1. ROTATION INVARIANCE OF CRITICAL PLANAR PERCOLATION [<i>after</i> Hugo Duminil-Copin, Karol Kajetan Kozlowski, Dmitry Krachun, Ioan Manolescu and Mendes Oulamara] 

   Tassion, Vincent (2023)

   Astérisque

   Journal Article

2. Experimental Performance Comparison of High-Glide Hydrocarbon and Synthetic Refrigerant Mixtures in a High-Temperature Heat Pump 

   Brendel L.P.M.; Bernal S.N.; Arpagaus C.; et al. (2024)

   Energies

   Several theoretical studies have predicted that refrigerant mixtures with glides of more than 20 K can yield COP improvements in heat pumps for operating conditions where the temperature difference between the heat source and heat sink is large, but experimental validations and quantifications are scarce. The application of high-glide mixtures (>20 K) in industrial heat pumps in the field is, therefore, still hampered by concerns about ...

   Journal Article

3. Automatic Detection of the Running Surface of Railway Tracks Based on Laser Profilometer Data and Supervised Machine Learning 

   Mauz F.; Wigger R.; Gota A.E.; et al. (2024)

   Sensors

   The measurement of the longitudinal rail profile is relevant to the condition monitoring of the rail infrastructure. The running surface is recognizable as a shiny metallic area on top of the rail head. The detection of the running surface is crucial for vehicle-based rail profile measurements, as well as for defect detection. This paper presents a methodology for the automatic detection of the running surface based on a laser profilometer. ...

   Journal Article

4. Convolutional Forecasting of Particulate Matter: Toward a Data-Driven Generalized Model 

   Ferrari L.; Guariso G. (2024)

   Atmosphere

   Air pollution poses a significant threat to human health and ecosystems. Forecasting the concentration of key pollutants like particulate matter can help support air quality planning and prevention measures. Deep learning methods are becoming increasingly popular for predicting air pollution and particulate matter concentration. Architectures like Convolutional Neural Networks can effectively account for the geographical features of the ...

   Journal Article

5. Multiband reflectance and shadowing of the protoplanetary disk RX J1604.3-2130 in scattered light 

   Zhong H.; Ren B.B.; Ma B.; et al. (2024)

   Astronomy & Astrophysics

   Context. A spatially resoved circumstellar disk spectrum and composition can provide valuable insights into the bulk composition of forming planets and into the mineralogical signatures that emerge during and after planet formation. Aims. We systemically extracted the RX J1604.3-213010 (J1604 hereafter) protoplanetary disk in high-contrast imaging observations and obtained its multi-band reflectance in the visible to near-infrared ...

   Journal Article

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