Publication

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

Related publications (53)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Graph Chatbot

Chat with Graph Search

Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties

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

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Advancing Computational Chemistry with Stochastic and Artificial Intelligence Approaches

Robustness of Local Predictions in Atomistic Machine Learning Models

The Virtue of Complexity in Return Prediction

Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

Predicting hot-electron free energies from ground-state data

Meta Transfer Learning for Early Success Prediction in MOOCs