In this work, an AlGaN-based Deep-Ultraviolet Light-Emitting Diode structure has been designed and simulated for the zincblende and wurtzite approaches, where the polarization effect is included. DFT analysis was performed to determine the band gap direct-to-indirect cross-point limit, AlN carrier mobility, and activation energies for p-type dopants. The multiple quantum wells analysis describes the emission in the deep-ultraviolet range without exceeding the direct-to-indirect bandgap cross-point limit of around 77% of Al content. Moreover, the quantum-confined Stark effect on wavefunctions overlapping has been studied, where Al-graded quantum wells reduce it. Both zincblende and wurtzite have improved electrical and optical characteristics by including a thin AlGaN with low Al content. Mg and Be acceptor activation energies have been calculated at 260 meV and 380 meV for Be and Mg acceptor energy, respectively. The device series resistance has been decreased by using Be instead of Mg as the p-type dopant from 3 kΩ to 0.7 kΩ.

In this work, it is presented a unified model to integrate a radiation detector on a single chip using TFTs-based amplifiers, to fabricate a low-cost thermal neutron detector system. The model is based on the current-voltage experimental measurements of the CdS/CdTe detector and CMOS Si-Poly TFTs technology. Parameters obtained by I-V and C-V analysis were introduced into Smart SPICE to design the amplifiers. The output voltage was simulated for a neutron capture event. Three amplification topologies were studied, obtaining an output voltage in the range of 180 to 260 mV with a generated photocurrent pulse around 3.5 lA, which is high enough to be interfaced with a microcontroller. The neutron detector is integrated into TFT amplifiers with a gain of around 50 dB and bandwidth of 4.7 MHz at -3 dB.

Photovoltaic systems for pumping water, based on direct current powered motor pumps, have great application in small rural regions without electrical networks. In addition, these systems provide environmental benefits by replacing fossil fuels. However, these systems reduce their performance due to partial shading, which is magnified by the internal mismatch of the PV modules. This work proposes an intelligent, low-cost, and automatic method to mitigate these effects through the electrical reconfiguration of the PV array. Unlike other reported techniques, this method considers the pump head variations. For that, the global voltage and current supplied by the PV array to the motor pump subsystem are introduced to an artificial neural network and to a third-order equation, which locates the shaded PV module and detects the pump head, respectively. A connection control implements the optimal electrical rearrangement. The selection is based on the identified partial shading pattern and pump head. Finally, the switching matrix modifies the electrical connections between the PV modules on the PV array without changing the interconnection scheme, PV array dimension, or physical location of the PVMs. The proposed approach was implemented in a real PV water pumping system. Low-cost and commercial electronic devices were used. The experimental results show that the output power of the PV array increased by 8.43%, which maintains a more stable level of water extraction and, therefore, a constant flow level.

A solar cell structure with a graded bandgap absorber layer based on InGaN has been proposed to overcome early predicted efficiency. Technological issues such as carrier concentration in the p- and n-type are based on the data available in the literature. The influence of carrier concentration-dependent mobility on the absorber layer has been studied, obtaining considerable improvements in efficiency and photocurrent density. Efficiency over the tandem solar cell theoretical limit has been reached. A current density of 52.95 mA/cm², with an efficiency of over 85%, is determined for a PiN structure with an InGaN step-graded bandgap absorption layer and 65.44% of power conversion efficiency for the same structure considering piezoelectric polarization of fully-strained layers and interfaces with electron and hole surface recombination velocities of 10⁻³ cm/s.

Crisis in coronavirus times requires understanding the effects on society and establishing efficient mechanisms to prevent infections. The disinfection of personal protection equipment by UVC light remains a key opportunity area. Therefore, this letter presents the main drawbacks and challenges on the fabrication of deep ultraviolet LEDs based on III-nitrides, such as the substrate selection, dislocation reduction, the increase of external quantum efficiency, enhancement of the radiative recombination in the active region, the complications to reach high Al content in AlGaN-based UVC LED avoiding the reduction of the p-doping, replacing the p-GaN contact layer by p-AlGaN without hindering the deposition of ohmic contacts. Furthermore, the cubic phase is suggested as a promising candidate for AlGaN UVC-LEDs applications as is discussed in this work.

This work experimentally evaluates the dynamic reproducibility of a thermoelectric atmospheric water generation (AWG) prototype operated under six control strategies. Three independent trials were conducted per strategy, and time-series data of cold-side temperature, hot-side temperature, energy consumption, and coefficient of performance were analyzed. Dynamic Time Warping (DTW) was used to quantify temporal similarity and capture non-linear deviations across repetitions. Results show that energy consumption remains highly reproducible, with average DTW distances below 1.15 Wh in most cases. In contrast, thermal variables exhibit significant dispersion, with DTW values reaching up to 113.53 for the Thermal Lift Coefficient. These findings demonstrate a clear dynamic decoupling between energy stability and thermal response, indicating that stable electrical input does not guarantee consistent thermal behavior. The observed variability is attributed to the intrinsic thermal inertia and non-linear dynamics of the Peltier effect, which amplify minor operational fluctuations. The results highlight the limitations of average performance metrics and emphasize the need for time-resolved analysis and advanced control strategies to ensure reliable operation of thermoelectric AWG systems.