Results 191 to 200 of about 1,222,285 (331)

Rapid Steam‐Assisted Temperature Swing Adsorption for Direct Air Capture Using a Rotary Adsorber

Advanced Science, EarlyView.
This study presents a direct air capture (DAC) device based on a steam‐regeneration rotary adsorber for high‐purity CO2. Testing of the prototype demonstrates its capability for continuous and stable carbon capture with the potential to achieve ton‐scale.
Junye Wu, Yunhao Chen, Kuihua Wang, Yingjie Huo, Yanlin Chen, Quanwen Pan, Tianshu Ge   +6 more
wiley   +1 more source

Cactus Thorn-Inspired Janus Nanofiber Membranes as a Water Diode for Light-Enhanced Diabetic Wound Healing. [PDF]

Nanomicro Lett
Wen M, Yu N, Zhang X, Zhao W, Qiu P, Feng W, Chen Z, Chen Y, Zhu M.   +8 more
europepmc   +1 more source

Dual‐Responsive Yarn‐Based Artificial Muscles for Adaptive Thermal Management

Advanced Science, EarlyView.
Inspired by the conscious movements of skeletal muscle, a novel hybrid yarn‐based artificial muscle (HYAM) coupling moisture actuation with controllable recovery is developed. This unique design increases actuation stroke by 128% and shortens recovery time by 91%. This unique design enhances the actuation stroke by 128% and reduces the recovery time by
Mengjiao Pan, Xiaohui Zhang, Jinhao Xu, Ziqi Li, Junjie Wang, Qirui Zhang, Yi Liu, Hongfei Yang, Kinor Jiang, Albert Chan, Yucan Peng, Dahua Shou   +11 more
wiley   +1 more source

Determining the mechanisms that cause woody plants to moderate microclimate in grasslands. [PDF]

Tree Physiol
Neumann LK, Davis CA, Fuhlendorf SD.
europepmc   +1 more source

Pan evaporation and potential evapotranspiration

MAUSAM, 1959
openaire   +2 more sources

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

Advanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang, Yuxiang Yang, Baiqian Wang, Yaoyu Tao, Zelun Pan, Lei Cai, Teng Zhang, Longhao Yan, Xianbin Li, Yuchao Yang   +9 more
wiley   +1 more source

Pan coefficient for irrigation scheduling across the Palghat Gap of Kerala

Journal of Agrometeorology, 2003
G.S.L.H.V. PRASADA RAO, K. N. KRISHNA KUMAR   +1 more
doaj   +1 more source

Bioinspired photothermal zwitterionic fibrous membrane for high-efficiency solar desalination and electricity generation. [PDF]

Nat Commun
Wang Y, Chen F, Chen Q, Liu W, Huang Q, Hou X, Li S, Cheng C, Xie X, Meng N, Liao Y.   +10 more
europepmc   +1 more source

A comparison of different models of estimating actual evapotranspiration from potential evapotranspiration in the dry zone of Sri Lanka [PDF]

, 1999
De Silva, RP
core  

Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

Computers and Electronics in Agriculture, 2020
Lifeng Wu, Guomin Huang, Junliang Fan, Xin Ma, Hanmi Zhou, W. Zeng   +5 more
semanticscholar   +1 more source