Resumo: Recently, new approaches have emerged to tackle materials modeling: i) Data analytics and ii) Perceptive experiences. Several initiatives have explored the use of Big-Data, data mining, and machine learning techniques on under-explored applications in materials science by taking advantage of high-throughput molecular simulations. On the other side, a perceptive experience allows us to be immersed and interact in the virtual reality environment and act as objects in that particular world or system in their relative time, size, and dynamic scales. This talk will highlight materials digital design studies at IFUSP involving multiscale simulations with data analytics and perceptive physics. Here, we have developed, designed, and explored the combination of multiscale molecular simulations, machine learning, and low-cost virtual reality (VR) techniques to provide immersive experiences for phenomena in materials at the nanoscale. This offers a unique opportunity to approach the materials discovery from a design perspective. Based on these intersections between science, art, and design, we will present examples involving nanostructured materials for energy transition applications, interfacial phenomena, and fluid dynamics at the nanoscale from fundamental physics to science dissemination.
Sobre o Palestrante: Bacharel em Física Aplicada, meste em Física e Doutor em Ciências pela Universidade Estadual de Campinas (2003) com sanduiche na University of Cambridge (Reino Unido). Foi Pesquisador Associado no The Abdus Salam International Centre of Theoretical Physics (ICTP) em Trieste – Itália, seguido de um Pós-Doutoramento no Massachusets Institute of Technology (MIT) em Cambridge-EUA. Foi Professor Assistente na Kyoto University (Japão) e da Universidade Federal do ABC. Atualmente é Professor Doutor no Instituto de Física da Universidade de São Paulo, onde desenvolve projetos em Física da Matéria Condensada, Nanociências, Ciência dos Materiais e Energia. Também realiza diálogos expandidos com as atividades de ensino e extensão através de projetos com o setor produtivo, empreendedorismo social, ciência e arte. Bolsista Produtividade em Pesquisa - PQ 1D - CNPq
Acesso:
