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  • Driscoll, L.S
Showing 1 - 4 results of 4 for search 'Driscoll, L.S', query time: 0.04s Refine Results
  1. 1
    Feature-based lithium-ion battery state of health estimation with artificial neural networks
    Feature-based lithium-ion battery state of health estimation with artificial neural networks
    by de la Torre, S., Driscoll, L., Gomez-Ruiz, J.A
    Published 2022
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  2. 2
    Optimization of alloy composition for high-performance strained-Si-SiGeN-channel MOSFETs
    Optimization of alloy composition for high-performance strained-Si-SiGeN-channel MOSFETs
    by Olsen, Sarah H., O'Neill, A.G, Driscoll, L.S, Chattopadhyay, S., Kwa, K.s.K, Waite, A., Tang, Y.T, Evans, A.G.R, Zhang, Jing
    Published 2004
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  3. 3
    Thermal oxidation of strained Si/SiGe: impact of surface morphology and effect on MOS devices
    Thermal oxidation of strained Si/SiGe: impact of surface morphology and effect on MOS devices
    by Olsen, S.H, O'Neill, A.G, Norris, D.J, Cullis, A.G, Bull, S.J, Chattopadhyay, S, Kwa, K.S.K, Driscoll, L.S, Waite, A.M, Tang, Y.T, Evans, A.G.R
    Published 2004
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  4. 4
    High-Performance nMOSFETs Using a Novel Strained Si/SiGe CMOS Architecture
    High-Performance nMOSFETs Using a Novel Strained Si/SiGe CMOS Architecture
    by Olsen, S.H, O'Neill, A.G, Driscoll, L.S, Kwa, K.S.K, Chattopadhyay, S., Waite, A.M, Tang, Y.T, Evans, A.G.R, Norris, D.J, Cullis, A.G, Paul, D.J, Robbins, D.J
    Published 2003
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Related Subjects

Artificial neural networks Battery management systems Charging (batteries) Data driven Data-driven Digital storage Estimation Estimation models Feature-based Health Ions Learning capabilities Lithium-ion batteries Machine learning Machine learning techniques Microgrid NASA Neural networks Online systems Operation and management Simple++ State of health Storage systems

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