- Laser-induced spectroscopy and plasma
- Quantum optics and atomic interactions
- Cold Atom Physics and Bose-Einstein Condensates
- Strong Light-Matter Interactions
- Orbital Angular Momentum in Optics
- Advanced Fiber Laser Technologies
- Advanced Memory and Neural Computing
- Neural Networks and Reservoir Computing
- Microfluidic and Bio-sensing Technologies
- Nonlinear Dynamics and Pattern Formation
- Nonlinear Photonic Systems
- Analytical chemistry methods development
- Random lasers and scattering media
- Quantum Electrodynamics and Casimir Effect
- Cultural Heritage Materials Analysis
- Mercury impact and mitigation studies
- Laser-Matter Interactions and Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Optical Network Technologies
- Machine Learning and ELM
- Spectroscopy and Chemometric Analyses
- Nonlinear Waves and Solitons
- Plasmonic and Surface Plasmon Research
- Quantum Information and Cryptography
- Photonic and Optical Devices
INESC TEC
2016-2025
Universidade do Porto
2016-2025
Institute for Systems Engineering and Computers
2023
Hospital da Luz
2021
Centre for Health Technology and Services Research
2016
University of Coimbra
2016
University of Aveiro
2016
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento
2014
Abstract Reservoir computing is a promising framework that facilitates the approach to physical neuromorphic hardware by enabling given nonlinear system act as platform. In this work, we exploit paradigm propose versatile and robust soliton-based using discrete soliton chain reservoir. By taking advantage of its tunable governing dynamics, show sufficiently strong dynamics allows our solution perform accurate regression classification tasks non-linear separable datasets. At conceptual level,...
As lithium-bearing minerals become critical raw materials for the field of energy storage and advanced technologies, development tools to accurately identify differentiate these is becoming essential efficient resource exploration, mining, processing. Conventional methods identifying ore often depend on subjective observation skills experts, which can lead errors, or expensive time-consuming techniques such as Inductively Coupled Plasma Mass Spectrometry (ICP-MS) Optical Emission...
Spectral Imaging techniques such as Laser-induced Breakdown Spectroscopy (LIBS) and Raman (RS) enable the localized acquisition of spectral data, providing insights into presence, quantity, spatial distribution chemical elements or molecules within a sample. This significantly expands accessible information compared to conventional imaging approaches machine vision. However, despite its potential, also faces specific challenges depending on limitations spectroscopy technique used, signal...
Abstract Multimodal spectral imaging offers a unique approach to the enhancement of analytical capabilities standalone spectroscopy techniques by combining information gathered from distinct sources. In this manuscript, we explore such opportunities focusing on two well-known techniques, namely laser-induced breakdown spectroscopy, and hyperspectral imaging, collaborative sensing for case study involving mineral identification. specific, work builds upon approaches: traditional sensor...
In this work, we investigate the superfluidic properties of light propagating in a four-level coherent atomic medium. The model is derived under paraxial approximation form generalized nonlinear Schrödinger equation and features spatially controllable quantum-enhanced optical properties, which can offer new possibilities field analogue systems. particular, use versatility to study dynamics an vortex beam confined nontrivial connected geometry, finding numerical evidence another signature...
This study aimed to investigate whether sedentary time (Sed) and physical activity (PA) are associated with arterial stiffness in individuals without metabolic syndrome (MetS). cross-sectional comprised 197 (47±13 years; 58% female) from a primary health care centre. Arterial was assessed using carotid-femoral pulse wave velocity (cfPWV). Metabolic determined as clustering of at least 3 out 5 risk factors (central obesity, hypertension, impaired glucose, triglycerides high-density...
Optical analog experiments have captured a lot of interest in recent years by offering strategy to test theoretical models and concepts that would be otherwise untestable. The approach relies on the similarity between mathematical model for light propagation nonlinear optical media mimicked. In particular, analogy quantum fluid with superfluidlike properties has been studied extensively. Still, while most these studies use thermo-optical perform experiments, possibility using nematic liquid...
Extreme Learning Machines (ELMs) are a versatile Machine (ML) algorithm that features as the main advantage possibility of seamless implementation with physical systems. Yet, despite success implementations ELMs, there is still lack fundamental understanding in regard to their optical implementations. In this context, work makes use an complex media and wavefront shaping techniques implement ELM playground gain deeper insight into these machines. particular, we present experimental evidences...
The generalized Schrödinger-Newton system of equations with both local and nonlocal nonlinearities is widely used to describe light propagating in nonlinear media under the paraxial approximation. However, its use not limited optical systems can be found a plethora different physical phenomena, for example, dark matter or alternative theories gravity. Thus, numerical solvers developed studying this model adapted address these other phenomena. Indeed, work we report development solver HiLight...
Extreme learning machines explore nonlinear random projections to perform computing tasks on high-dimensional output spaces. Since training only occurs at the layer, approach has potential speed up process and capacity turn any physical system into a platform. Yet, requiring strong dynamics, optical solutions operating fast processing rates low power can be hard achieve with conventional materials. In this context, manuscript explores possibility of using atomic gases in near-resonant...
Paraxial fluids of light have recently emerged as promising analog physical simulators quantum using laser propagation inside nonlinear optical media. In particular, recent works explored the versatility such systems for observation two-dimensional quantum-like turbulence regimes, dominated by quantized vortex formation and interaction that results in distinctive kinetic energy power laws inverse cascades. this manuscript, we explore a regime to Kelvin-Helmholtz instability examine further...
Laser-induced breakdown spectroscopy (LIBS) imaging has now a well-established position in the subject of spectral imaging, leveraging multi-element detection capabilities and fast acquisition rates to support applications both at academic technological levels. In current applications, standard processing pipeline explore LIBS data sets revolves around identifying an element that is suspected exist within sample generating maps based on its characteristic emission lines. Such approach...
The ability to select, isolate, and manipulate micron-sized particles or small clusters has made optical tweezers one of the emergent tools for modern biotechnology. In conventional setups, classification trapped specimen is usually achieved through acquired image, scattered signal, additional information such as Raman spectroscopy. this work, we propose a solution that uses temporal data signal from scattering process trapping laser, with quadrant photodetector. Our methodology rests on...
Abstract The propagation of light in nonlinear optical media has been widely used as a tabletop platform for emulating quantum-like phenomena due to their similar theoretical description quantum fluids. These fluids are often study two-dimensional involving superfluid-like flows, yet turbulent regimes still remain underexplored. In this work, we the possibility creating and probing signatures kinetic energy spectrum. To that end, emulate disturb fluid with an all-optical defect using two...
Anode-less batteries are a promising innovation in energy storage technology, eliminating the need for traditional anodes and offering potential improvements efficiency capacity. Here, we have fabricated tested two types of anode-less pouch cells, first using solely copper negative current collector other same but coated with nucleation seed ZnO layer. Both cells used all-solid-state electrolyte, Li2.99Ba0.005ClO composite, cellulose matrix LiFePO4 cathode. Direct indirect methods confirmed...
Evaluating the efficiency of surface treatments is a problem paramount importance for cork stopper industry. Generically, these create coatings that aim to enhance impermeability and lubrification stoppers. Yet, current methods analysis are typically time-consuming, destructive, have poor representativity or rely on indirect approaches. In this work, use laser-induced breakdown spectroscopy (LIBS) imaging solution explored evaluating presence coating along cylindrical in depth. To test it,...
Abstract Optical tweezers are an interesting tool to enable single cell analysis, especially when coupled with optical sensing and advanced computational methods. Nevertheless, such approaches still hindered by system operation variability, reduced amount of data, resulting in performance degradation addressing new data sets. In this manuscript, we describe the deployment automatic intelligent setup, capable trapping, manipulating, analyzing physical properties individual microscopic...
Xanthones are a class of heterocyclic compounds characterized by dibenzo-γ-pyrone nucleus. Analysis their mode action in cells, namely uncovering alterations gene expression, is important because these have potential therapeutic applications. Thus, we studied the transcriptional response filamentous fungus Neurospora crassa to group synthetic (thio)xanthone derivatives with antitumor activity using high throughput RNA sequencing. The induction ABC transporters N. crassa, particularly atrb...