Abstract: The use of computational modeling has been gaining relevance as a way to reduce cost, time and resources in the innovation process of the battery industry. There are many types of models with varying complexity and scale. However, what
Abstract: Silicon solar cells have dominated the science and market for solar cells. Their efficiency was boosted after the passivation of their surface and minimised charge losses at the interface, allowing better contacts to extract the photoelectrical current. In molecular solar
The PhD defence will take place in the “Padre Soler” Building (Leganés Campus) of the Carlos III University of Leganes (UC3M) The dissertation is titled «Developing new high entropy alloys for high temperature applications using advanced powder metallurgy routes and
Abstract: Next-generation energy and sustainability technologies, such as solid-state batteries, fuel cells and thermoelectrics, require a fundamental understanding of thermal, electronic and ionic transport of the constituent materials to realize successful devices. Although the transport of heat, electrons and ions
Abstract: The cement industry accounts for around 8% of anthropogenic carbon dioxide emissions today, while industries like copper and aluminum produce slags (residues) in the range of 100 million tons (approx.) annually. Do we have a possible synergy? Our group
Abstract: Resin Transfer Moulding (RTM) is a cost-competitive manufacturing process for carbon fibre-reinforced polymer (CFRP) composites, used for structural applications that require lightweight design because of their enhanced properties. However, internal cavities and porosities appear at the injection stage due
Abstract: Magnesium alloys, known for their low density and high strength-to-weight ratio, are increasingly important in the aerospace and automotive industries. Understanding the static recrystallisation (SRX) behaviour of these alloys is crucial for optimizing their mechanical properties and manufacturability. This
Abstract: High-performance fiber-reinforced polymer composite have been increasingly used as personnel protection system owning to their high strength and/ or stiffness to weight ratio and good damage tolerance. Amongst, ultra-high molecular weight polyethylene (UHMWPE) fiber/ thermoplastic polyurethane (TPU), and aramid
Abstract: Electrochemical energy storage technologies have been brought into the spotlight as they provide elegant and efficient approaches to store, transport, and deliver energy harvested from sustainable energy resources.[1-2] The demand for power and energy supply is equally imperative in
Abstract: Mg-alloys are becoming increasingly important based on the technological advantages given their low density compared to current structural metals such as Al- and Fe-based alloys. However, unlike their fcc and bcc counterparts, little has been done to investigate the
The PhD will take place on june 25th, 2024, at 11:30 am in salón de grados – padre soler building (leganés campus) of uc3m
Abstract: By utilizing innovative polymerization techniques involving zero-valent metals and UV light, we have developed radical polymerizations that exhibit low dispersity, high monomer conversion rates, exceptional oxygen tolerance, and minimal catalyst content. These advancements are crucial for streamlining production processes,
Abstract: Recent advances in multifunctional materials are revolutionizing various fields, such as biomedicine, soft robotics and smart sensors. The ability to model and predict the behavior of these materials in different physical interactions is crucial. In this regard, multiphysics modeling
Abstract: Electrochemical energy storage systems with high energy density, safety, affordability, and a low carbon footprint are essential in today’s world of widespread electronics, electric vehicles, and grid storage. Li-ion batteries have become the leading rechargeable battery technology, surpassing others
Abstract: Professor Sudesh Sivarasu leads the University of Cape Town (UCT) MedTech laboratory. Prof Sivarasu is one of the best known in the field of medical device innovation both nationally and internationally. He has been named a prolific inventor by
Abstract: Predictive machine learning (ML) tools can accelerate the discovery of new materials and enable semi or fully autonomous research. In addition, ML tools are playing an increasingly central role in physics-based simulations, enabling a combination of accuracy and computational
Abstract: To this end, full-field mesoscale computational modeling of statistical volume elements and calibration and validation experiments provide a pathway for establishing microstructure-property relationships in additively manufactured parts. However, the fidelity of these relationships is sensitive to the microstructure representation
Abstract: Often the society thinks researchers can do almost everything they want. They imagine that we can convert immediately all our ideas into experiments, even the silliest and strangest ones, without telling anyone or asking permission. And this far from