Results 241 to 250 of about 36,400 (294)

Polymorphic Superparaelectric Engineering Boosting Energy Storage Capacity in BaTiO3‐Based Ceramics

Advanced Science, EarlyView.
Herein, Ca2+ incorporation promotes the coexistence of CaTiO3‐/BaTiO3‐derived paraferroelectric states, stabilizing cubic‐orthorhombic‐tetragonal polymorphic superparaelectric phases. This minimizes polarization energy barriers, facilitating full polarization saturation without compromising efficiency.
Pan Liu, Xiang Ren, Jin Qian, Haihua Huang, Peng Li, Peng Fu, Jigong Hao, Huarong Zeng, Wei Li, Zhenxiang Cheng   +9 more
wiley   +1 more source

Automated water demand forecasting for national-scale deployment: a prophet-based framework for Palestinian municipal water management. [PDF]

Sci Rep
Salman A, Shaka'a Y.
europepmc   +1 more source

Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements

Advanced Science, EarlyView.
The multifunctional and tunable meta‐nanogenerator material system combines a mechanical metamaterial and a triboelectric nanogenerator enabling self‐powered, real‐time force sensing across application‐specific ranges. Geometrical tuning adjusts stiffness and the force sensing range, while modular integration streamlines assembly.
Roshira Premadasa, Pouya Almasi, Samriddhi Ghimire, Wenkui Dong, Chenjie Zhang, Pengcheng Jiao, Qianyun Zhang   +6 more
wiley   +1 more source

A novel hybrid model integrating CEEMDAN decomposition, dispersion entropy and LSTM for photovoltaic power forecasting and anomaly detection. [PDF]

Sci Rep
Qiu Z, Ye J, Lu J, Zhu N.
europepmc   +1 more source

ReRAM/CMOS Array Integration and Characterization via Design of Experiments

Advanced Electronic Materials, EarlyView.
This paper proposes the Design of Experiments to characterize arrays of oxide‐based ReRAM devices by exploring the large characterization space efficiently using only a few numbers of experiments. Using in‐house integration of 20 000 ReRAM devices on a CMOS chip, the unconventional optimization approach determines optimized measurement parameters and ...
Imtiaz Hossen, William A. Borders, Advait Madhavan, Shweta Joshi, Patrick M. Braganca, Jabez J. McClelland, Brian D. Hoskins, Gina C. Adam   +7 more
wiley   +1 more source

Short term demand forecasting of electric vehicle charging stations using context aware temporal transformer model. [PDF]

Sci Rep
Hussain A, Lu QC, Rizvi SS, Wang S, Kwon SJ.   +4 more
europepmc   +1 more source

Enhanced Energy Harvesting Performance of Biodegradable Polylactic Acid/3D Anodic Aluminum Oxide Composite Triboelectric Nanogenerators

Advanced Electronic Materials, EarlyView.
Polylactic acid (PLA) embedded in 3D anodic aluminum oxide (3D‐AAO) yields triboelectric nanogenerators (TENGs) with ɛeff = 5.1, delivering 20V and 108µW both per cm2. These agglomeration‐resistant, compostable/biocompatible devices retain 95% output after 104 cycles, enabling robust self‐powered Internet of Things (IoT) sensing.
Carlos G. Cobos, Catia Rodrigues, Mariana M. Ramos, João Ventura, André M. Pereira, Marisol Martín‐González   +5 more
wiley   +1 more source

ThoR: A Motion-Dependent Physics-Informed Deep Learning Framework with Constraint-Centric Theory of Functional Connections for Rainfall Nowcasting. [PDF]

Sci Rep
Gia KT, Van HT, Thanh AP, Minh NP.
europepmc   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Optimizing solar irradiance forecasting: ANN models enhanced with ADAM and Cuckoo search algorithm. [PDF]

PLoS One
Sadiq M, Jibreel Sammar M, Anwaar Saeed M, Chen L, Liang J, AlZahrani MY, Mohsin SM.   +6 more
europepmc   +1 more source