6 citations · 8 across the 5 of their papers we have counts for
5 papers
Unconventional band structure via combined molecular orbital and lattice symmetries in a surface-confined metallated graphdiyne sheet
Ignacio Piquero-Zulaica, Wenqi Hu, Ari Paavo Seitsonen +13
Graphyne (GY) and graphdiyne (GDY)-based materials represent an intriguing class of two-dimensional (2D) carbon-rich networks with tunable structures and properties surpassing thos…
On-Surface Carbon Nitride Growth from Polymerization of 2,5,8-Triazido-s-heptazine
Matthias Krinninger, Nicolas Bock, Sebastian Kaiser +8
Carbon nitrides have recently come into focus for photo- and thermal catalysis, both as support materials for metal nanoparticles as well as photocatalysts themselves. While many a…
Scaling up Stochastic Gradient Descent for Non-convex Optimisation
Saad Mohamad, Hamad Alamri, Abdelhamid Bouchachia
Stochastic gradient descent (SGD) is a widely adopted iterative method for optimizing differentiable objective functions. In this paper, we propose and discuss a novel approach to…
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations
Jacqueline Wastensteiner, Tobias M. Weiss, Felix Haag +1
Machine learning (ML) methods can effectively analyse data, recognize patterns in them, and make high-quality predictions. Good predictions usually come along with "black-box" mode…
Augmented cross-selling through explainable AI -- a case from energy retailing
Felix Haag, Konstantin Hopf, Pedro Menelau Vasconcelos +1
The advance of Machine Learning (ML) has led to a strong interest in this technology to support decision making. While complex ML models provide predictions that are often more acc…