Results 201 to 210 of about 25,499,806 (331)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Robust topology and dispatch optimization for renewable distribution networks with electric vehicle mobility uncertainty. [PDF]

Sci Rep
Xu L, Jiang J, Hu S, Wang T, Dong J.
europepmc   +1 more source

Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders

Advanced Science, EarlyView.
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

Adaptive SFC Management and Orchestration Based on DRL in Edge Intelligence for Computation Efficiency. [PDF]

Sensors (Basel)
Ros S, Iv T, Ryoo I, Kim S.
europepmc   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Reinforcement learning enabled hybrid optimisation for energy-efficient multipath routing in wireless sensor networks. [PDF]

Sci Rep
Nareshkumar R, Selvam P, Kaliyaperumal K, A H, Uma Maheswari P.   +4 more
europepmc   +1 more source

Damage‐Free Passivation of Ambipolar OECTs with Fluoropolymer Film for Enhanced Performance and Stability Toward Reliable Biosignal Processing

Advanced Science, EarlyView.
A damage‐free iCVD fluoropolymer passivation strategy is introduced for ambipolar vertical OECTs. Vapor‐phase infiltration and thermal annealing induce nanoscale phase separation in the OMIEC channel, enhancing overall device performance. A single‐channel bipolar event‐driven spiking encoder is also demonstrated for electrocardiogram signal encoding ...
Junyeong Yang, Bohyun Lee, Hanna Lee, Mingyu Kim, Changsoon Choi, Jung Ah Lim, Youson Kim, Sung Gap Im   +7 more
wiley   +1 more source

Van der Waals Heterostructures for Next‐Generation Spintronics: Multiferroic‐Mediated Magnetoelectric Properties

Advanced Science, EarlyView.
As CMOS technology approaches fundamental energy limits, new paradigms for low‐power information processing are required. Magnetic systems are attractive for their spin transport, yet current‐induced magnetization control is energy inefficient. Multiferroic heterostructures enable energy‐efficient electric field manipulation of magnetism.
Donghyeon Lee, Jiwoong Yang, Inhyeok Oh, Sanghan Lee   +3 more
wiley   +1 more source