Results 111 to 120 of about 316,098 (246)

Fundamentals of Electric Machine Drives

<p>These lecture notes are prepared for the course <em>ELEC-E8405 Electric Drives</em> lectured at the Aalto University, Espoo, Finland.
Harnefors, Lennart, Kukkola, Jarno, Hinkkanen, Marko   +2 more
core   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

High pressure technology in the manufacture of minimally-processed meat products [PDF]

, 2001
End of Project ReportHigh hydrostatic pressure processing was applied to raw minced meat prior to product formulation and the results indicate that with 50 MPa pressure it was possible to reduce the salt in frankfurters from 2.5% to 1.5% without ...
Crehan, Clodagh, Desmond, Eoin, Troy, Declan J., Mullen, Anne Maria   +3 more
core   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source

Covalent Immobilisation of PVA‐MA Hydrogels on Plasma‐Activated Coatings: Achieving Superior Adhesion by Reagent‐Free Formation of a Nanoscale Primer Layer

Advanced NanoBiomed Research, EarlyView.
Robust attachment of hydrogels to solid substrates is critical to success in cell culture where hydrostatic and contractile forces can contribute to delamination of weakly adhered gels. This novel approach forms a nanometer‐scale, reagent‐free hydrogel primer layer to provide improved resistance to delamination of subsequent bulk hydrogel layers in a ...
Sophia C. Franklin, Clara T. H. Tran, Matthew Hadden, David Martinez‐Martin, Laura Poole‐Warren, Marcela M. M. Bilek, Ulises Aregueta Robles, Aaron D. Gilmour   +7 more
wiley   +1 more source

Real‐time monitoring of root dielectric properties for assessing crop plant damage caused by foliar application of glyphosate

Applications in Plant Sciences, EarlyView.
Abstract Premise There is a knowledge gap regarding how foliar injury and restricted water uptake can be detected by measuring root dielectric response. This pot study nondestructively evaluated the efficiency of real‐time dielectric measurement to monitor the effects of glyphosate spraying.
Imre Cseresnyés, Anna Füzy, Tünde Takács   +2 more
wiley   +1 more source

Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications

Advanced Physics Research, EarlyView.
Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu, Zeyu Han, Yueyao Wang, Yitao Yu, Mingyang Yin, Yikang Jin, Yongjun Huo, Lihong Gao, Zhuang Ma, Gang Zhang, Miao Jiang   +10 more
wiley   +1 more source

Comparative performance analysis of VSI and CSI supply solutions for high power multi-phase synchronous motor drives

, 2008
In today’s high-power electrical drives using synchronous machines, voltage source inverters (VSI) based on multilevel PWM technology and current source inverters (CSI) based on load commutated operation are the most important alternatives for motor ...
CASTELLAN, Simone, TESSAROLO, ALBERTO, S. Castellan, G. Sulligoi, SULLIGOI, GIORGIO, A. Tessarolo   +5 more
core   +1 more source

Mechanistic models for intermittent haemodialysis and haemodiafiltration clearance

British Journal of Clinical Pharmacology, EarlyView.
Haemodialysis has been used clinically for more than 70 years, but data regarding the clearance of medicines during dialysis are often based on studies with outdated, less efficient dialysers. Moreover, dialysis clearance is still frequently estimated using empirical approaches which lack mechanistic interpretability, are not readily generalizable ...
Laila Nassar, Nick Holford, Daniel Kurnik   +2 more
wiley   +1 more source