Results 141 to 150 of about 113,098 (318)
Measuring electric-acoustic heterodyning in piezoelectric materials. [PDF]
Karpisz T +4 more
europepmc +1 more source
Analysis of power converters with devices of sic for applications in electric traction systems
Efrén Fernández +3 more
openalex +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Application of the Graph Theory in Managing Power Flows in Future Electric Networks
Phuc Hao +5 more
openalex +2 more sources
A microphysiological lung fibrosis model recapitulates myofibroblast–vascular interactions. Induced myofibroblasts and patient‐derived IPF fibroblasts impair angiogenesis and increase vascular permeability via TGF‐β1–driven signaling. Pharmacological interventions with SB 431542 and VEGF supplementation restore vascular morphology and barrier function.
Elena Cambria +7 more
wiley +1 more source
Investigation of Downhole Electric Heating Efficiency in Horizontal Wells for Offshore Heavy Oil Reservoirs: A Wellbore-Reservoir Thermal Coupling Approach. [PDF]
Tian C +5 more
europepmc +1 more source
A unidirectional cerebral organoid–organoid neural circuit is established using a microfluidic platform, enabling controlled directional propagation of electrical signals, neuroinflammatory cues, and neurodegenerative disease–related proteins between spatially separated organoids.
Kyeong Seob Hwang +9 more
wiley +1 more source
Exploring carbon nanotube-copper composites for enhanced induction motor design in electrical vehicles. [PDF]
Akbar H +6 more
europepmc +1 more source
In Situ Study of Resistive Switching in a Nitride‐Based Memristive Device
In situ TEM biasing experiment demonstrates the volatile I‐V characteristic of MIM lamella device. In situ STEM‐EELS Ti L2/L3 ratio maps provide direct evidence of the oxygen vacancies migrations under positive/negative electrical bias, which is critical for revealing the RS mechanism for the MIM lamella device.
Di Zhang +19 more
wiley +1 more source

