Results 121 to 130 of about 247,001 (308)

A Dual‐Ion Multiphysics Model for Smart and Sustainable Sensors Based on Bacterial Cellulose

Advanced Intelligent Systems, EarlyView.
Bacterial cellulose (BC), functionalized with ionic liquids (ILs) and conductive polymers, offers promise for sustainable sensor applications. To enable real‐world integration, this work presents the first dual‐carrier, multiphysics white‐box model of mechanoelectric transduction in BC–IL sensors, combining mechanical deformation and ion transport ...
Francesca Sapuppo, Giovanna Di Pasquale, Salvatore Graziani, Sara Sadat Hosseini, Luca Patané, Antonino Pollicino, Carlo Trigona, Maria Gabriella Xibilia   +7 more
wiley   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Perverse Sheaves on the Nilpotent Cone and Lusztig's Generalized Springer Correspondence [PDF]

, 2016
In this note, we consider perverse sheaves on the nilpotent cone. We prove orthogonality relations for the equivariant category of sheaves on the nilpotent cone in a method similar to Lusztig's for character sheaves.
Rider, Laura, Russell, Amber
core  

Proper Generalized Decomposition of LCM Models

, 2010
Simulation of RTM processes is usually performed in 2D. Thus, only a mesh of the middle plane is needed with the associated degrees of freedom savings with respect to fully 3D modeling. However such modeling needs the definition of an equivalent in-plane permeability representing the ignored dimension (the thickness).
Chinesta, Francisco, Leygue, Adrien, Poitou, Arnaud, Chatel, Sylvain, Garcia, Juan Antonio, Gascon, Llanos   +5 more
openaire   +1 more source

3D modeling of the vane test on a power-law cement paste by means of the proper generalized decomposition [PDF]

, 2017
The effective modeling of the flow of fresh concrete materials in settings such as that of the vane test is a challenging process that is the object of ongoing research.
Ghnatios, Chady, Zehil, Gerard-Philippe
core  

Transient Structural Analysis with Proper Generalized Decomposition

Abstract The design of high-temperature rotating machinery, such as aero engines and gas turbines, requires precise stress evaluation under transient conditions to ensure structural reliability. Despite advances in computational techniques, transient structural analysis remains computationally intensive, posing challenges to efficient ...
Tomohiro Ishida, Hiroshi Ito, Kenjiro Terada   +2 more
openaire   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

Advanced Intelligent Systems, EarlyView.
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong, Jungjae Lee, Byung‐Hyun Song, Yong‐Lae Park   +3 more
wiley   +1 more source

A Proper Generalized Decomposition for the solution of elliptic problems in abstract form by using a functional Eckart-Young approach [PDF]

, 2011
International audienceThe Proper Generalized Decomposition (PGD) is a methodology initially proposed for the solution of partial dierential equations (PDE) dened in tensor product spaces.
Falco, Antonio, Nouy, Anthony
core   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source