:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nabil, Mahmoud, Grau-García, Isel, Grau-Crespo, Ricardo, Hamad, Said, Anta, Juan A.
Format:	Preprint
Published:	2025
Subjects:	Applied Physics
Online Access:	https://arxiv.org/abs/2511.06929
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning
by: Mahmoud Nabil, et al.
Published: (2026)

Backpropagation through Time Algorithm for Training Recurrent Neural Networks using Variable Length Instances
by: Isel Grau
Published: (2013)

Mutating HIV Protease Protein Using Ant Colony Optimization and Fuzzy Cognitive Maps: Drug Susceptibility Analysis
by: Isel Grau
Published: (2014)

Aplicación de sistemas neuroborrosos a problemas de resistencia antiviral del VIH
by: Isel Grau García
Published: (2012)

vasp-mace: a VASP simulator based on the MACE machine-learning interatomic potential
by: Grau-Crespo, Ricardo
Published: (2026)

vasp-mace: a VASP-style workflow interface for MACE machine-learning interatomic potentials
by: Grau-Crespo, Ricardo
Published: (2026)

vasp-mace: a VASP-style workflow interface for MACE machine-learning interatomic potentials
by: Grau-Crespo, Ricardo
Published: (2026)

Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning
by: Bastawrous, Mary V., et al.
Published: (2024)

Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors
by: Huang, Xiang, et al.
Published: (2023)

Robust interpretation of electrochemical impedance spectra using numerical complex analysis
by: George, Jithin D., et al.
Published: (2025)

The Case for Space-Based Particle Colliders: Orbital Infrastructure as a Path to Grand Unification Energy Scales
by: Danchev, Viktor, et al.
Published: (2026)

Real time detection of C reactive protein in interstitial fluid using electrochemical impedance spectroscopy, towards wearable health monitoring
by: Grammoustianou, Aristea, et al.
Published: (2024)

Application of interpretable machine learning for cross-diagnostic inference on the ST40 spherical tokamak
by: Pyragius, Tadas, et al.
Published: (2024)

Boosting Perovskite Solar Cell Stability: Dual Protection with Ultrathin Plasma Polymer Passivation Layers
by: Nabil, Mahmoud, et al.
Published: (2024)

Review on physical impedance models in perovskite solar cells
by: Goyal, Rajat Kumar, et al.
Published: (2024)

The nature of silicon PN junction impedance at high frequency
by: van Nijen, David A., et al.
Published: (2024)

Remote-sensing based control of 3D magnetic fields using machine learning for in-operando applications
by: Sandoval, Miguel A. Cascales, et al.
Published: (2024)

Concept Inconsistency in Dermoscopic Concept Bottleneck Models: A Rough-Set Analysis of the Derm7pt Dataset
by: Nápoles, Gonzalo, et al.
Published: (2026)

Two‐Dimensional Carreau Law for a Quasi‐Newtonian Fluid Flow Through a Thin Domain With a Slightly Rough Boundary
by: María Anguiano, et al.
Published: (2026)

PINK: physical-informed machine learning for lattice thermal conductivity
by: Liu, Yujie, et al.
Published: (2025)

A fast sound power prediction tool for genset noise using machine learning
by: Pargal, Saurabh, et al.
Published: (2025)

Non-dispersive graded impedance acoustic lenses
by: Cominelli, Sebastiano
Published: (2025)

All-optical autoencoder machine learning framework using linear diffractive processors
by: Feng, Peijie, et al.
Published: (2024)

Nanodiamond quantum thermometry assisted with machine learning
by: Yamamoto, Kouki, et al.
Published: (2025)

Accurate ignition detection of solid fuel particles using machine learning
by: Li, Tao, et al.
Published: (2023)

Broadband CPW-based impedance-transformed Josephson parametric amplifier
by: Qing, Bingcheng, et al.
Published: (2023)

Temporal metamaterials with passive switching as impedance-matched absorbers
by: İplikçioğlu, Suat Barış
Published: (2026)

In-memory phononic learning toward cognitive mechanical intelligence
by: Zhang, Yuning, et al.
Published: (2025)

Missing links prediction: comparing machine learning with physics-rooted approaches
by: Santucci, Francesca, et al.
Published: (2026)

Constriction and contact impedance of ceramic solid electrolytes
by: Limon, Md Salman Rabbi, et al.
Published: (2024)

Transforming physics-informed machine learning to convex optimization
by: Yi, Letian, et al.
Published: (2025)

Intelligent mechanical metamaterials towards learning static and dynamic behaviors
by: Chen, Jiaji, et al.
Published: (2024)

A broadband solid impedance transformer for acoustic transmission between water and air
by: Yekta, Hesam Bakhtiary, et al.
Published: (2025)

Quantum machine learning for multiclass classification beyond kernel methods
by: Ding, Chao, et al.
Published: (2024)

Modelling of nucleate pool boiling on coated substrates using machine learning and empirical approaches
by: Kuberan, Vijay, et al.
Published: (2024)

A complimentary impedance spectroscopy biosensing method with graphene
by: Khan, Munis, et al.
Published: (2025)

A DEM-driven machine learning framework for abrasive wear prediction
by: Chandan, Prassana, et al.
Published: (2025)

The effect of dataset size and the process of big data mining for investigating solar-thermal desalination by using machine learning
by: Peng, Guilong, et al.
Published: (2023)

Low-characteristic-impedance superconducting tadpole resonators in the sub-gigahertz regime
by: Rasola, Miika, et al.
Published: (2024)

Optical to infrared mapping of vapor-to-liquid phase change dynamics using generative machine learning
by: Khodakarami, Siavash, et al.
Published: (2025)