Results 141 to 150 of about 11,990 (256)

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Equilibrium Propagation for Dissipative Dynamics

Advanced Intelligent Systems, EarlyView.
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley   +1 more source

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System

Advanced Intelligent Systems, EarlyView.
This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim, Yuting Wu, Finn Moore, Mingtao Hu, Xiaoyu Zhang, Sangmin Yoo, Eric Yeu‐Jer Lee, Hao Shen, Yichun He, Jia Liu, Wei D. Lu   +10 more
wiley   +1 more source

RATEX: A Scalable RNA‐Based Platform for Logical and Multi‐Layered Cellular Programming

Angewandte Chemie, EarlyView.
RATEX integrated ribosome‐mediated transcription control with synthetic RNA regulators, enabling simultaneous processing of RNA, metabolite, and small‐molecule inputs through complex logic operations within a single transcript. The platform achieves up to 1,492‐fold gene regulation, multi‐input hybrid logic gates, RNA‐programmed signaling cascades, and
Hyunseop Goh, Hansol Kang, Chaeri Kim, Jongmin Kim   +3 more
wiley   +2 more sources

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

Advanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng, Wenfeng Fan, Feng Li, Jian Wu, Wei Quan   +4 more
wiley   +1 more source

A Nonbenzenoid Nanographene Horse Saddle With Four Pentagon–Octagon Pairs

Angewandte Chemie, EarlyView.
Horse‐saddle molecule: We report herein the design and synthesis of an unprecedented saddle‐shaped non‐benzenoid Nanographene featuring a fused four‐pair pentagon–octagon core. The horse‐saddle structure of HN1 is determined by single‐crystal X‐ray diffraction.
Qiang Huang, Yubin Fu, Zongbao Zhang, Jinjin Ding, Mengyuan Yu, Xinyang Ge, Boris Borrisov, Hartmut Komber, Zhen‐Lin Qiu, Yana Vaynzof, Ji Ma, Xinliang Feng   +11 more
wiley   +2 more sources

Field‐Programable Dynamics in a Soft Magnetic Actuator Enabling True Random Number Generation and Reservoir Computing

Advanced Intelligent Systems, EarlyView.
Complex dynamics, often avoided in electromechanical design, can enhance soft robotics. We develop durable magnetic soft actuators operating in tunable dynamic regimes, enabling random number generation, stochastic computing, and time‐series prediction.
Eduardo Sergio Oliveros‐Mata, Oleksandr V. Pylypovskyi, Eleonora Raimondo, Rico Illing, Yevhen Zabila, Lin Guo, Guannan Mu, Mónica Navarro López, Xu Wang, Georgios Tzortzinis, Angelos Filippatos, Gilbert Santiago Cañón Bermúdez, Francesca Garescì, Giovanni Finocchio, Denys Makarov   +14 more
wiley   +1 more source

The Intricate Sabatier Optimality of Anion Electroreduction and Its Consequences for Nitrate Reduction

Angewandte Chemie, EarlyView.
The Sabatier principle and volcano plots declare that optimal electrocatalysis is found in the middle between strong and weak binding of key intermediates. However, it is shown here that during anion electroreduction, strong and weak binding are potential‐dependent concepts and volcanoes are mobile.
Mattia Salomone, Ioannis Katsounaros, Federico Calle‐Vallejo   +2 more
wiley   +2 more sources

A Dual-Mode Memristor-Based Oscillator for Energy-Efficient Biomedical Wireless Systems. [PDF]

Micromachines (Basel)
Barraj I, Masmoudi M.
europepmc   +1 more source