Controlled Periodic Illumination Enhances Hydrogen Production by over 50% on Pt/TiO2

[Image: see text] Efficient solar water photosplitting is plagued by large overpotentials of the HER and OER. Even with a noble metal catalyst, the hydrogen evolution reaction can be limited by the strong M–H bonding over some metals, such as Pt, Pd, and Rh, inhibiting hydrogen desorption. H absorption is regulated by the potential at the metal nanoparticles. Through controlled periodic illumination of a Pt/TiO(2) suspension, we hypothesized a fast variation of the photopotential that induced catalytic surface resonance on the metal, resulting in more than a 50% increase of the efficiency at frequencies higher than 80 Hz

The Use of the Go/No-Go Successive Matching-to-Sample Procedure with Nonverbal Auditory Stimuli to Establish Equivalence Classes and Speaker Behavior

The purpose of the current study was to extend the findings on the use of the go/ no-go successive matching-to-sample (S-MTS) procedure to establish auditory equivalence classes. Eight college students learned to conditionally relate nonverbal auditory stimuli into three, 3-member classes. Following training, all participants met the emergence criterion for symmetry, and six out of eight participants met the emergence criterion for transitivity/equivalence. Furthermore, all participants responded with either an experimenter-defined or a unique tact, and five participants related these names intraverbally. Although these results replicate previous findings, albeit with stimuli that cannot be echoed, possible verbal mediation via tact and intraverbal behavior seems to have occurred

Polyethylene glycol as shape and size controller for the hydrothermal synthesis of SrTiO3 cubes and polyhedra

Understanding the correlation between the morphological and functional properties of particulate materials is crucial across all fields of physical and natural sciences. This manuscript reports on the investigation of the effect of polyethylene glycol (PEG) employed as a capping agent in the synthesis of SrTiO3 crystals. The crucial influence of PEG on both the shape and size of the strontium titanate particles is revealed, highlighting the effect on the photocurrents measured under UV–Vis irradiation

Machine learning approach for elucidating and predicting the role of synthesis parameters on the shape and size of TiO2 nanoparticles

open9In the present work a series of design rules are developed in order to tune the morphology of TiO2 nanoparticles through hydrothermal process. Through a careful experimental design, the influence of relevant process parameters on the synthesis outcome are studied, reaching to the develop predictive models by using Machine Learning methods. The models, after the validation and training, are able to predict with high accuracy the synthesis outcome in terms of nanoparticle size, polydispersity and aspect ratio. Furthermore, they are implemented by reverse engineering approach to do the inverse process, i.e. obtain the optimal synthesis parameters given a specific product characteristic. For the first time, it is presented a synthesis method that allows continuous and precise control of NPs morphology with the possibility to tune the aspect ratio over a large range from 1.4 (perfect truncated bipyramids) to 6 (elongated nanoparticles) and the length from 20 to 140 nm.openPellegrino, Francesco; Isopescu, Raluca; Pellutiè, Letizia; Sordello, Fabrizio; Rossi, Andrea M; Ortel, Erik; Martra, Gianmario; Hodoroaba, Vasile-Dan; Maurino, ValterPellegrino, Francesco; Isopescu, Raluca; Pellutiè, Letizia; Sordello, Fabrizio; Rossi, Andrea M; Ortel, Erik; Martra, Gianmario; Hodoroaba, Vasile-Dan; Maurino, Valte