Dyadic Green's functions of a graphene layer and their efficient calculation

Juan Ramon Mosig, Michael Mattes, Ioannis Koufogiannis
2013
Conference Papers

Official source

About
Privacy
Disclaimer

Graph Chatbot

Juan Ramon Mosig, Michael Mattes, Ioannis Koufogiannis
2013
Conference Papers

Official source

Related publications (5)

https://infoscience.epfl.ch/entities/publication/56cde55f-1edb-4342-a834-3c801c6ec929

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related publications (5)

The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents

Lenka Zdeborová, Florent Gérard Krzakala, Yatin Dandi, Emanuele Troiani, Luca Pesce, Luca Arnaboldi

We investigate the training dynamics of two-layer neural networks when learning multi-index target functions. We focus on multi-pass gradient descent (GD) that reuses the batches multiple times and show that it significantly changes the conclusion about wh ...

JMLR2024

Some Like It Flat: Decoupled h-BN Monolayer Substrates for Aligned Graphene Growth

Silvan Dino Marcos Roth

On the path to functional graphene electronics, suitable templates for chemical vapor deposition (CVD) growth of high -mobility graphene are of great interest. Among various substrates, hexagonal boron nitride (h-BN) has established itself as one of the mo ...

Amer Chemical Soc2016

Exact simulation of max-stable processes

Sebastian Engelke

Max-stable processes play an important role as models for spatial extreme events. Their complex structure as the pointwise maximum over an infinite number of random functions makes their simulation difficult. Algorithms based on finite approximations are o ...

Oxford University Press2016