Results 61 to 70 of about 12,494 (260)

Probability approximation schemes for stochastic programs with distributionally robust second-order dominance constraints [PDF]

Optimization Methods and Software, 2016
Since the pioneering work by Dentcheva and Ruszczynski [Optimization with stochastic dominance constraints, SIAM J. Optim. 14 2003, pp. 548–566], stochastic programs with second-order dominance constraints SPSODC have received extensive discussions over the past decade from theory of optimality to numerical schemes and practical applications.
Shaoyan Guo, Huifu Xu, Liwei Zhang
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms

Telecom
This paper introduces a novel approach to blind adaptive equalization for digital communication systems using genetic algorithms (GAs). Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique ...
Caroline A. D. Silva, Marcelo A. C. Fernandes   +1 more
doaj   +1 more source

Robust Stochastic Dynamic Optimal Power Flow Model of Electricity-Gas Integrated Energy System considering Wind Power Uncertainty

Complexity, 2020
The application of gas turbines and power to gas equipment deepens the coupling relationship between power systems and natural gas systems and provides a new way to absorb the uncertain wind power as well.
Zhengfeng Qin, Xiaoqing Bai, Xiangyang Su   +2 more
doaj   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Performance Enhancement of Tin Chloride‐Incorporated Ferroelectric Polymer‐Based Artificial Synapse for Hardware Neural Networks

Advanced Functional Materials, EarlyView.
This paper proposes a highly efficient ferroelectric artificial synapse device based on an oxide semiconductor and SnCl2‐inserted P(VDF‐TrFE) gate dielectric layer. This FeFET significantly improved the synaptic performance due to the ion‐dipole interaction.
Hyun‐Soo Kim, Hyunkyu Lee, Yeonho Choi, Won Young Jang, Hyungmin Kim, Krishna Moorthy Ponnusamy, Hongseung Lee, Jaewook Yoo, Ji Ye Lee, S. Chandramohan, Seongin Hong, Hagyoul Bae, Hyeon‐Sik Jang, Sang Yeol Lee, Keun Heo   +14 more
wiley   +1 more source

From Geometry to Function: Programmable Mechanical Response in 3D‐Printed Adipose‐Inspired Soft Metamaterials

Advanced Functional Materials, EarlyView.
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo, Gianmarco Dolino, Damiano Coato, Paolo Gargiulo, Emanuele Luigi Carniel   +4 more
wiley   +1 more source

Implementing and Comparing Stochastic and Robust Programming

, 2015
Traditional optimisation tools focus on deterministic problems: scheduling airline flight crews (with as few employees as possible while still meeting legal constraints, such as maximum working time), finding the shortest path in a graph (used by navigation systems to give directions, usually based on GPS signals), etc.
openaire   +1 more source

Biomimetic Microfractals Based Flexible Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
A leaf‐skeleton‐based microfractal architecture is integrated with guided CuNW networks and biomimetic triboelectric polymer layers, enabling breathable, flexible, and material‐efficient triboelectric nanogenerators. The resulting system combines enhanced charge generation and charge transport, offering potential for next‐generation self‐powered ...
Amit Barua, Mislav Matić, Ana‐Marija Pitner, Rituporn Gogoi, Aman Kumar, Mirko Poljak, Anastasia Koivikko, Vipul Sharma   +7 more
wiley   +1 more source

Increasing Inter‐Micellar Connectivity Toughens and Imparts Cooling‐Induced Shape Memory in Micellar Hydrogels

Advanced Functional Materials, EarlyView.
Oligomerizing Pluronic triblock copolymers provides a processing strategy for tuning the mechanical properties and stimuli‐responsive behaviors of micellar hydrogels. Varying oligomer fraction produces hydrogels spanning brittle to highly extensible responses; maintaining micellar architectures enables cooling‐induced reverse thermal shape memory and ...
Gourav Kumbhojkar, Eric Yang, Arman Moussavi, EunBi Oh, Haeji Kim, Wei Chen, Junsoo Kim, Sinan Keten, Ryan L. Truby   +8 more
wiley   +1 more source