Results 21 to 30 of about 177 (170)

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

Advanced Intelligent Systems, EarlyView.
This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors, integrating binning adaptive sampling and transformer neural networks to efficiently capture current–voltage and capacitance–voltage characteristics.
Jaeweon Kang, Johyeon Kim, Sueyeon Kim, Hyunbo Cho, Jongwook Jeon   +4 more
wiley   +1 more source

Self‐Creation of Accelerated Temporal Mirrors

Advanced Physics Research, EarlyView.
The field of temporal analog effects is rapidly emerging and seen as a driver of a paradigm shift in photonics. It promises striking new phenomena but remains experimentally challenging. This work introduces a mechanism that automatically creates a temporal mirror with simple optical means, unlocking practical access to extreme nonlinear dynamics and ...
Oliver Melchert, Surajit Bose, Uwe Morgner, Ihar Babushkin, Ayhan Demircan   +4 more
wiley   +1 more source

Risk‐aware safe reinforcement learning for control of stochastic linear systems

Asian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares   +2 more
wiley   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Applying Machine Learning Methods to Laser Acceleration of Protons: Synthetic Data for Exploring the High Repetition Rate Regime

Contributions to Plasma Physics, EarlyView.
ABSTRACT Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom ...
John J. Felice, Ronak Desai, Nathaniel Tamminga, Joseph R. Smith, Alona Kryshchenko, Chris Orban, Michael L. Dexter, Anil K. Patnaik   +7 more
wiley   +1 more source

From shadows to data: first robust population assessment of snow leopards in Pakistan

Ecography, EarlyView.
The snow leopard Panthera uncia is a flagship species of the greater Himalayan region and symbolizes the integrity of this ecological system. Within the greater Himalayas, Pakistan holds special significance as the north of the country represents a confluence of three major mountain ranges (Hindu Kush, Pamir–Karakoram, and Himalaya).
Muhammad Ali Nawaz, Shoaib Hameed, Jaffar Ud Din, Hussain Ali, Shakeel Ahmad, Ian Durbach, Mehmood Ghaznavi, Mohsin Farooque, Naeem Iftikhar, Muhammad SamarHussain Khan   +9 more
wiley   +1 more source

Analysis of Energy Consumption, Economic Efficiency and Carbon Emissions of Ice Slurry Direct Supply System: A Case Study of China

Energy Science &Engineering, EarlyView.
ABSTRACT Traditional air conditioners suffer from low energy efficiency and exacerbate grid peak loads. While ice storage offers energy‐saving potential, the systematic regulation of ice packing fraction (IPF) on cooling consumption and its synergy with dynamic carbon emissions remains unexplored.
Di Yang, Wenpeng Hong, Xu Jin
wiley   +1 more source

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

InfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim, Shao‐Xiang Go, Qiang Wang, Dong‐Gwan Kim, Chan‐Hwi Baek, Qishen Wang, Tae Hoon Lee, Desmond K. Loke   +7 more
wiley   +1 more source

Farmer‐Led Strategies for Water Conservation in the Urmia Lake Basin, Iran

Irrigation and Drainage, EarlyView.
ABSTRACT This study examines the urgent issues of water scarcity and limited farmer livelihoods in the Urmia Lake basin. To address these challenges, we apply the Governance, Autonomy, Integration, and Needs orientation (GAIN) methodology. Our participatory approach revealed that farmers prioritised actionable measures for water management, yield ...
Sina Besharat, Kamran Zeinalzadeh, Behzad Hessari, Ahmad Alijanpour, Azizeh Alizadeh Berdouki, Farideh Feghhenabi, Esmaeil Rezaei‐Chiyaneh, Hamid Hassanpour, Morteza Molaei, Mohammad Hossein Behroozi, Masoumeh Shadan, Mohamad Kouhani, Bizhan Golzari, Neda Khanmohammadi, Shanay Farazkhah, Ramin Hamidi Khasraqi, Hamed Abasalinezhad, Mahsa Mirdashtvan, Hamed Sabzchi‐Dehkharghani, Aziz Elbehri, Moritz von Cossel   +20 more
wiley   +1 more source

Velocity‐based stowage policy for a semiautomated fulfillment system

Production and Operations Management, EarlyView., 2022
Abstract Online retail fulfillment is increasingly performed by semiautomated fulfillment systems in which inventory is stored in mobile pods that are moved by robotic drives. In this paper, we develop a model that explores the benefits of velocity‐based stowage policies for semiautomated fulfillment systems, also known as robotic mobile fulfillment ...
Tolga Cezik, Stephen C. Graves, Amy C. Liu   +2 more
wiley   +1 more source