2025
article
OpenAlex
Paulo Douglas Santos de Lima, R. De La Cour, K. Gaff, João M. de Araújo et autres
Mutually repelling particles spontaneously form ordered clusters when forced into confinement. The clusters may adopt similar spatial arrangements even if the underlying particle interactions are contrastingly different. Here, we demonstrate with both simulations and experiments that it is possible to induce particles …
br, ie, gb
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2025
article
OpenAlex
Paulo Douglas Santos de Lima, Eric Janses Fernandes Tinoco, Marta Sousa, João M. de Araújo et autres
ie, br
(code pays fourni par la source)
2025
article
OpenAlex
Dandara Lima de Souza, Paulo Douglas Santos de Lima, João M. de Araújo, Gilberto Corso
br, ie
(code pays fourni par la source)
2025
article
OpenAlex
David Duarte, Paulo Douglas Santos de Lima, João M. de Araújo
Recent advances in machine learning have introduced physics-informed neural networks (PINN) as a valuable tool for addressing dynamics through governing equations and experimental observations. Outliers can be present in measurements and significantly affect the accuracy of the solutions provided by PINN. To …
br, sa, ie
(code pays fourni par la source)
2024
article
OpenAlex
Paulo Douglas Santos de Lima, ArnoldR. Lyons, Ali Irannezhad, João M. de Araújo et autres
Motivated by the idea of using simple macroscopic examples to illustrate the physics of complex systems, we modify a historic experimental setup in which interacting floating magnets spontaneously self-assemble into ordered clusters. By making the cluster components mechanically stable against their natural …
ie, br
(code pays fourni par la source)
Accès ouvert
2024
article
OpenAlex
Dasaev O. Fontinele, Paulo Douglas Santos de Lima, Yuri S. Messias, R. L. Gomes et autres
Abstract This study presents the results of a search for rotation signatures in 250 Gaia Data Release 3 ultra-cool dwarfs (UCDs) with TESS light curves (LCs). We identified 71 targets with unambiguous periodicities, of which 61 present rotation signatures and a single-source …
Accès ouvert
2024
article
OpenAlex
Juli Sergine Tavares Teixeira Saldanha, Jaime Andres Collazos Gonzalez, Paulo Douglas Santos de Lima, Hugo Alexandre Dantas do Nascimento et autres
The application of machine learning in geophysics has steeply increased in the last decade, with the quality of its results varying according to the type of seismic problem in focus and the employed computational method. Deep Learning methods are achieving impressive results …
br
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Accès ouvert
2024
article
OpenAlex
Paulo Douglas Santos de Lima, João M. de Araújo, M. S. Ferreira
Abstract Inverse problems in science normally involve the challenge of obtaining from a set of observations the causal factors that generated them in the first place. However, physics students are seldom exposed to such problems as part of their training. Here we …
br, ie
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Accès ouvert
2024
preprint
OpenAlex
Paulo Douglas Santos de Lima, M. Sousa, João M. de Araújo, F.A.L. Santiago et autres
br
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Accès ouvert
2023
preprint
OpenAlex
Paulo Douglas Santos de Lima, M. S. Ferreira, Gilberto Corso, João M. de Araújo
Time-lapse images carry out important information about dynamic changes in Earth's interior which can be inferred using different Full Waveform Inversion (FWI) schemes. The estimation process is performed by manipulating more than one seismic dataset, associated with the baseline and monitors surveys. …
2023
article
OpenAlex
Paulo Douglas Santos de Lima, Gilberto Corso, M. S. Ferreira, João M. de Araújo
br, ie
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Accès ouvert
2022
article
OpenAlex
Romayana Medeiros de Oliveira Tavares, Cristiane Fernandes de Assis, Patrícia de Oliveira Lima, Paulo Douglas Santos de Lima et autres
(L.) Walp] by evaluating the effects of heat treatment and kinetic behavior on the peroxidase (POD) activity and on the physical characteristics (firmness, color, mass gain). A factorial design (3 × 6) with temperature (70, 80, and 90 °C) and time (1, …
br
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