Results 221 to 230 of about 2,218,259 (288)

Devices, Functions, and Applications of Artificial Neuromorphic Visual Systems. [PDF]

Adv Sci (Weinh)
Liu J, Li B, Liu C, Sun D, Cheng H.
europepmc   +1 more source

Orthogonal printing of uniform nanocomposite monolayer and oriented organic semiconductor crystals for high-performance nano-crystal floating gate memory [PDF]

Xi Mao, Yonghao Yang, Lisong Yang, Haowen Qian, Li Wang, Wenqi Zhao, Shuai Deng, Shaohong Jin, Liangzhu Jiang, Changxu Liu, Wen Li, Mingdong Yi, Renhua Deng, Jintao Zhu, Renhua Deng, Jintao Zhu   +15 more
openalex   +1 more source

Numerical Modeling of Photothermal Self‐Excited Composite Oscillators

Advanced Robotics Research, EarlyView.
We present a numerical framework for simulating photothermal self‐excited oscillations. The driving mechanism is elucidated by highlighting the roles of inertia and overshoot, as well as the phase lag between the thermal moment and the oscillation angle, which together construct the feedback loop between the system state and the environmental stimulus.
Zixiao Liu, Ryan R. Rusch, Zheng Wu, Chi Chen, Pengju Shi, Hao Qiu, Ximin He   +6 more
wiley   +1 more source

Soft-Error-Resilient Static Random Access Memory with Enhanced Write Ability for Radiation Environments. [PDF]

Micromachines (Basel)
Park SY, Jeong EG, Jo SH.
europepmc   +1 more source

Retention Time and Depolarization in Organic Nonvolatile Memories Based on Ferroelectric Semiconductor Phase-Separated Blends

, 2010
Kamal Asadi, Jurjen Wildeman, Paul W. M. Blom, Dago M. de Leeuw   +3 more
openalex   +2 more sources

Ecosystem‐Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs)

Advanced Science, EarlyView.
Robots exploring natural ecosystems can support monitoring and conservation, but must adopt ecosystem‐centered design to avoid pollution, waste, and damage. This review proposes guidelines for co‐designing ecoresorbable sustainability robots (ESRs), uniting materials, robotics, and ecological contexts in a single framework.
Tülin Yılmaz Nayır, Yuan Fang, Consuelo Contreras, Andrew K. Schulz, Florian Hartmann   +4 more
wiley   +1 more source

Deep reinforcement learning for scheduling semiconductor cluster tools in varying configurations. [PDF]

Sci Rep
Choi J, Kim SB.
europepmc   +1 more source

6-2 Semiconductor Memories

, 1973
Yasuo Tarui, Yoshio Komiya, Tsunenori Sakamoto   +2 more
openalex   +2 more sources

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

A stochastic dual-phase-lag two-temperature photo-thermoelastic model for double-porosity semiconductors with initial stress. [PDF]

Sci Rep
Rezk EG, Ismail GM, Ahmed A, Lotfy K, El-Bary AA, Can E, Elidy ES.   +6 more
europepmc   +1 more source