most citedDoping graphene with metal contacts

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122 papers · 1 filter

math.OC2022★ 7 cited

Discovering Efficient Periodic Behaviours in Mechanical Systems via Neural Approximators

Yannik Wotte, Sven Dummer, Nicolò Botteghi +3

It is well known that conservative mechanical systems exhibit local oscillatory behaviours due to their elastic and gravitational potentials, which completely characterise these pe…

cs.IT2022★ 9 cited

Towards an Ontology-Driven Approach for Process-Aware Risk Propagation

Gal Engelberg, Mattia Fumagalli, Adrian Kuboszek +3

The rapid development of cyber-physical systems creates an increasing demand for a general approach to risk, especially considering how physical and digital components affect the p…

cs.CR2022★ 1 cited

Backdoor Mitigation in Deep Neural Networks via Strategic Retraining

Akshay Dhonthi, Ernst Moritz Hahn, Vahid Hashemi

Deep Neural Networks (DNN) are becoming increasingly more important in assisted and automated driving. Using such entities which are obtained using machine learning is inevitable:…

cs.PF2022

Queues on interacting networks

Maria Vlasiou

Interacting networks are different in nature to single networks. The study of queuing processes on interacting networks is underdeveloped. It presents new mathematical challenges a…

cond-mat.mtrl-sci2022★ 1 cited

Mechanical response of a thick poroelastic gel in contactless colloidal-probe rheology

Caroline Kopecz-Muller, Vincent Bertin, Elie Raphael +2

When a rigid object approaches a soft material in a viscous fluid, hydrodynamic stresses arise in the lubricated contact region and deform the soft material. The elastic deformatio…

cs.CR2022★ 25 cited

Efficient and Generic Algorithms for Quantitative Attack Tree Analysis

Milan Lopuhaä-Zwakenberg, Carlos E. Budde, Mariëlle Stoelinga

Numerous analysis methods for quantitative attack tree analysis have been proposed. These algorithms compute relevant security metrics, i.e. performance indicators that quantify ho…