Results 91 to 100 of about 20,859 (261)

Deep learning-based dynamic forecasting method and application for ultra-deep fractured reservoir production

Frontiers in Energy Research
Addressing the complex challenges in dynamic production forecasting for the deep-ultra-deep fractured carbonate reservoirs in the Tarim Basin’s Tahe Oilfield, characterized by numerous influencing factors, strong temporal variations, high non-linearity ...
Ziyan Deng, Ziyan Deng, Ziyan Deng, Dongsheng Zhou, Dongsheng Zhou, Zhijiang Kang, Hezheng Dong, Hezheng Dong   +7 more
doaj   +1 more source

Tunable Complementary Doping Strategy Enables High‐Performance Homo‐Channel CMOS in Monolayer WSe2

Advanced Functional Materials, EarlyView.
Polarity‐selective modulation enables a homo‐channel WSe2 CMOS platform from a single 2D semiconductor. MoOx and AlN tune WSe2 toward p‐ and n‐type operation, respectively, yielding complementary FETs and inverters with balanced switching, high voltage gain, low static power, and promising scalability for 2D logic integration.
Kuan‐Hsiang Chiu, Wen‐Chia Wu, His‐Yu Chen, Chien‐Chih Liu, Ze‐Rui Lin, Chiung‐Yuan Lin, Chenming Hu, Chao‐Hsin Chien   +7 more
wiley   +1 more source

GAT4Rec: Sequential Recommendation with a Gated Recurrent Unit and Transformers

Mathematics
Capturing long-term dependency from historical behaviors is the key to the success of sequential recommendation; however, existing methods focus on extracting global sequential information while neglecting to obtain deep representations from subsequences.
Huaiwen He, Xiangdong Yang, Feng Huang, Feng Yi, Shangsong Liang   +4 more
doaj   +1 more source

Noise‐Limited Bit Precision in Ferroelectric Synaptic Transistors for High‐Resolution Neuromorphic Computing

Advanced Functional Materials, EarlyView.
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park, Yeonseop Shin, Changhyeon Han, Sangwoo Kim, Eunchan Park, Youngchan Cho, Jaehong Min, Hyunjun Ahn, Jaekyoung Park, Cheol‐Woong Yang, Jangsaeng Kim, Daewoong Kwon, Wonjun Shin   +12 more
wiley   +1 more source

Snap‐Through–Driven Liquid Crystal Elastomers for High‐Power Remote Microneedle Actuation Toward Smart Livestock Systems

Advanced Functional Materials, EarlyView.
A magnetically assisted snap‐through liquid crystal elastomer transforms photochemical deformation into a high‐power mechanical impulse, enabling remote microneedle actuation and highlighting its potential for future smart livestock intervention systems.
Chae Won Lee, Nankyung Kim, SeungHyun Park, Dae Seok Kim   +3 more
wiley   +1 more source

Seismic phase recognition model with low SNR based on U-net

Geomatics, Natural Hazards & Risk
Aiming at the problem of low recognition accuracy and high missed detection rate of seismic phase recognition of low signal-to-noise ratio seismic signals, a new seismic phase recognition model UBAN (U-net-Bidirectional Gated Recurrent Unit-Attention ...
Jianxian Cai, Zhongjie Sun, Mengying Zhang, Fenfen Yan, Li Wang, Ling Li   +5 more
doaj   +1 more source

Sulfation‐Tunable Peptide‐Glycosaminoglycan Hydrogels for Hematopoietic Stem and Progenitor Cell Expansion

Advanced Functional Materials, EarlyView.
Co‐assembly of rationally designed glycosaminoglycan‐binding peptides with sulfated glycosaminoglycans yields supramolecular hydrogels with tunable mechanics and matrix‐mediated cytokine retention. The glycosaminoglycans thereby act as cofactors, driving a coil‐to‐β‐sheet transition that triggers gelation.
Shirel Veretnik, Prannoy Seth, Maximilian Fusenig, Jens Friedrichs, Nicole Fertala, Passant Atallah, Uwe Freudenberg, Ayala Lampel, Carsten Werner   +8 more
wiley   +1 more source

Application of Gated Recurrent Units for CT Trajectory Optimization

CoRR
4 pages, 6 ...
Yuedong Yuan, Linda-Sophie Schneider, Andreas K. Maier   +2 more
openaire   +2 more sources

A Deep Learning Model with Axial Attention for Radar Echo Extrapolation

Applied Artificial Intelligence
Radar echo extrapolation is an important approach in precipitation nowcasting which utilizes historical radar echo images to predict future echo images.
Yu-Mei Xie, Ying-Liang Zhao, Shu-Yan Huang   +2 more
doaj   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source