Results 131 to 140 of about 283,862 (317)

Electrode and Microstructure Dependence of Oxygen Diffusion in Ferroelectric Hafnium Zirconium Oxide Thin Films

Advanced Functional Materials, EarlyView.
Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg, Thomas W. Pfeifer, Chuanzhen Zhou, Yong Kyu Choi, Duk‐Hyun Choe, Patrick E. Hopkins, Jon F. Ihlefeld   +6 more
wiley   +1 more source

Building and smart grids: factors to consider [PDF]

, 2015
[ES] En los últimos años se está fomentando las nuevas tecnologías y soluciones para el mejor uso y optimización de las instalaciones existentes, mejora en la comunicación, control de generadores y cargas energéticas y nuevos ...
Teruel Avinent, Pablo, Cárcel-Carrasco, Javier   +1 more
core  

Lagrangian Particle Tracking on Large Unstructured Three-Dimensional Meshes

, 2008
A prerequisite for the prediction of ice accretion on an aircraft flying through clouds of supercooled liquid water is the accurate determination of the water impingement rate on various components of the aircraft.
Joerg Meyer, Markus Widhalm, Meyer, Joerg, Ronzheimer, Arno, Arno Ronzheimer, Widhalm, Markus   +5 more
core   +1 more source

A Methodology for Rating Electricity Transmission Lines to Assess the Most Important or Critical Lines

Applied Sciences
The proposed method, based on three combined criteria—Sn—design capacity of the power line, LF, (line flow)—power flow in an electric transmission line, MVA, and the ratio of LF/Sn—allows for ranking electric transmission lines when calculations are ...
Artūras Trukšinas, Virginijus Radziukynas, Gediminas Kairaitis   +2 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

Climate Finance Principles : Annex 1 : The case of the Dominican Republic

Drawing on the Dominican Republic’s participation in the Accelerating the Coal Transition (ACT) programme and its National Energy Plan, the case study examines the country’s macroeconomic context, the high carbon intensity of its electricity grid, and ...
Green Grids Initiave
core  

Towards a powerful European DCI based on desktop grids

, 2011
Service Grids like the EGEE Grid can not provide the required number of resources for many VOs. Therefore extending the capacity of these VOs with volunteer or institutional desktop Grids would significantly increase the number of accessible computing ...
A. Cs. Marosi, Kovacs, J., Z. Balaton, Kacsuk, P., Farkas, Z., Balaton, Z., Marosi, C., Z. Farkas, P. Kacsuk, J. Kovacs   +9 more
core   +1 more source

Resolving the Cu(bdc) Conundrum: Identifying Non‐Porous Packing of Prototypical Coordination‐Network Thin Films Combining Advanced Diffraction Techniques and Computational Modelling

Advanced Functional Materials, EarlyView.
Solution‐processed Cu(bdc) forms prototypical MOF thin films for which a multitude of not fully satisfactory structural models have been suggested. Combining rotating grazing‐incidence diffraction and X‐ray reflectivity on two complementary samples with density‐functional theory, we first discard the previously suggested models and then identify a non ...
Narges Taghizade, Mario Fratschko, Robbin Steentjes, Mercedes Linares‐Moreau, Paolo Falcaro, Christof Wöll, Roland Resel, Egbert Zojer   +7 more
wiley   +1 more source

Scalable reinforcement learning for large-scale coordination of electric vehicles using graph neural networks

Communications Engineering
As the adoption of electric vehicles (EVs) accelerates, addressing the challenges of large-scale, city-wide optimization becomes critical in ensuring efficient use of charging infrastructure and maintaining electrical grid stability.
Stavros Orfanoudakis, Valentin Robu, E. Mauricio Salazar, Peter Palensky, Pedro P. Vergara   +4 more
doaj   +1 more source

Life-Cycle Cost–Optimal Right-Sizing and Replacement Assessment of Distribution Transformers Under Demand Uncertainty

Energies
This paper presents a scenario-based optimization framework for evaluating the life-cycle cost of right-sizing and replacement timing for distribution transformers under demand–growth uncertainty.
Jorge Muñoz-Pilco, Milton Ruiz, Cristian Cuji, Edwin García   +3 more
doaj   +1 more source