Results 161 to 170 of about 1,557,339 (268)

Krylov complexity as an order parameter for quantum chaotic-integrable transitions

Physical Review Research
Krylov complexity has recently emerged as a new paradigm to characterize quantum chaos in many-body systems. However, which features of Krylov complexity are a prerogative of quantum chaotic systems and how they relate to more standard probes, such as ...
Matteo Baggioli, Kyoung-Bum Huh, Hyun-Sik Jeong, Keun-Young Kim, Juan F. Pedraza   +4 more
doaj   +1 more source

Hard Carbon in Alkali Metal Ion Batteries

ChemistryEurope, Volume 4, Issue 1, January 2026.
Analyze the storage mechanism of hard carbon materials in alkali metal ion batteries, explore the relationship between microstructure and performance, and provide countermeasures to improve performance. Hard carbons (HCs) are nongraphitizable and consist of numerous short‐range carbon layers stacked together.
Ping Lin, Laibing Wang, Xiuli Wang, Yu Zhong, Jiangping Tu   +4 more
wiley   +1 more source

Partial dynamical symmetry versus quasi dynamical symmetry examination within a quantum chaos analyses of spectral data for even-even nuclei. [PDF]

Sci Rep, 2021
Sabri H, Mobarakeh SKM, Majarshin AJ, Luo YA, Pan F.   +4 more
europepmc   +1 more source

Parallel Algorithm for Approximate State Graph Exploration With Restricted Memory Footprint

Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT We investigate the performance of algorithms that explore large state graphs of finite state machines without input by following paths. To improve on anchor‐based and candidate‐based explorations and to avoid the performance overhead of full anchor lists and the tuning sensitivity of timeout‐based methods, we propose and analyze exploration ...
Jörg Keller, Sebastian Litzinger
wiley   +1 more source

Chaos in the holographic matrix models for meson and baryon

Journal of High Energy Physics
In recent years, the investigation of chaos has become a bridge connecting gravity theory and quantum field theory, especially within the framework of gauge-gravity duality.
Si-wen Li, Xun Chen
doaj   +1 more source

A Machine Learning Framework for Detecting and Preventing Cyber‐Attacks in Industrial Cyber‐Physical Systems

Engineering Reports, Volume 8, Issue 1, January 2026.
Proposed cyber physical system security framework. ABSTRACT The increasing adoption of cyber‐physical systems (CPS) in Industry 4.0 has heightened vulnerability to cyber threats. This study proposes a machine learning–based intrusion detection framework, DBID‐Net, to effectively identify and prevent attacks in CPS environments. The framework integrates
Anurag Sinha, Rejuwan Shamim, Mihika Mahendra, Trupti Mohota, G. Madhukar Rao, Mohammad Nadeem Ahmed, Mohammad Rashid Hussain, Satyam Solanki, Tanish Ranjan, Bhaskar, Mini Kumari, Karan Dixit, Vyom Modi, Syed Immamul Ansarullah, Mohd Asif Shah   +14 more
wiley   +1 more source

Nonlinear Dynamics and Quantum Chaos

Graduate Texts in Physics, 2022
S. Wimberger
semanticscholar   +1 more source

Stability Analysis of Different Quaternion‐Valued Impulsive BAM Neural Networks With Unknown Parameters and Time‐Varying Delays

Engineering Reports, Volume 8, Issue 1, January 2026.
This work tackles the unresolved stability problem of heterogeneous quaternion‐valued BAM neural networks plagued by unknown parameters, time‐varying delays, and impulses. By synergizing Lyapunov theory with inequality techniques, we establish rigorous, yet practical, global stability conditions.
Xi Long, Yaqin Li
wiley   +1 more source

Quantum noise, entanglement and chaos in the quantum field theory of mind/brain states

, 2003
We review the dissipative quantum model of brain and present recent developments related with the r\^ole of entanglement, quantum noise and chaos in the model.Comment: 15 ...
Pessa, Eliano, Vitiello, Giuseppe
core  

Progress and Prospect of Integrated Microfluidic, Electrochemical, Liquid Crystal Technologies, and Machine Learning for Wearable Biosensors

Engineering Reports, Volume 8, Issue 1, January 2026.
This review highlights advances in integrating microfluidic, electrochemical, and liquid crystal technologies for wearable biosensors. These hybrid systems enable non‐invasive, real‐time monitoring of biofluids and, when coupled with machine learning, offer new opportunities for personalized healthcare diagnostics.
Milad Esfandiar, S. M. Hosseinalipour, Sarah Salehi   +2 more
wiley   +1 more source