Echo State Queueing Network: a new reservoir computing learning tool
In the last decade, a new computational paradigm was introduced in the field of Machine Learning, under the name of Reservoir Computing (RC). RC models are neural networks which a recurrent part (the reservoir) that does not participate in the learning ...
Basterrech, Sebastián, Rubino, Gerardo
core +3 more sources
Curvature‐Tuned Friction at Electrified Ionic Liquid Interfaces
Graphene curvature plays a key role in friction electrotunability at single‐asperity contacts lubricated by ionic liquids. A 9 nm radius yields stronger tunability than larger radii, with distinct friction coefficients at low and high loads indicating a shift in the slippage plane.
Wei Song +6 more
wiley +1 more source
Diagenetic Control of Reservoir Performance and Its Implications for Reservoir Prediction in Jinci Sandstone of Upper Carboniferous in the Middle East Ordos Basin. [PDF]
Hu Y, Guo Y, Qing H, Zhang J.
europepmc +1 more source
How to Model Condensate Banking in a Simulation Model to Get Reliable Forecasts? Case Story of Elgin/Franklin [PDF]
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Martinez, Lionel, Martinez, Lionel
core
High‐Throughput Exfoliation of Optoelectronic‐Grade MoS2 via Turbulent‐Flow Wet Jet Milling
A scalable wet jet milling exfoliation method is demonstrated for producing optoelectronic‐grade MoS2 nanosheets using environmentally friendly ethyl cellulose in ethanol dispersion media. Guided by fluid dynamics modeling, this approach is optimized to achieve record‐high exfoliation throughput and concentration.
Maryam Khalaj +7 more
wiley +1 more source
4D Seismic History Matching Incorporating Unsupervised Learning
The work discussed and presented in this paper focuses on the history matching of reservoirs by integrating 4D seismic data into the inversion process using machine learning techniques.
Etienam, Clement
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This paper presents a novel approach that aims to predict better reservoir quality regions from seismic inversion and spatial distribution of key reservoir properties from well logs.
Zhang Qiang +3 more
semanticscholar +1 more source
Microfluidic Modeling of Macrophage‐Induced Cardiac Inflammation Using NF‐κB Reporter Cardiomyocytes
A cardiac inflammation model was developed to enable real‐time analysis of macrophage‐cardiomyocyte interactions using NF‐κB‐reporter cardiomyocytes and a microfluidic co‐culture system. A MATLAB‐based model was implemented to optimize cell density and medium resupply based on TNFα diffusion kinetics. Activation thresholds and stress responses in NF‐κB‐
Chao Liu +6 more
wiley +1 more source
The last decade has seen a surge of interest in adaptive learning algorithms for data stream classification, with applications ranging from predicting ozone level peaks, learning stock market indicators, to detecting computer security violations.
Paquet, Eric +2 more
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Fluid Forces Control Structural Remodeling of Blind‐Ended Lymphatic Microvessels
Using innovative microfluidic biofabrication with fluid mechanical insights, we recapitulated the blind‐ended microanatomy and physiological drainage properties of capillary lymphatics. Our results reveal the interrelationship between intra‐ and extraluminal regions of lymphatic vessels due to flow‐induced sprouting and morphological changes that ...
Jacob C. Holter +5 more
wiley +1 more source

