Results 111 to 120 of about 11,998 (267)

Tri‐Layer Solid‐State Nanopore Arrays with Crosstalk Suppression for High‐Throughput, Femtomolar‐Level Biosensing

Advanced Science, EarlyView.
The critical pore spacing—approximately twenty times the pore radius—required to minimize electric field coupling is determined via finite element analysis. A multi‐layered Al2O3/Au/Si3N4 nanopore structure fabricated by helium ion beam lithography is proposed, enabling quantitative analysis of the target analyte while mitigating inter‐pore crosstalk ...
Silu Feng, Qinglong Luo, Siqi Ai, Suiwei Shen, Chengyong Wang, Zhishan Yuan   +5 more
wiley   +1 more source

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling

Advanced Electronic Materials, EarlyView.
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta, Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Stephan Menzel, Antonio La Porta, Tommaso Stecconi, Folkert Horst, Bert Jan Offrein, Valeria Bragaglia   +9 more
wiley   +1 more source

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

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Fractional-order stochastic delayed neural networks with impulses: mean square finite-time contractive synchronization. [PDF]

Sci Rep
Palanisamy G, Kandasamy U, Rihan FA, Ben Said S.   +3 more
europepmc   +1 more source

Assessing Agricultural Green Total Factor Productivity in Latin America

Agribusiness, EarlyView.
ABSTRACT The agricultural sector in Latin America plays a vital role in ensuring food security while impacting the environment. However, there remains a lack of analysis regarding the inputs responsible for pollution within its sub‐technologies. Hence, this article aims to assess agricultural green total factor productivity (TFP) through a novel ...
Tianxiang Li, Vanessa Ormeño‐Candelario, Xueli Chen   +2 more
wiley   +1 more source

Nonlinear control of quadrotor UAV under rotor failure for robust trajectory tracking. [PDF]

Sci Rep
Simha A, Ambroziak L.
europepmc   +1 more source

How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency

Agribusiness, EarlyView.
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan, Orkhan Sariyev, Mohammad Ariful Islam, Manfred Zeller   +3 more
wiley   +1 more source

Dynamic decision-making and differential game analysis of ESG-constrained closed-loop supply chains under cap-and-trade regulation. [PDF]

Sci Rep
Lan H, Si X, Li X, Tang J.
europepmc   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source