theory and modeling
Recently Published Documents


TOTAL DOCUMENTS

300
(FIVE YEARS 38)

H-INDEX

38
(FIVE YEARS 3)

Heliyon ◽  
2022 ◽  
pp. e08776
Author(s):  
Hakim Saibi ◽  
Nacir Tit ◽  
Mohamed Abdel Zaher ◽  
Jean d’Amour Uwiduhaye ◽  
Mohamed Amrouche ◽  
...  

mSystems ◽  
2021 ◽  
Author(s):  
Lindsay I. Putman ◽  
Mary C. Sabuda ◽  
William J. Brazelton ◽  
Michael D. Kubo ◽  
Tori M. Hoehler ◽  
...  

Microbial communities existing under extreme or stressful conditions have long been thought to be structured primarily by deterministic processes. The application of macroecology theory and modeling to microbial communities in recent years has spurred assessment of assembly processes in microbial communities, revealing that both stochastic and deterministic processes are at play to different extents within natural environments.


2021 ◽  
Vol 1 (9) ◽  
pp. 096001
Author(s):  
Jie Li ◽  
Martin Siderius ◽  
Peter Gerstoft ◽  
Jun Fan ◽  
Lanfranco Muzi

2021 ◽  
Vol 231 (2) ◽  
pp. 508-511
Author(s):  
Stephanie N. Kivlin ◽  
Christine V. Hawkes ◽  
Monica Papeş ◽  
Kathleen K. Treseder ◽  
Colin Averill

2021 ◽  
Vol 6 (1) ◽  
pp. 37
Author(s):  
Julius Harms ◽  
Thorsten A. Kern

While transformer-type conductivity sensors are the usual type of inductive sensors, this paper describes the theory behind less used eddy current sensors. This type of sensor measures the conductivity of a liquid by inducing eddy currents and observing the effect on the sensor coil, which allows a simpler sensor design and promises a cost advantage in implementation. A novel model description is derived from the Maxwell equations and implemented by an equivalent RLC circuit. The designed model is validated by comparisons with experimental observations and FEM simulations. The result leads to a better understanding of the physical effects of the sensor and the influencing parameters for future sensor developments. The aim is to provide starting points for further sensor development of low-cost inductive conductivity sensors.


2021 ◽  
Author(s):  
Francesco Comola ◽  
Jasper Kok ◽  
Juan Lora ◽  
Kaylie Cohanim ◽  
Xinting Yu ◽  
...  

Abstract Titan, the largest moon of Saturn, is characterized by gigantic linear dunes and an active dust cycle. Much like on Earth, these and other aeolian processes are caused by the wind-driven mobilization of surface grains, known as saltation. To date, very little is known about the conditions that allow for the occurrence of saltation on Titan. In fact, Titan saltation may be fundamentally different from Earth saltation given the denser atmosphere, the lower gravity, and the cohesion of its surface grains. Here, we draw on experiments, theory, and modeling to progress towards a comprehensive understanding of saltation on Titan. We find that aerodynamic lifting of surface grains requires strong wind speeds due to the high cohesion of the grains. However, saltation may be sustained through granular splash at wind speeds much smaller than those required to initiate grain motion. This suggests that most saltation transport on Titan is intermittent rather than continuous. We account for these insights by proposing a saltation mass flux parameterization specific for Titan conditions that accounts for transport intermittency, and use it to quantify yearly sediment transport with a general circulation model. The results show that Titan's prevailing atmospheric circulation is capable of generating highly intermittent yet significant saltation, yielding yearly transport rates similar to those on the most active dunes of Mars. Furthermore, we find that accounting for surface topography might be critical to answering open questions related to Titan's landscape evolution, including the formation of linear dunes in opposite direction to the prevailing circulation.


Sign in / Sign up

Export Citation Format

Share Document