Publication

Controlling motion at the nanoscale with light

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.

Controlling motion at the nanoscale with light

Graph Chatbot

Chat with Graph Search

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Topics in statistical physics of high-dimensional machine learning

Random matrix methods for high-dimensional machine learning models

Residual-based attention in physics-informed neural networks

Predicting the long-term collective behaviour of fish pairs with deep learning

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Partial discharge localization in power transformer tanks using machine learning methods

Robust machine learning for neuroscientific inference

The time-domain Cartesian multipole expansion of electromagnetic fields