Results 61 to 70 of about 82,941 (309)
Seasonal variation in soil and plant water potentials in a Bolivian tropical moist and dry forest [PDF]
, 2010 We determined seasonal variation in soil matric potentials (¿soil) along a topographical gradient and with soil depth in a Bolivian tropical dry (1160 mm y-1 rain) and moist forest (1580 mm y-1).
Markesteijn, L. +3 more
core +1 more source
Advanced Materials, EarlyView.Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang +5 more
wiley +1 more source
PLoS ONE, 2013 Soil water retention parameters are critical to quantify flow and solute transport in vadose zone, while the presence of rock fragments remarkably increases their variability.
Huifang Wang +3 more
doaj +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
Advanced Materials, EarlyView.“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Evaluation of pedotransfer functions to estimate soil water retention curve : a conceptual review [PDF]
The soil water retention curve (SWRC) is a vital soil property used to evaluate the soil’s water holding capacity, a critical factor in various applications such as determining soil water availability for plants, soil conservation and management, climate
Yang, James, +9 more
core +1 more source
Combination of artificial neural networks and fractal theory to predict soil water retention curve [PDF]
, 2013 Despite good progress in developing pedotransfer functions (PTFs), the input variables that are more preferable in a PTF have not been yet determined clearly. Among the modeling techniques to characterize soil structure, those using fractal theory are in
Bayat, H. +5 more
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Impact of natural biochar on soil water retention capacity and quinoa plant growth in different soil textures [PDF]
Although data regarding the effect of different types of synthetic biochar on plant performance and physical and chemical characteristics of soil is widely available, the effect of natural biochar in this respect is not well known, so far. The purpose of
Bayat, H., Daraei, E., Gregory, A. S.
core +1 more source
Using categorical soil structure information to improve soil water retention estimates of tropical delta soils [PDF]
, 2014 Models of soil water and solute transport require input data of soil hydraulic properties (e.g. soil water retention and hydraulic conductivity curves). Lack of such data, especially in tropical delta regions, has usually been the main constraint for the
Nguyen, Phuong +4 more
core +1 more source
Ratiometric Mycotoxin Detection in Living Plants With Dual‐Emissive Nanosensors
Advanced Materials, EarlyView.A minimally invasive microneedle patch integrates carbon dot‐embedded metal–organic frameworks as nanosensors to detect a key fungal toxin in living plants. The nanosensor produces a ratiometric fluorescence signal that enables early, non‐destructive diagnosis of fungal infection before visible symptoms, offering a new biomaterials‐based strategy for ...
Yuliang Li +9 more
wiley +1 more source