, 2002 This summary is a detailed account of the thesis and it’s step by step processes related to the, study of the concepts regarding the thesis, state-of-the-art technologies, execution, result, ideas and motivations.
Elwakil, Fares
core
Exciton Binding Energy of Phosphorescent Emitter Molecules in Organic Light‐Emitting Diodes
Advanced Functional Materials, EarlyView.Energy level alignment is key to efficient OLED design, yet determining LUMO energies remains challenging. A methodology based on field‐induced dissociation and kinetic Monte Carlo simulations is presented to extract LUMO energies of iridium‐based phosphorescent emitters from their exciton binding energy.
Hiroki Tomita +6 more
wiley +1 more source
Enhanced state of charge estimation in electric vehicle batteries using chicken swarm optimization with open ended learning. [PDF]
Sci RepAfzal MZ, Wen F, Saeed N, Aurangzeb M.
europepmc +1 more source
Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs
Advanced Functional Materials, EarlyView.Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric +8 more
wiley +1 more source
An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks. [PDF]
Sensors (Basel)Pourbunthidkul S +4 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.In the work reported herein, dipole‐engineered sulfonated carbon nanofibers enable conductive additives to actively regulate interphase formation in silicon anodes. Polar sulfonyl groups guide electrolyte decomposition to form a compact LiF‐rich interphase while promoting robust integration with silicon.
Song Kyu Kang +6 more
wiley +1 more source
Deep learning-based state of charge estimation for electric vehicle batteries: Overcoming technological bottlenecks. [PDF]
HeliyonLin SL.
europepmc +1 more source
Advanced Functional Materials, EarlyView.We use scanning nitrogen vacancy magnetometry to directly image the weak in‐plane magnetic moments in mixed phase BiFeO3 at the nanoscale and quantify the local magnetic moments to be 18.8±2.0 μB/nm2 in the rhombohedral‐like phase and 1.5±0.6 μB/nm2 in the well‐known non‐magnetic tetragonal‐like phase.
Lei Wang +14 more
wiley +1 more source
A simulation-driven prediction model for state of charge estimation of electric vehicle lithium battery. [PDF]
HeliyonZhang J, Song C, Xiang J.
europepmc +1 more source
State of Charge Estimation for Batteries
, 2002 In this thesis, a methodology to accurately estimate the state of charge (SOC ) of the batteries used in Hybrid Electric Vehicles (HEV) is proposed. A linear relationship exists between open circuit voltage (VOC ) and SOC .
Vairamohan, Baskar
core