Repositório Colecção:
https://hdl.handle.net/1822/21303
2024-03-29T05:07:41ZPreface
https://hdl.handle.net/1822/68738
Título: Preface
Autor: Cunha, Jácome; Fernandes, João Paulo Sousa Ferreira; Lämmel, Ralf; Saraiva, João; Zaytsev, Vadim
Resumo: [Excerpt] We were pleased to welcome delegates to the 2018 IEEE Symposium on Visual Languages and
Human Centric Computing, held in Lisbon, Portugal at the Universidade NOVA de Lisboa. The
theme of 2018’s conference was Building Human-Adaptive Socio-Technical Systems. These
kinds of systems incorporate humans as both developers of and intrinsic parts of the system.
We invited three keynote speakers, two from academia and one from industry following this
theme. The first, Jason Hong, is a Professor in the Human-Computer Interaction Institute at
Carnegie Mellon University. His research focuses on human-computer interaction and privacy
and security, a combination that is exposed in new ways in Socio-Technical Systems. His talk
focused on understanding and building new tools that address developers’ issues with supporting
privacy. The second keynote was given by Geraldine Fitzpatrick who is a Professor of Technology
Design and Assessment and leads the Human Computer Interaction Group at TU Wien in Vienna,
Austria. Her research explores the intersection of social and computer sciences. Her talk uses the
domain of developing supportive technologies for aging people to expose issues around modelling
behaviors for systems and the realities of living with those models. The final keynote, from
industry, was given by Rodrigo Sousa Coutinho, the co-founder and Strategic Product Manager at
OutSystems, a Portugal-based software firm which constructed a platform that transforms visual
models into running enterprise-grade applications. His talk focused on the story of bringing their
visual language to market, and highlighted how OutSystems collaborated with academia. [...]
<b>Tipo</b>: bookEditorial2020-12-24T00:59:03ZSimulation of precipitation in an aluminum scandium alloy using kinetic Monte Carlo and DBSCAN algorithms
https://hdl.handle.net/1822/26387
Título: Simulation of precipitation in an aluminum scandium alloy using kinetic Monte Carlo and DBSCAN algorithms
Autor: Moura, Alfredo de; Esteves, António
Resumo: The present paper reports the precipitation process of Al3Sc structures in an aluminum scandium alloy, which has been simulated with a kinetic Monte Carlo (kMC) method. The kMC implementation is based on the vacancy diffusion mechanism. To filter the raw data generated by the kMC simulation, the density-based clustering with noise (DBSCAN) method was employed. kMC and DBSCAN algorithms were implemented in the C language. The undertaken simulations were conducted in the SeARCH cluster at the University of Minho. The study covers temperatures, concentrations, and dimensions, ranging from 578K to 873K, 0.25% to 5%, and 50x50x50 to 100x100x100. The Al3Sc precipitation was successfully simulated at the atomistic scale. DBSCAN revealed to be a valorous aid to identify the precipitates. The achieved results are in good agreement with those reported in the literature, but we went deeper in the evaluation of the influence of all the simulation and analysis parameters. A parallel version of the kMC algorithm using OpenMP was evaluated, which has not proved advantageous compared to the optimized sequential implementation.
<b>Tipo</b>: conferencePaper2013-11-27T17:06:12ZSimulation of the nucleation of the precipitate Al3Sc in an aluminum scandium alloy using molecular dynamics and kinetic Monte Carlo method
https://hdl.handle.net/1822/26385
Título: Simulation of the nucleation of the precipitate Al3Sc in an aluminum scandium alloy using molecular dynamics and kinetic Monte Carlo method
Autor: Costa, Sónia; Moura, Alfredo de; Esteves, António; Barbosa, J.; Pinto, A. M. P.; Braga, M. H.
Resumo: Low density, high strength to corrosion and specific strength to weight ratio are properties that made aluminum alloys excellent materials for transportation industry. A promising way to develop ultra-high strength aluminum alloys is achieved by the addition of metallic elements with low solubility in aluminum, promoting the Al3X (X = Sc) nanoparticles formation.
Moreover, Al alloys have applications in the aeronautic industry due to their enhanced mechanical properties if their specific strength to weight ratio is taken into account their specific strength to weight ratio. Our goal to study Al3Sc precipitates in Al alloys nucleation.
<b>Tipo</b>: conferencePoster2013-11-27T16:52:01ZSimulation of the nucleation of the precipitate Al3Sc in an aluminum scandium alloy using the kinetic monte carlo method
https://hdl.handle.net/1822/26382
Título: Simulation of the nucleation of the precipitate Al3Sc in an aluminum scandium alloy using the kinetic monte carlo method
Autor: Moura, Alfredo de; Esteves, António
Resumo: This paper describes the simulation of the phenomenon of nucleation of the precipitate Al3Sc in an Aluminum Scandium alloy using the kinetic Monte Carlo (kMC) method and the density-based clustering with noise (DBSCAN) method to filter the simulation data. To conduct this task, kMC and DBSCAN algorithms were implemented in C language. The study covers a range of temperatures, concentrations, and dimensions, going from 573K to 873K, 0.25% to 5%, and 50x50x50 to 100x100x100. The Al3Sc precipitation was successfully simulated at the atomistic scale. DBSCAN revealed to be a valorous aid to identify the precipitates. The achieved results are in good agreement with those reported in the literature, but we went deeper in the evaluation of the influence of all the simulation and analysis parameters.
<b>Tipo</b>: conferencePaper2013-11-27T15:58:24Z