Boron oxide with a content of 99.93 wt.% from the dehydration of boric acid was synthesized. Conversion of boric acid to boron oxide was completed within 3 days at low temperature range (T < 130 °C) and approximately 30 min at high temperature range (T > 130 °C) for the isothermal dehydration reaction in the temperature range of 80 and 350 °C. Apparent activation energies were 65 and 28 kJ•mol −1 for low and high temperature ranges, respectively. Thermogravimetric analysis (TGA) results showed that the reactions were nearly completed at around 330 °C, and activation energy for the first temperature region was found to be two-thirds of the isothermal value and the same for the second temperature region. Isothermal data analysis revealed that the apparent reaction order value was around 1.0 at low temperature range and decreased to 0.55 with temperature within the high temperature range.

Vanadium oxide/poly (3,4‐ ethylenedioxythiophene)(V2O5‐PEDOT) hybrid materials were prepared in a rotating quartz plasma reactor via capacitively coupled radio frequency (RF 13.56 MHz) plasma. Thin films of V2O5‐PEDOT hybrid and V2O5 were obtained by electron beam evaporation technique onto flexible PET substrate for electrochromic devices (ECDs) applications. As a counter electrode, both RF magnetron sputtered MoO3 onto ITO coated PET and only ITO coated PET electrodes were used. Characterizations of the films were carried out via using scanning electron microscopy‐energy dispersive X‐ray spectroscopy (SEM‐EDX) and X‐ray diffraction (XRD). Hybrid ECDs results showed that synergistic effect depending on improved stability between V2O5 and PEDOT. As a result, we developed all solid complementary electrochromic devices including V2O5, V2O5‐PEDOT and MoO3 films. The electrochromic device characteristics such as electrochromic contrast, coloration efficiency, switching time were calculated from optical and electrochemical measurements. The highest coloration efficiency and optical contrast were obtained as 53 cm2/C and 17 % for V2O5‐PEDOT/MoO3‐based ECD.

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Conductive textiles with exceptional electrical properties have been prepared by coating the conjugated polymer, poly(3,4-ethylenedioxyphiophene)-polystyrenesulfonate(PEDOT-PSS), on polyethylene terephthalate (PET) nonwoven fabrics. Phase segregation from covalent bond formation to surface silica particles generates PEDOT-PSS coated textiles that hold potential for wearable electronics due to the breathability of the fabric, low toxicity, easy processing and lightweight with high current carrying capacity. The conductive textiles were demonstrated for applications such as electrical connections and resistive heating.

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Tungsten trioxide‐poly(3,4‐ethylenedioxythiophene) (WO3‐PEDOT) and tungsten trioxide‐polyfuran (WO3‐PFu) were prepared by rf rotating plasma polymerization. Electrochromic hybrid thin films were fabricated onto flexible polyethylene terephthalate (PET)/ indium tin oxide (ITO) film using electron beam evaporation method. In order to deeply characterize all films, scanning electron microscopy‐energy dispersive X‐ray spectroscopy (SEM‐EDS) and electrochemical impedance spectroscopy (EIS) techniques were used. The counter electrode effect on plasma modified WO3 nano hybrids‐based electrochromic devices (ECDs) was evaluated. By incorporating flexible vanadium pentoxide (V2O5) film as counter electrode, complementary ECDs were constructed through combining the hybrid flexible films (WO3‐PEDOT, WO3‐PFu) as working electrodes, which exhibit highly efficient electrochromic performance with low voltage operation. Especially, WO3‐PEDOT/V2O5‐based ECD owns a high optical modulation of 61.5 % at 750 nm driven by −1.0 V (coloration) and +1 V (bleaching) with fast response times (coloration time: 13.58 s, bleaching time: 8.07 s) and a high coloration efficiency of 527 cm2 C−1. This study can supply useful and efficient avenue for designing flexible complementary electrochromic device for energy‐saving flexible electronics.

Perovskites as a semiconductor are of profound interest and arguably, the investigation on the distinctive perovskite composition is paramount to fabricate efficient devices and solar cells.We probed the role of anion and cations and their impact on optoelectronic and photovoltaic properties. We report a machine learning approach to predict the bandgap and power conversion efficiency by employing eight different perovskites compositions. The predicted solar cell parameters validate the experimental data. The adopted Random forest model presented a good match with high R 2 scores of >0.99 and >0.82 for predicted absorption and J-V data sets respectively and showed minimal error rates with precise prediction of bandgap and power conversion efficiencies. Our results suggest that the machine learning technique is an innovative approach to aid the preparation of perovskite and can accelerate the commercial aspects of perovskite solar cells without fabricating working devices and minimizes the fabrication steps and save cost.