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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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Physics-Inspired Structural Representations for Molecules and Materials

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

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

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

Physics-Inspired Structural Representations for Molecules and Materials

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

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

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

Hands-on reservoir computing: a tutorial for practical implementation

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