Results 121 to 130 of about 1,905,573 (291)

Advanced Materials for Biologics Delivery to Brain Tumors

Advanced Materials, EarlyView.
Material innovation is central to unlocking the therapeutic potential of biologics against many central nervous system diseases, including brain cancer. By engineering carriers with controlled transport, targeting, and release properties, advanced materials can overcome the blood–brain barrier and tumor microenvironment, improving the delivery of ...
Yuran Feng, Yuxue Cao, Maria Kavallaris, Taskeen Janjua, Amirali Popat   +4 more
wiley   +1 more source

Multi‐Stimuli Responsive Angstrom‐Scale Two‐Dimensional Channels of Natural Layered Materials

Advanced Materials, EarlyView.
Å‐scale ion channels naturally formed within the interlayers of vermiculite clay enable ionic current modulation in response to mechanical, chemical, and electrical stimuli. Coupled pressure and electric fields induce reversible streaming current (Istream) polarity inversion, which is explained by a modified surface charge regulation model.
Raj Kumar Gogoi, Arghyadeep Paul, Ankit Bhardwaj, Hiran Jyothilal, Narayana R. Aluru, Boya Radha   +5 more
wiley   +1 more source

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

Advanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris, Johannes Hellwig, Hugh Greatorex, Clemens Wittberg, Panagiotis Koutsogiannis, César Magén, Elisabetta Chicca, Regina Dittmann   +7 more
wiley   +1 more source

Ensemble learning-based prediction model for oil and gas reservoir value in Mahu Sag

Youqicang pingjia yu kaifa
The Mahu oilfield, located in the northwestern part of the Junggar Basin in Xinjiang, is one of the largest conglomerate oilfields in the world, with reserves exceeding 1 billion tons.
YUAN JING, JIA LU, XU GUOJIAN, AI MIN, LI SIXU   +4 more
doaj  

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Determinação de propriedades petrofísicas de rochas reservatórios usando modelos de redes de poros [PDF]

, 2014
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-graduação em Ciências e Engenharia de Materiais, Florianópolis, 2014A pesquisa na área de produção de petróleo tem como principal objetivo otimizar a ...
Kronbauer, Denise Prado
core  

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

Prediction of formation damage in fractured tight reservoirs based on machine learning

Journal of Engineering and Applied Science
Reservoir damage incurred during oil and gas drilling operations will significantly reduce hydrocarbon productivity. Consequently, accurate prediction of reservoir damage severity before drilling operations is crucial for designing and deploying ...
Jianli Yu, Xiaoxia Ren, Lun Xie, Lei Wang   +3 more
doaj   +1 more source

Cellulose Surface Modification Effects on Equilibrium and Non‐Equilibrium Wetting by Water

Advanced Materials Interfaces, EarlyView.
Molecular dynamics simulations of nanometer‐sized water droplets spreading on cellulose substrates show strong effects from surface chemistry on both equilibrium contact angles and spreading dynamics. ABSTRACT Chemical modification is an important route to tuning interactions between nanocellulose and its surrounding media. Specifically, it affects the
Jakob Wohlert, Lars Berglund
wiley   +1 more source

Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering

Advanced Materials Technologies, EarlyView.
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch, Atmika Bhardwaj, Mirko Nitschke, Ilka Hermes, Andreas Fery, Anett Müller, Marco Werner, André Knapp   +7 more
wiley   +1 more source