Results 111 to 120 of about 1,963,594 (263)

Hybrid Spring‐Coupled Broadband Energy Harvester Integrated with CuSCN Functionalized Triboelectric Vibration Sensor for Self‐Sustainable Vehicular IoTs

Advanced Science, EarlyView.
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta, Gagan Bahadur Pradhan, Shital Sharma, MoonSeong Jo, Aklesh Teli, Hochan Chang, Jae Yeong Park   +6 more
wiley   +1 more source

Aritmetic Compression of Weighted Finite Automata

, 2007
Karel Culik and the first author have demonstrated how Weighted Finite Automata (WFA) provide a strong tool for image compression [1, 2, 3, 4]. In the present article we introduce an improved method for the last step of the compression algorithm: for ...
Jarkko Kari, Pasi Fränti
core  

Habitat‐Specific Design Strategies for Untethered Soft Robots

Advanced Science, EarlyView.
Habitat shapes the design of untethered soft robots. Across land, water, air, and living tissues, environmental constraints govern viable combinations of compliant structures, actuation mechanisms, and energy delivery. This review connects these constraints with robotic performance and identifies design principles for advancing adaptable, durable, and ...
Siyang Li, Zhikun Miao, Tuck‐Whye Wong, Tiefeng Li   +3 more
wiley   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source

Weighted finite-state transducer algorithms an overview

, 2004
Weighted finite-state transducers are used in many applications such as text, speech and image processing. This chapter gives an overview of several recent weighted transducer algorithms, including composition of weighted transducers, determinization of ...
Mehryar Mohri
core  

Magnetoelectric Multiferroics for the Next‐Generation Ultralow‐Power Electronics

Advanced Science, EarlyView.
Magnetoelectric coupling provides a unifying route from electric‐field control of magnetic order to non‐volatile MeRAM, MESO logic, and emerging antiferromagnetic and magnonic devices. By connecting switching physics with device benchmarks, material platforms, and integration strategies, distinctive technological opportunities are identified alongside ...
Yang Liu, Yunlong Sun, Hao Luo, Duoduo Zhao, Yuhan Zeng, Xuzihan Zhang, Zhewei Liu, Hao Peng, Zhijing Zhang, Jack Yang, Ji Zhang, Danyang Wang, Junjie Shi, Sean Li   +13 more
wiley   +1 more source

µSlicer for Programmable Multimaterial 3D Printing

Advanced Science, EarlyView.
ABSTRACT Nature rarely builds with uniform materials; instead, it achieves exceptional performance by arranging composition and structure across multiple length scales. Mimicking such architectures has become increasingly feasible with additive manufacturing, and especially with multimaterial 3D printing, where complex structures with spatially varying
Daniel H. Meile, Berin Šeta, Md. Tusher Mollah, Yohan Jacquet, Rob Wolfs, Jon Spangenberg   +5 more
wiley   +1 more source

Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing

Advanced Science, EarlyView.
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim, Gyunghyun Jang, Seungwon Jin, Jaewon An, Dongbin Shin, Hyeon‐Jin Shin, Jie Luo, Akel Hashim, Irfan Siddiqi, Yosep Kim, Long B. Nguyen, Hoon Hahn Yoon   +11 more
wiley   +1 more source

Neutron Depth Profiling: The Core Link Connecting the Microscopic Mechanisms of Lithium‐Ion Batteries With Intelligent Design

Advanced Science, EarlyView.
Neutron depth profiling exploits the 6Li(n,3H)4He reaction to provide quantitative, isotope‐specific, depth‐resolved maps of lithium inside operating lithium‐ion batteries, directly linking lithium transport, dendrite growth and interfacial short‐circuiting to a physics‐informed machine‐learning roadmap that turns this non‐destructive operando ...
Yulong Zhang, Chunjing Yue, Shijiao Liu, Muyang Chen, Xiaokang Shi, Rui Tan, Hongqing Hao, Jie Yang, Xinhua Liu   +8 more
wiley   +1 more source

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

Advanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source