Results 141 to 150 of about 816,103 (361)

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Goal-orientated Functional Rehabilitation using Electrical Stimulation and Iterative Learning Control for Motor Recovery in the Upper Extremity Post-Stroke.

, 2013
There is increasing evidence that electrical stimulation (ES) combined with task specific training is effective in the recovery of upper extremity dysfunction following stroke.
Freeman, Christopher T., Hallewell, Emma, Hallewell, E., Meadmore, K.L ., Hughes, A. M., Exell, T., Hughes, Ann Marie, Hughes, Ann-Marie, Burridge, J.H., Kutlu, Mustafa, Freeman, C., Meadmore, K. L., Kutlu, M., Hughes, A-M., Meadmore, Katie L., Burridge, J., Burridge, J. H., Excell, T., Freeman, C.T., Meadmore, K.   +19 more
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Efficacy of Iterative Learning Control for Stroke Rehabilitation

, 2009
Strokes affect between 174 and 216 people per 100 000 population in the UK each year. Approximately two-thirds of patients in England will survive their stroke; of the 900 000 stroke survivors, 50 per cent are disabled and dependent.
Lewin, P, Donovan-Hall, M, Dibb, Bridget, Freeman, C, Chappell, Paul, Burridge, Jane, Lewin, Paul, Chappell, P, Hughes, Ann-Marie, Hughes, AM, Dibb, B, Rogers, E, Freeman, Christopher, Burridge, J, Donovan-Hall, Maggie, Rogers, Eric   +15 more
core   +1 more source

The Driving Waveform Design Method of Power-Law Fluid Piezoelectric Printing Based on Iterative Learning Control. [PDF]

Sensors (Basel), 2022
Peng J, Huang J, Wang J, Meng F, Gong H, Ping B.   +5 more
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Biologically Inspired Optimal Terminal Iterative Learning Control for the Swing Phase of Gait in a Hybrid Neuroprosthesis: A Modeling Study. [PDF]

Bioengineering (Basel), 2022
Makowski NS, Fitzpatrick MN, Triolo RJ, Reyes RD, Quinn RD, Audu M.   +5 more
europepmc   +1 more source

Estimation-based iterative learning control.

, 2011
Denna avhandling behandlar reglering genom iterativ inlärning, ILC  (från engelskans iterative learning control). Metoden har sitt  ursprung i industrirobottillämpningar där en robot utför samma  rörelse om och om igen. Ett sätt att kompensera för felen är genom  en ILC-algoritm som beräknar en korrektionssignal, som läggs på  systemet i nästa ...
openaire   +3 more sources

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Design and experimental evaluation of iterative learning controllers on a multivariable test facility

, 2013
Iterative learning control (ILC) algorithms are employed in many applications, especially these involving single-input and single-output plants undertaking repeated tasks with finite-time interval.
Dinh Van, Thanh
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