Internships at INMA

Topic: This project will focus on the development of polymeric precursors and their structuring using advanced additive manufacturing techniques available in the Advanced Manufacturing Laboratory, for the generation of biomimetic structures that can emulate different aspects of living tissues in the search for in vitro models that serve as platforms to accelerate biomedical research. In this project the student will become familiar with additive manufacturing techniques for the fabrication of vascular structures in polymeric hydrogels. In particular, they will acquire training in the technique of stereolithography with ultraviolet light (SLA), covering the generation of CAD files, the preparation of photopolymerisable formulations that result in hydrogels suitable for manufacture with this technique, 3D printing and the post-processing of the materials to obtain the final biomimetic structures sought. The student will also become familiar with the structural characterisation of these systems by means of optical and electron microscopy, as well as the mechanical characterisation of the resulting materials.
Supervisor: Carlos Sánchez Somolinos.
Group: Advanced Manufacturing Laboratory (AML)Advanced Manufacturing Laboratory (AML)
Student: Fernando Melero García
Type of internships: Programa PI2

Topic: The fabrication and characterisation of thin films on metallic or carbon-based electrodes using bottom-up techniques (Langmuir-Blodgett,SA, or electrografting) for incorporation into molecular electronic devices will be carried out.)
Supervisor: Santiago Martín Solans.
Group: Ensamblaje de Materiales y Modificación de Superficies (ENMA)
Student: Alejandro Gómez González
Type of internships: Programa PI2

Topic: The student will learn to use high-power pulsed lasers for the processing of materials and will use electronic and confocal microscopy as characterisation techniques. With these laser systems, they will carry out treatments on common surfaces in aerogeneration and aeronautics where the formation of ice is important due to the loss of energy efficiency that it generates.
Supervisor: Luis Angurel Lambán.
Group: Láser, Energía y Materiales Avanzados (LEMA)
Student: Javier Frechilla
Type of internships: Programa PI2

Topic: Surface treatments on materials of biomedical interest using pulsed infrared laser. Structural (X-ray diffraction), microstructural (scanning electron microscopy), mechanical (hardness, wear), corrosion resistance, surface wettability (contact angle) and biocompatibility characterisation.
Supervisors: Miguel Castro Corella & José Ángel Pardo Gracia
Group: Multifunctional Molecular Magnetic Materials (M4)
Student: Alberto García
Type of internships: Programa PI2

Topic: Development and characterisation of highly efficient and stable perovskite-based photovoltaic devices. During the project, the manufacturing process of the solar cells will be optimised under ambient conditions and a complete composition-properties analysis of both the individual layers and the final devices will be carried out..
Supervisors: María Bernechea Navarro & Emilio Juárez Pérez
Group: Películas y Partículas Nanoestructuradas (NFP)
Student: not designated 
Type of internships: Programa PI2

Topic: Porous oxides derived from eutectic melts. Investigation of their microstructure, ionic conduction, thermal and chemical stability in contact with molten carbonates. The student will study previous related literature; solidify the materials; perform experiments (conductivity, phases, microstructure, evolution); and evaluate the suitability of the materials as CO2 membranes.
Supervisor: Rosa I. Merino Rubio
Group: Procesado y Caracterización de Cerámicas Estructurales y Funcionales (ProCaCef)
Student: sin asignar
Type of internships: Programa PI2

Topic: Microbiologically influenced corrosion (MIC) has serious adverse effects on materials. Sulphate-reducing micro-organisms and microbiologically influenced corrosion induced by methanogens are serious problems in the oil industry and other sectors. Recently, molybdates have been shown to control microbial acidification. In this TFM, the student will synthesise a series of polyoxomolybdates and evaluate their ability to inhibit anaerobic bacterial growth and prevent microbially influenced corrosion. This research is linked to the COST Action “EuroMIC” and has been developed in collaboration with Dr Andrea Koerdt at the Federal Institute for Research and Testing of Matrials (BAM, Berlin). Antimicrobial polyoxomolybdate coatings will be studied on multi-port flow columns developed at BAM using a combination of analytical methods (ToFSIMS/ SEM-EDS/SEM-FIB/TEM/XPS/etc.).
Supervisor: Scott G. Mitchell
Group: Biofuncionalización de Nanopartículas y Superficies (BIONANOSURF)
Student: Mariella Malefioudaki
Type of internships: Programa PI2

Topic: The student will become familiar with the basic techniques of quantum optics, master equations, light-matter systems, phase space methods, polaron transform, etc. Their project will deal with the interaction of discrete quantum systems at waveguides with emphasis on non-Markovian dynamics. Various coupling regimes will also be explored. For this, the student will develop numerical codes based on Python and develop the theoretical analysis to understand the results.
Supervisor: David Zueco Láinez
Group: Quantum Materials and Devices (Q-MAD)
Student: not designated
Type of internships: Programa PI2

Topic: A relatively little known and recently developed facet is the use of AI to solve mathematical problems. The last includes Physics-Informed Neural Networks (PINNs), Deep Operator Networks (DeepONet) and Fourier Neural Operator Networks (FNON), among others. In the Institute of Nanoscience and Materials of Aragón (INMA), which is a joint Institute between CSIC and the University of Zaragoza, we initiated several works in the use of these techniques to solve simple differential equations. Our aim here is to extend the possible applications of these techniques to physics and go into their mathematical basis.
Supervisors: Sergio Gutiérrez Rodrigo & Luis Martín Moreno
Group: Quantum Materials and Devices (Q-MAD)
Studen: Javier Colominas Villalba
Type of internships: JAE Intro ICU

Tope: A relatively little known and recently developed facet is the use of AI to solve Partial Differential Equations (PDE) by means of Physics-Informed Neural Networks (PINNs). This type of neural networks allows solving all types of differential equations, Our aim here is to continue this work going further simple differential equations, trying to solve the PDEs appearing in the problems our group is currently involved in the area of Nanophotonics, whether ordinary or partial, with one or several variables, single equations or systems of equations.
Supervisors: Sergio Gutiérrez Rodrigo & Luis Martín Moreno
Group: Quantum Materials and Devices (Q-MAD)
Student: Luis Medrano Navarro
Type of internships: JAE Intro ICU

Topic: A relatively little known and recently developed facet is the use of AI as a means to surrogate a Mathematical Operator. The technique relies on the Universal Operator Approximation Theorem, which states that a neural network with a simple hidden layer can accurately approximate any nonlinear continuous operator. This theorem suggests the use of deep networks in learning continuous operators from data. In the Institute of Nanoscience and Materials of Aragón (INMA), which a joint Institute between CSIC and the University of Zaragoza, we initiated the study of mathematical operators to solve simple differential equations, in the context of a Final Degree Project. Our aim here is to continue this work going further simple differential equations, trying to solve the PDEs appearing in the problems our group is currently involved in the area of Nanophotonics.
Supervisors: Sergio Gutiérrez Rodrigo & Luis Martín Moreno
Group: Quantum Materials and Devices (Q-MAD)
Student: Javier Pardos Cardiel
Type of internships: JAE Intro ICU