Results 71 to 80 of about 3,183,117 (293)

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

A 3D printing approach to microfluidic devices for enhanced oil recovery research: An updated perspective

Petroleum Research
Reservoir simulation uses numerical models to study how reservoir properties impact oil recovery. However, numerical modelling is insufficient and is often paired with physical simulation, where physical models are used to verify and improve simulation ...
Chantal T. Tracey, Egor O. Ryabchenko, Mariia A. Moshkova, Pavel V. Krivoshapkin, Elena F. Krivoshapkina   +4 more
doaj   +1 more source

Microscale Patterning of Ultrahigh‐Viscosity Metallic‐Polymer Composites via Embedded Droplet Writing

Advanced Functional Materials, EarlyView.
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon, Jian Ni, Sungmo Park, Yang Xu, Yong Chen   +4 more
wiley   +1 more source

Reservoir computing with output feedback [PDF]

, 2011
Reinhart RF. Reservoir computing with output feedback. Bielefeld: Bielefeld University; 2011.A dynamical system approach to forward and inverse modeling is proposed. Forward and inverse models are trained in associative recurrent neural networks that are
Reinhart, René Felix, Reinhart, Felix
core   +1 more source

New progresses and development directions of reservoir numerical simulation technology in Shengli Oilfield

Youqi dizhi yu caishoulu
Reservoir numerical simulation technology is an important means of reservoir analysis， and it is a powerful tool for oilfield developers to design development schemes， proceed with dynamic tracking adjustment， and enhance oil recovery of reservoirs.
YU Jinbiao, HU Huifang, MENG Wei, DONG Yajuan, SHI Jinghua, DUAN Min, HOU Yupei, ZHENG Naiyuan   +7 more
doaj   +1 more source

A framework for subsurface monitoring by integrating reservoir simulation with time-lapse seismic surveys. [PDF]

Sci Rep, 2023
van IJsseldijk J, Hajibeygi H, Wapenaar K.   +2 more
europepmc   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

A Holistic Platform Approach for Developing Robust Pulmonary mRNA Delivery: Integrating Novel Phenolic Acid‐Derived Ionizable Lipids and Device Engineering

Advanced Functional Materials, EarlyView.
An integrated pulmonary mRNA delivery platform combining novel biodegradable syringic acid‐derived ionizable lipids, design‐of‐experiments formulation optimization, and vibrating‐mesh nebulizer engineering enabled stable aerosolization and efficient lung delivery.
Neha Kaushal, Younan Ma, Asad Khanmohammed, Dipen Parande, Hanming Zhang, Saket Dolare, Juliet Chen, Apiwat Wangweerawong, Saswata Karmakar, Hongfeng Deng, Frank Koppenhagen, Shraddha Sharma, Eric Reyes, Sherry He, Lianne Boeglin, Caroline Woo, Azadeh Paksa, Ayed Allawzi, Anusha Dias, Gregory Troiano, Shrirang Karve, Frank DeRosa   +21 more
wiley   +1 more source

Interactions between antibiotic resistance genes and soil environmental factors: Coupling, antagonism, and synergism

Emerging Contaminants
The soil environment is crucial for maintaining the stability of ecosystems and the health of organisms. Due to the extensive use of antibiotics, antibiotic resistance genes (ARGs) have become pervasive soil contaminants.
Ling Wang, Xuefan Gu, Kunlong Hui, Tingqiao Yu, Ying Yuan, Gang Chen, Wenbing Tan   +6 more
doaj   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source