Results 101 to 110 of about 5,135 (265)

From Devices to Systems: Integration Strategies for Micro‐Supercapacitors in Microsystems

Advanced Science, EarlyView.
Micro‐supercapacitors are evolving from device‐level energy storage toward system‐level functional units in integrated microsystems. This Review presents a system‐oriented design framework in which integration serves as the key link between application requirements, system constraints, device architectures, and material selection. Monolithic and hybrid
Zhuohao Liu, Gang Li, Kaiying Wang
wiley   +1 more source

Voltage‐Reconfigurable Magneto‐Ionic Nanolayers in Dot Arrays for Probabilistic, Materials‐Engineered Security Primitives

Advanced Science, EarlyView.
A magneto‐ionic security‐by‐materials‐design strategy exploits voltage‐driven N3– migration in selectively contacted FeCoN dots, creating reconfigurable sub‐15 nm ferromagnetic sublayers with deterministic and/or probabilistic (single‐domain↔vortex) states, voltage‐tunable probabilities and fully stochastic orientation/chirality.
Irena Spasojevic, Federica Celegato, Alessandro Magni, Paola Tiberto, Jordi Sort   +4 more
wiley   +1 more source

Battery‐Inspired Electrochemical Synapses for Neuromorphic Applications

Advanced Science, EarlyView.
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Won Woo Lee, SeongCheol Jang, Wangmyung Choi, Jaewon Park, Jaehyun Hur, Hocheon Yoo, Hyun‐Suk Kim   +6 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

Analog Synaptic Plasticity in 2D Layered Material Iontronic Memtransistors for Brain‐Inspired Computing

Advanced Science, EarlyView.
In this work, we demonstrated a robust 2D MoS2 based iontronic memtransistor of planar architecture operated under the influence of an electrical double layer with versatile performance and applications, including pinched hysteresis nature of transfer curve, analogue channel conductance tuning, low‐voltage operation, logic‐gate operation, classical ...
Puranjay Saha, Saptarshi Bej, Bikas C. Das   +2 more
wiley   +1 more source

GARCH-PDE models for option pricing under stochastic volatility and their finite difference solvers

Journal of Finance and Data Science
This paper presents numerical solvers for generative and hybrid option pricing models that unify econometric and diffusion-based approaches. These models are formulated as systems of continuous partial differential equations (PDEs), with stochastic ...
Qi Wang, Lu Zhang, Qian Zhang
doaj   +1 more source

Programming Gut Microbiome Function Through Cross‐Feeding: From Ecological Mechanisms to Live Biotherapeutics

Advanced Science, EarlyView.
This graphical abstract presents gut microbial cross‐feeding through a Mechanism–Technology–Application framework. It summarizes major resource‐transfer modes, the experimental and computational tools used to establish causality, and potential interventions involving dietary substrates, live biotherapeutic products, and engineered microbes.
Chuankai Sun, Teng Ma, Hao Jin, Zelong Li, Yi Cheng, Jingjin Li, Lai‐Yu Kwok, Zhihong Sun   +7 more
wiley   +1 more source

Stochastic autoregressive volatility model for exchange rates [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2008
A discrete time model for asset price changes is considered. The volatility process underlying these changes is modeled as a first-order Gaussian autoregressive series.
Nittaya McNeil, Don McNeil, Nino Kordzakhia   +2 more
doaj  

RRAM Variability Harvesting for CIM‐Integrated TRNG

Advanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende, Gokulnath Rajendran, Regina Dittmann, Anupam Chattopadhyay, Vikas Rana   +4 more
wiley   +1 more source

TEOREMA FUNGSI INVERS DAN APLIKASINYA DALAM ESTIMASI VOLATILITAS MODEL STOKASTIK

E-Jurnal Matematika
The Inverse Function Theorem plays a fundamental role in various areas of applied mathematics, particularly in stochastic analysis and financial modeling.
NILMA SARI, FAIHATUZ ZUHAIROH
doaj   +1 more source