91. Optimization method based on simplex for surface area improved photocatalytic performance of ▫$g-C_3N_4$▫Matevž Roškarič, Janez Zavašnik, Dániel Dániel Zámbó, Tomaž Kotnik, Sebastijan Kovačič, Gregor Žerjav, Albin Pintar, 2023, izvirni znanstveni članek Povzetek: The main objective of the present study was to increase the specific surface area (SBET) of graphitic carbon nitride (g-C3N4) prepared from dicyandiamide by effectively modifying the synthesis procedure using the Simplex optimization method. A remarkable increase in SBET was achieved in only a few steps, with the highest value of 86 m2/g. Compared to the reference material, the improved photocatalyst exhibited enhanced and unique structural, textural, optical, and electronic properties, reflected in the improved ability of the photocatalyst to degrade a variety of organic pollutants dissolved in water. By performing scavenger and spin-trapping experiments, it was confirmed that the major reactive oxygen species formed under visible-light illumination of the enhanced photocatalyst were singlet oxygen (1O2) and superoxide anion radicals (O2–•) with a purposed formation mechanism. The enhanced formation of 1O2 enabled high activity and stability of the optimized materials as well as selective response to degradation of the pharmaceutical compounds studied. By using the simple and fast Simplex optimization algorithm to determine new synthesis parameters, we obtained an improved g-C3N4 that completely degrades bisphenol A under the conditions studied.
Objavljeno v DiRROS: 08.11.2023; Ogledov: 246; Prenosov: 136
 Celotno besedilo (3,78 MB)
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92. Impact of dye encapsulation in ZIF-8 on ▫$CO_2$▫, water, and wet ▫$CO_2$▫ sorptionAljaž Škrjanc, Mojca Opresnik, Matej Gabrijelčič, Andraž Šuligoj, Gregor Mali, Nataša Zabukovec Logar, 2023, izvirni znanstveni članek Objavljeno v DiRROS: 06.11.2023; Ogledov: 223; Prenosov: 139
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94. Models for forecasting the traffic flow within the city of LjubljanaGašper Petelin, Rok Hribar, Gregor Papa, 2023, izvirni znanstveni članek Povzetek: Efficient traffic management is essential in modern urban areas. The development of intelligent traffic flow prediction systems can help to reduce travel times and maximize road capacity utilization. However, accurately modeling complex spatiotemporal dependencies can be a difficult task, especially when real-time data collection is not possible. This study aims to tackle this challenge by proposing a solution that incorporates extensive feature engineering to combine historical traffic patterns with covariates such as weather data and public holidays. The proposed approach is assessed using a new real-world data set of traffic patterns collected in Ljubljana, Slovenia. The constructed models are evaluated for their accuracy and hyperparameter sensitivity, providing insights into their performance. By providing practical solutions for real-world scenarios, the proposed approach offers an effective means to improve traffic flow prediction without relying on real-time data.
Ključne besede: traffic modeling, time-series forecasting, traffic-count data set, machine learning, model comparison
Objavljeno v DiRROS: 28.09.2023; Ogledov: 341; Prenosov: 144
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98. Single-layer and double-layer filtration materials based on polyvinylidene fluoride-co-hexafluoropropylene nanofibers coated on melamine microfibersTilen Potisk, Maja Remškar, Luka Pirker, Gregor Filipič, Igor Mihelič, Marjan Ješelnik, Urban Čoko, Miha Ravnik, 2023, izvirni znanstveni članek Ključne besede: nanofibers, aerosols, filtration
Objavljeno v DiRROS: 15.09.2023; Ogledov: 271; Prenosov: 151
Celotno besedilo (2,07 MB)
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