information-guided technologies are developed as a consequence of our scientific hunger (the era of big data). For example, in high throughput technologies for synthesis and characterization of nanostructured materials, or in massive information acquired from a huge array of sensors, the obtained data is enormous. The IAM-NANO group attempts to automate laboratory equipment with the aid of robots for synthesis and characterization as well as to develop artificial intelligence tools for data extraction and data analysis. the initial projects in which the group will focus are: (i) libraries of materials that contain at least three principal constitutive elements (high entropy materials or complex concentrated alloys) via high throughput. (ii) processing data from automated facilities with the aid of artificial intelligence (huge array of sensors in the lab, that can be extended to agriculture or factories). (iii) efforts to develop advanced materials for energy harvesting and storing.

• NUEVOS MATERIALES Y NANOMATERIALES
• INTELIGENCIA ARTIFICIAL
• AUTOMATIZACIÓN
• ENERGÍA SOLAR FOTOVOLTAICA UTILIZANDO NANOTECNOLOGÍA

Typically, a researcher invest most of the time performing repetitive tasks in the laboratory e.g. synthesis and characterization. Our approach is to overcome this routine by performing automation of equipment for the synthesis and characterization of materials. The IAM-NANO group focuses on the production of material libraries for material systems containing three or more elements, the development of such complex materials is encouraged by their huge range of applications, for instance in batteries or in energy harvesting. However, automated equipment will generate massive amount of data that can not be analyze by a single person. One of the most important fields nowadays is how to analyze big amounts of data and what to do with them. Therefore, we implement artificial intelligence tools for data extraction and data analysis. To impact the region that is directly influenced by the university, the IAM-NANO encourages the use of automation for agriculture. In this case, the mechatronic engineering students develop automation and sensing devices, which generate significant amounts of data that are collected and analyzed using artificial intelligence methods. Thus, we contribute to agriculture precision development and provide a scientific-educated feedback model.

automation of equipment for high throughput synthesis and characterization artificial intelligence for data extraction and analysis of high throughput methods as well as for huge arrays of sensors. production of materials libraries and data visualization. focus on nanomaterials for energy storing and harvesting.

our group is supported by the huge efforts consolidated with Colombian and international scientists, which provide essential tools for the synthesis and characterization of nanostructured materials. Furthermore, involving mechatronic engineers in the process will facilitate the development of automation and artificial intelligence tools. Due to the geographical location of the university (located in la Paz, Cesar, Colombia) it is possible to focus on energy harvesting and storing materials, as well as to implement our artificial intelligence tools to enhance the development of agriculture precision in the Caribbean region.

Generación de materiales para aplicaciones en la producción y uso de hidrogeno como fuente de energía

APROVECHAMIENTO DE RESIDUOS DEL CAFÉ EN EL DESARROLLO DE LÍQUIDOS IÓNICOS BASE CAFEÍNA PARA LA DESULFURACIÓN DE COMBUSTIBLES

Diseño y prototipado para la conversión de un vehículo con motor de combustión a un vehículo eléctrico de tres ruedas

• In Situ Observation of Disconnection-Mediated Grain Rotation (Artículo corto)
• Determining role of individual cations in high entropy oxides: Structure and reversible tuning of optical properties (Artículo corto)
• High-Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next-Generation Synthesis and Applications (Artículos sometidos a revisión en revista indexada.)
• Disconnection-mediated Twin/Twin-junction migration in FCC metals (Artículos sometidos a revisión en revista indexada.)
• Synthesis and Characterization of High‐Entropy CrMoNbTaVW Thin Films Using High‐Throughput Methods (Artículos sometidos a revisión en revista indexada.)
• A high entropy oxide as high-activity electrocatalyst for water oxidation (Artículos sometidos a revisión en revista indexada.)
• Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries (Artículos sometidos a revisión en revista indexada.)
• Comprehensive investigation of crystallographic, spin-electronic and magnetic structure of : Unraveling the suppression of configuration entropy in high entropy oxides (Artículos sometidos a revisión en revista indexada.)
• A new class of cluster‐matrix nanocomposite Made of fully miscible components (Artículos sometidos a revisión en revista indexada.)
• Producción masiva de óxidos multicomponentes de alta entropía con enfoque en el estudio de vacancias de oxígeno (Tesis de maestría)