Publication

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Publications associées (55)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Machine learning models for prediction of electrochemical properties in supercapacitor electrodes using MXene and graphene nanoplatelets

Graph Chatbot

Chattez avec Graph Search

Adaptive hot water production based on Supervised Learning

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Electrochemical and morphological engineering of 2D materials for nanopore sensing

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity

Machine learning models of the energy curvature vs particle number for optimal tuning of long-range corrected functionals

Electron density learning of non-covalent systems

Automatic L2 Regularization for Multiple Generalized Additive Models

Machine Learning at the Atomic Scale

Machine Learning at the Atomic Scale

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Adaptive hot water production based on Supervised Learning

Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity

Machine learning models of the energy curvature vs particle number for optimal tuning of long-range corrected functionals

Electrochemical and morphological engineering of 2D materials for nanopore sensing

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Electron density learning of non-covalent systems

Machine Learning at the Atomic Scale

Automatic L2 Regularization for Multiple Generalized Additive Models

Machine Learning at the Atomic Scale