Results 71 to 80 of about 69,679 (307)

A Machine Learning Solution for Data Center Thermal Characteristics Analysis

Energies, 2020
The energy efficiency of Data Center (DC) operations heavily relies on a DC ambient temperature as well as its IT and cooling systems performance. A reliable and efficient cooling system is necessary to produce a persistent flow of cold air to cool ...
Anastasiia Grishina, Marta Chinnici, Ah-Lian Kor, Eric Rondeau, Jean-Philippe Georges   +4 more
doaj   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Synchronous mode operation in electrical machine with DC stator excitation

, 2013
In transport applications, the synchronous motors are used for the power drives, because of their high operating efficiency, and controllable power factor.
Okrainskaya I., Gladyshev S.P.
core   +1 more source

Research on Large-Signal Stability Assessment Methods of DC Microgrids Based on Artificial Intelligence

发电技术
ObjectivesDC microgrids are prone to the issue of large-signal stability due to the low inertia and constant power load characteristics. Traditional model-based methods involve complex calculations and are difficult to solve.
LIU Sucheng, LUAN Li, LI Long, HONG Tao, LIU Xiaodong   +4 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Applying Machine Learning–Based Approaches Using Experimental Data to Model DC Series Arc Fault in Photovoltaic Systems

International Transactions on Electrical Energy Systems
DC series arc faults (DC SAF) in photovoltaic (PV) systems can lead to electrical fires and electric shock hazards. Therefore, DC SAF modeling and detection is a significant process for ensuring the safety of PV panels and is necessary for producing PV ...
Masoud Jalil, Haidar Samet, Teymoor Ghanbari   +2 more
doaj   +1 more source

Electrocapillary Modulated Interfacial Tension Amplifies Liquid Metal Transduction

Advanced Functional Materials, EarlyView.
This study presented an electrocapillary‐enhanced magnetohydrodynamic pumping strategy that harnesses the Lorentz force and interfacial tension modulation of liquid metal droplets to achieve amplified fluidic power. The system enabled low‐voltage, self‐oscillating fluidic transduction with enhanced pressure and flow generation, supporting compact ...
Saba Firouznia, Ciqun Xu, Michael D. Dickey, Jonathan Rossiter   +3 more
wiley   +1 more source

Flier for a concert featuring Jawbox, Tar, Candy Machine, Heroin, and Universal Order of Armageddon at St. Stephen's Church, August 7, 1993

, 2015
Flier for a concert featuring Jawbox (from Washington, DC), Tar (from Chicago, IL), Candy Machine (from Baltimore, MD), Heroin (from San Diego, CA) and Universal Order of Armageddon (from Annapolis, MD) at St.

core  

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

A Novel Control Strategy for an Interior Permanent Magnet Synchronous Machine of a Hybrid Hydraulic Excavator

IEEE Access, 2018
A hybrid power train system, which uses an electric machine to balance fluctuations of a load, is a practicable method to improve the efficiency of hydraulic excavators.
Qihuai Chen, Tianliang Lin, Haoling Ren
doaj   +1 more source