Results 51 to 60 of about 448 (209)
Advances in causal discovery methods for ecological time series
ABSTRACT Recent advances in data collection technologies (e.g. automated sensor networks, satellite remote sensing, and high‐throughput sequencing) have greatly expanded the availability of ecological time series, enabling new opportunities for causal analyses in dynamic ecosystems.
Kenta Suzuki +6 more
wiley +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
In our previous research work, we investigated different methods to mitigate the vortex rope that appears in the draft tube of a Francis turbine when it operates at off-design operating points.
Constantin Tănasă +5 more
doaj +1 more source
Orchestrating Green Transformation: How AI Adoption Enables Corporate Carbon Neutrality
ABSTRACT As carbon neutrality has become a central goal of global climate governance, how firms achieve low‐carbon transformation has emerged as a critical research issue. However, prior studies have primarily focused on macro‐ or industry‐level analyses, offering limited and fragmented insights into how digital technologies—particularly AI—affect firm‐
Xiaonan Dong, Sungjin Son
wiley +1 more source
This study investigates Spanish broom (Spartium junceum) as a renewable source for electrospun composite membranes in sustainable water purification. MCC and biochar were functionalized with eco‐friendly precursors and nanomaterials (i.e., HNT, β‐CDs) to develop hybrid PVA nanofiber composites.
Giulia Rando +7 more
wiley +1 more source
3DCFDSimulationoftheRunawayTransientsofBulbTurbine
:In order to study of the unstable phenomena due to additional inertia forces during the runaway transients of hydropower units,the 3D simulation of the runaway transients in the whole passage of a bulb turbine was presented.The histories of pressure ...
夏林生 +3 more
doaj
The Francis turbine stability is impacted significantly by the flow characteristics in its draft tube. In the case of a Francis turbine in a hydropower plant, numerical simulations were undertaken at the maximum and rated heads, respectively, under three
Yuanhang Hou +7 more
doaj +1 more source
An improved method for preventing vortex rope formation and alleviating the associated pressure fluctuations in turbine draft tubes is investigated using baffles in the draft tube to hinder the swirling flow emerging from a Francis turbine runner.
Xing Zhou, He-gao Wu, Chang-zheng Shi
doaj +1 more source
On the upper part load vortex rope in Francis turbine: Experimental investigation [PDF]
The swirling flow developing in Francis turbine draft tube under part load operation leads to pressure fluctuations usually in the range of 0.2 to 0.4 times the runner rotational frequency resulting from the so-called vortex breakdown. For low cavitation number, the flow features a cavitation vortex rope animated with precession motion.
C Nicolet +3 more
openaire +1 more source
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary +5 more
wiley +1 more source

