, JOAO B.; SOUZA, FLAVIO L.; DESTRO, FABRICIO B.; MIWA, ROBERTO H.; LEITE, EDSON R.; FAZZIO, ADALBERTO. Unveiling the dopant segregation effect at hematite interfaces. Applied Physics Letters, v. 118, n. 20, . (18/05159-1, 17/02317-2, 17/18139-6, 19/20857-0, 13/07296-2)
FOCASSIO, BRUNO; SCHLEDER, GABRIEL R.; DE LIMA, FELIPE CRASTO; LEWENKOPF, CAIO; FAZZIO, ADALBERTO. morphous Bi2Se3 structural, electronic, and topological nature from first principle. Physical Review B, v. 104, n. 21, . (17/02317-2, 17/18139-6, 19/04527-0, 19/20857-0)
PETRY, ROMANA; FOCASSIO, BRUNO; SCHLEDER, GABRIEL R.; MARTINEZ, DIEGO STEFANI T.; FAZZIO, ADALBERTO. Conformational analysis of tannic acid: Environment effects in electronic and reactivity properties. Journal of Chemical Physics, v. 154, n. 22, . (19/04527-0, 17/02317-2, 17/18139-6, 18/25103-0)
GIORDANO, GABRIELA F.; FREITAS, VITORIA M. S.; SCHLEDER, GABRIEL R.; SANTHIAGO, MURILO; GOBBI, ANGELO L.; LIMA, RENATO S.. Bifunctional Metal Meshes Acting as a Semipermeable Membrane and Electrode for Sensitive Electrochemical Determination of Volatile Compounds. ACS APPLIED MATERIALS & INTERFACES, v. 13, n. 30, p. 35914-35923, . (17/18139-6)
TRITSARIS, GEORGIOS A.; CARR, STEPHEN; SCHLEDER, GABRIEL R.. Computational design of moire assemblies aided by artificial intelligence. APPLIED PHYSICS REVIEWS, v. 8, n. 3, . (17/18139-6)
FOCASSIO, BRUNO; FIUZA, TANNA E. R.; BETTINI, JEFFERSON; SCHLEDER, GABRIEL R.; RODRIGUES, MURILLO H. M.; JUNIOR, JOAO B. SOUZA; LEITE, EDSON R.; FAZZIO, ADALBERTO; CAPAZ, RODRIGO B.. Stability and Rupture of an Ultrathin Ionic Wire. Physical Review Letters, v. 129, n. 4, p. 6-pg., . (20/06257-7, 13/07296-2, 19/04527-0, 17/02317-2, 17/18139-6)
COSTA, MARCIO; SCHLEDER, GABRIEL R.; MERA ACOSTA, CARLOS; PADILHA, ANTONIO C. M.; CERASOLI, FRANK; BUONGIORNO NARDELLI, MARCO; FAZZIO, ADALBERTO. Discovery of higher-order topological insulators using the spin Hall conductivity as a topology signature. NPJ COMPUTATIONAL MATERIALS, v. 7, n. 1, . (17/02317-2, 16/14011-2, 17/18139-6, 18/11856-7, 18/05565-0)
SCHLEDER, GABRIEL R.; PADILHA, ANTONIO C. M.; ACOSTA, CARLOS MERA; COSTA, MARCIO; FAZZIO, ADALBERTO. From DFT to machine learning: recent approaches to materials science-a review. JOURNAL OF PHYSICS-MATERIALS, v. 2, n. 3, p. 46-pg., . (18/11856-7, 18/05565-0, 17/02317-2, 16/14011-2, 17/18139-6)

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