Results 251 to 260 of about 2,076,992 (352)

Temporally Delayed Deployment of Photo‐Responsive Liquid Crystal Polymer Networks Toward Neural Interfaces

Advanced Healthcare Materials, EarlyView.
Deployable medical devices typically need external stimuli to trigger deployment. However, external stimuli are difficult to supply within tissues. Here, we describe a strategy to deploy small‐scale structures into soft tissues after insertion without the need for any stimulus. We demonstrate deployment within a tissue phantom.
Yeh‐Chia Tseng, Eleanor Nguyen Jeakle, Mahjabeen Javed, Rajasree Gopala Krishnan, Thomas J. Smith, Yoo Jin Lee, Sahana Dhananjayan, Sasha M. George, Manivannan Sivaperuman Kalairaj, Ali Hasan Zuaiter, Majed O. Althumayri, Hatice Ceylan Koydemir, Joseph J. Pancrazio, Taylor H. Ware   +13 more
wiley   +1 more source

Sequential model predictive direct speed control of PMSM. [PDF]

Sci Rep
Pancurák L, Horváth K, Kyslan K.
europepmc   +1 more source

A Physiological Microfluidic Blood–Brain‐Barrier Model for In Vitro Study of Nanoparticle Trafficking and Accumulation

Advanced Healthcare Materials, EarlyView.
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen, Neona M. Lowe, Sophia Kellogg, Kuan‐Wei Huang, Hannah O'Toole, Elizabeth J. Hale, Venktesh S. Shirure, Bhupinder S. Shergill, Steven C. George, Randy P. Carney   +9 more
wiley   +1 more source

Modified prioritized DDPG algorithm for joint beamforming and RIS phase optimization in MISO downlink systems. [PDF]

Sci Rep
Shukry S, Fahmy Y.
europepmc   +1 more source

Prediction of fluid-particle dynamics and performance in fibrous filters obtained from X-ray CT using convolutional neural network and discrete phase model

Kodai Hada, Mohammadreza Shirzadi, Tomonori Fukasawa, Kunihiro Fukui, Toru Ishigami   +4 more
openalex   +1 more source

Unravelling the Atomic Structure of a Metal‐Covalent Organic Framework Assembled from Ruthenium Metalloligands

Advanced Materials, Volume 37, Issue 13, April 2, 2025.
Metal‐covalent organic frameworks (MCOFs) are novel porous materials that exhibit the advantages of covalent and metal‐organic frameworks. However, it is extremely difficult to resolve their atomic structure and better understand their structure‐properties relation. This work utilizes a synergistic combination of advanced microscopy, spectroscopic, and
Seán Hennessey, Roberto González‐Gómez, Nicolás Arisnabarreta, Anna Ciotti, Jing Hou, Nadezda V. Tarakina, Andrey Bezrukov, Kunal S. Mali, Michael Zaworotko, Steven De Feyter, Max García‐Melchor, Pau Farràs   +11 more
wiley   +1 more source

Single-phase full-bridge inverter control based on discrete adaptive sliding mode algorithm with error compensation. [PDF]

PLoS One
Zhang Y, Tang Z, Xu F, Zhou K, Yang K.
europepmc   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Adaptive multi-mode locomotion for bipedal wheel-legged robots via sparse mixture-of-experts deep reinforcement learning. [PDF]

Front Robot AI
He P, Zhao Z, Duan S, Wang P, Lei H.
europepmc   +1 more source