A5021100676- Magnetic and transport properties of perovskites and related materials
- Iron oxide chemistry and applications
- Advanced Memory and Neural Computing
- GaN-based semiconductor devices and materials
- ZnO doping and properties
- Multiferroics and related materials
- Rare-earth and actinide compounds
- Thermal Expansion and Ionic Conductivity
- Shape Memory Alloy Transformations
- nanoparticles nucleation surface interactions
- Semiconductor materials and devices
- Ga2O3 and related materials
- Theoretical and Computational Physics
- Advanced Neural Network Applications
- Characterization and Applications of Magnetic Nanoparticles
- Nanowire Synthesis and Applications
- Advanced Condensed Matter Physics
- Nanoparticle-Based Drug Delivery
- Handwritten Text Recognition Techniques
- Magnetic Properties and Synthesis of Ferrites
- Vehicle License Plate Recognition
- Electronic and Structural Properties of Oxides
- Magnetic Properties of Alloys
- Tribology and Lubrication Engineering
- Ferroelectric and Piezoelectric Materials
Universitat Autònoma de Barcelona
2022-2025
Qingdao University
2025
Affiliated Hospital of Qingdao University
2025
China University of Geosciences
2024-2025
University of Electronic Science and Technology of China
2006-2022
Institut de Ciència de Materials de Barcelona
2017-2022
University of Duisburg-Essen
2016-2018
Ernst Ruska Centre
2018
Consejo Superior de Investigaciones Científicas
2017
Northeastern University
2013-2015
The ability for artificially reproducing human brain type signals' processing is one of the main challenges in modern information technology, being milestones developing global communicating networks and artificial intelligence. Electronic devices termed memristors have been proposed as effective synapses able to emulate plasticity biological counterparts. Here we report first time a single crystalline nanowire based model system capable combining all memristive functions - non-volatile...
High-quality, 25 nm octahedral-shaped Fe
Abstract Advanced synaptic devices with simultaneous memory and processor capabilities are envisaged as core elements of neuromorphic computing (NC) for low‐power artificial intelligence. So far, most based on resistive memories, where the device resistance is tuned applied voltage or current. However, use electric current in such causes significant power dissipation due to Joule heating. Higher energy efficiency has been reported materials exhibiting control magnetism (VCM). In particular,...
Abstract Magneto‐ionics relies on the voltage‐driven transport of ions to modify magnetic properties. As a diffusion‐controlled mechanism, defects play central role in determining ion motion and, hence, magneto‐ionic response. Here, potential implantation is exploited engineer depth‐resolved defect type and density with aim control behavior Co 3 O 4 thin films. It demonstrated that through single process light (He + ) at 5 keV, response nanostructured 50 nm thick film, terms rate amount...
Abstract We study the influence of disorder on Moore-Read state by principal component analysis (PCA), which is one ground candidates for 5/2 fractional Hall state. By using PCA, topological features wave functions with different strengths can be distillated. And as strength increases, will destroyed. explore phase transition analyzing overlaps between random sample and topologically distilled The cross-point amplitudes its counterpart point. Additionally, origin second comes from excited...
Rapid progress in information technologies has spurred the need for innovative memory concepts, which advanced data-processing methods and tailor-made materials are required. Here we introduce a previously unexplored nanoscale magnetic object: an analog vortex controlled by electric-field-induced ion motion, termed magneto-ionic or "vortion". This state arises from paramagnetic FeCoN through voltage gating gradual N3– extraction within patterned nanodots. Unlike traditional states, vortions...
Abstract Voltage‐driven ion motion offers a powerful means to modulate magnetism and spin phenomena in solids, process known as magneto‐ionics, which holds great promise for developing energy‐efficient next‐generation micro‐ nano‐electronic devices. Synthetic antiferromagnets (SAFs), consisting of two ferromagnetic layers coupled antiferromagnetically via thin non‐magnetic spacer, offer advantages such enhanced thermal stability, robustness against external magnetic fields, reduced...
Two sorts of Gd-Co-Al ternary alloys multi-phase structure with table-like magnetocaloric effect (MCE) suitable for the ideal Ericsson cycle have been developed. One is prepared by arc-melting Gd53Co19Al28 resulting alloy composed Gd2Al, Gd2Co2Al, and GdCo0.74Al1.26 crystalline phases other synthesized suck-casting Gd52.5Co16Al31 which has a glassy Gd2Al Gd2Co2Al. Metamagnetic transition antiferromagnetic phase near 50 K ferromagnetic transitions GdCo0.74Al1.26, 80 result in occurring...
Laser ablation in liquids (LAL) has emerged as a versatile approach for the synthesis of alloy particles and oxide nanomaterials. However, complex chemical reactions often take place during due to inevitable atomization ionization target materials decomposition/hydrolysis solvent/solution molecules, making it difficult understand particle formation mechanisms. In this paper, possible route FeMn nanoparticles well MnOx nanoparticles, -sheets, -fibers by LAL is presented. The observed...
Production of functionalized nanoparticles for magnetic hyperthermia by an industrial-scale process.
Modulation of magnetic properties through voltage-driven ion motion and redox processes, i.e., magneto-ionics, is a unique approach to control magnetism with electric field for low-power memory spintronic applications. So far, magneto-ionics has been achieved direct electrical connections the actuated material. Here we evidence that an alternative way reach such exists in wireless manner. Induced polarization conducting material immersed electrolyte, without wire contact, promotes bipolar...
In a vehicle license plate identification system, region detection is the key step before final recognition. This paper presents algorithm from complex background based on histogramming and mathematical morphology. The proposed consists of two main modules: region's rough exactly location. former characterized by vertical gradients extracts candidate regions an input image, while latter conceptualized in terms morphology aims to locate fast accurately. Experiments have been conducted for...
Compound semiconducting nanowires are promising building blocks for several nanoelectronic devices yet the inability to reliably control their growth morphology is a major challenge. Here, we report Au-catalyzed vapor–liquid–solid (VLS) of GaN with controlled direction, surface polarity and roughness. We develop theoretical model that relates form kinetic frustration induced by variations in V(N)/III(Ga) ratio across growing nanowire front. The predictions validated trends as-grown...
Magneto-ionics refers to the control of magnetic properties materials through voltage-driven ion motion. To generate effective electric fields, either solid or liquid electrolytes are utilized, which also serve as reservoirs. Thin have difficulties in (i) withstanding high fields without pinholes and (ii) maintaining stable transport during long-term actuation. In turn, use can result poor cyclability, thus limiting their applicability. Here we propose a nanoscale-engineered magneto-ionic...
Optical means instead of electric fields may offer a new pathway for low-power and wireless control magnetism, holding great potential to design next-generation memory spintronic devices. Artificial multiferroic materials have shown remarkable suitability as platforms towards the optical magnetic properties. However, practical use modulation should be both stable reversible and, particularly, it occur at room temperature. Here we show an unprecedented magnetism using low-intensity visible-light in Fe
Magneto-ionic gating, a procedure that enables the modulation of materials' magnetic properties by voltage-driven ion motion, offers alternative perspectives for emerging low-power storage and spintronic applications. Most previous studies in all-solid-state magneto-ionic systems have focused on control interfacial magnetism ultrathin (i.e., 1–3 nm) films, taking advantage an adjacent ionic conducting oxide, usually GdOx or HfOx, transports functional species (e.g., H+ O2−). Here, we report...
Object detection is a fundamental task in computer vision. Recently, deep-learning-based object has made significant progress. However, due to large variations target scale, the predominance of small targets, and complex backgrounds remote sensing imagery, still faces challenges, including low accuracy, poor real-time performance, high missed rates, false rates practical applications. To enhance this study proposes new model, transformer (RS-DETR). First, we incorporate cascaded group...
We have investigated the stability and solidification of nanometer size Au-Si droplets using an ultrafast heating/cooling nanocalorimetry in situ growth techniques. The liquid can be supercooled to very low temperatures for both Au-rich (ΔT ∼ 95 K) Si-rich 220 samples. Solidification a unique metastable phase δ1 is observed with composition 74 ± 4 at. % Au b-centered orthorhombic structure (a = 0.92, b 0.72, c 1.35 nm; body-center a-c plane), which grows heteroepitaxially Aus. Its melting...
In order to obtain “table-like” magnetocaloric effect (MCE), multiple-phase Gd56Ni15Al27Zr2 alloy was prepared by arc-melting followed suck-casting method. Powder x-ray diffraction and calorimetric measurements reveal that the sample contains both glassy crystalline phases. The fraction of phase is about 62%, estimated from heat enthalpy crystallization. phases, Gd2Al GdNiAl further broadened relatively wider magnetic entropy change (−ΔSM) peak amorphous phase, which resulted in table-like...