Results 101 to 110 of about 197,762 (310)
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Department of Applied Mathematics and Statistics newsletter, September 16, 2024
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
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Variable-Order Postquantum Fractional Integral Inequalities With Nonuniform Memory
Variable memory effects are essential for accurately modeling nonlocal phenomena in applied mathematics, physics, and engineering. Motivated by this observation, we develop a new class of variable-order postquantum fractional integral inequalities based ...
Ashraf Al-Quran +3 more
doaj +1 more source
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Department of Applied Mathematics and Statistics newsletter, January 22, 2024
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
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In this paper, the additive half-quadratic image restoration problem with zero boundary conditions is investigated. The Newton method is used to solve this problem and a structured linear system needs solving at each step.
Chaojie Wang +3 more
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Department of Applied Mathematics and Statistics Newsletter, October 6, 2025 [PDF]
Newsletter of the Department of Applied Mathematics and Statistics at Colorado School of ...
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Novel Synchronization Analysis of Fractional-Order Nonautonomous Neural Networks With Mixed Delays
This paper focuses on the global Mittag–Leffler synchronization of fractional-order nonautonomous neural networks with mixed delays (FONANNMD). A time-varying coefficient eρt is introduced to capture the nonautonomous dynamics, aligning with real-world ...
Xiao-wen Tan +3 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

