Results 211 to 220 of about 18,217 (342)

Editorial. [PDF]

Ultrasound
Griffin CP.
europepmc   +1 more source

Effect of recycling on mechanical and physical properties of polycarbonate/acrylonitrile–butadiene–styrene/poly(methyl methacrylate) (PC/ABS/PMMA) blends

Polymer International, EarlyView.
The 100% recycling of optimal polycarbonate/acrylonitrile–butadiene–styrene/poly(methyl methacrylate) (PC/ABS/PMMA) blends, identified through the mixture design, over multiple successive cycles provides valuable insights into their life cycle. Subsequently, chemical, rheological, thermal and mechanical characterizations will be carried out to evaluate
Rahma Ezzeddine, Karama Elfehri, Ángel Marcos‐Fernández, Basma Samet   +3 more
wiley   +1 more source

Parameter Estimation of Multiphase Induction Machines with Inter-Plane Cross Saturation: Analysis and Improvement

, 2023
Gustaf Falk Olson, Luca Peretti
openalex   +2 more sources

Conjugated Polymers Engineered for Flexible/Stretchable Electronics

Journal of Polymer Science, EarlyView.
This review highlights glass transition temperature (Tg) as the central parameter linking molecular structure to device performance in conjugated polymers. By tuning backbone rigidity, side‐chain architecture, and dynamic bonding, Tg governs the balance between π–π stacking–enabled charge transport and mechanical compliance.
Yunchong Yang, Josh Bass, Weijia Yan, Ashwath Anand, Chunka Zhou, Jingjing Qiu   +5 more
wiley   +1 more source

Model predictive control based MLP-ANN to enhance tracking response with energy saving of EV drive cycles using five-phase IPMSM. [PDF]

PLoS One
Hassan AM, Esmaiel H, Alammar MM, Metwally ME.   +3 more
europepmc   +1 more source

Comparison of machine learning methods for multiphase flowrate prediction [PDF]

, 2019
Zhenyu Jiang, Haokun Wang, Yunjie Yang, Yi Li   +3 more
openalex   +1 more source

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray, Joseph B. Choi, Youngsoo Choi, H. Keo Springer, H. S. Udaykumar, Stephen S. Baek   +5 more
wiley   +1 more source

Hybrid CFD and machine learning analysis of CO₂ enhanced oil recovery in naturally fractured reservoirs. [PDF]

Sci Rep
Asim T, Ur Rahman K, Kukha Hawez H, Mishra R.   +3 more
europepmc   +1 more source

Study of multiphase electricals permanent magnet machines for a bestmanagement of control in faults modes for marine renewable energy systems

, 2017
Ousmane Fall
openalex   +1 more source

Advanced Sliding Mode Estimation for Multiphase Induction Machines

, 2017
Elena Vasquez, Liam Ryder
openalex   +2 more sources