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

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

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

Random matrix methods for high-dimensional machine learning models

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

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Impact of quantum-chemical metrics on the machine learning prediction of electron density

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Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Physics-Inspired Structural Representations for Molecules and Materials

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Random matrix methods for high-dimensional machine learning models

Physics-enhanced machine learning with symmetry-adapted and long-range representations

Physics-Inspired Structural Representations for Molecules and Materials

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

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Multi-ion-sensing emulator and multivariate calibration optimization by machine learning models

Linear Recursive State Estimation of Hybrid and Unbalanced AC/DC Micro-Grids using Synchronized Measurements

Hands-on reservoir computing: a tutorial for practical implementation

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

Impact of quantum-chemical metrics on the machine learning prediction of electron density