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20162022
most citedContact-Induced Semiconductor-to-Metal Transition in Single-Layer WS

42 citations · 82 across the 3 of their papers we have counts for

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5 papers · 1 filter

cond-mat.mtrl-sci202036 cited

Atomistic Structure Learning Algorithm with surrogate energy model relaxation

Henrik Lund Mortensen, Søren Ager Meldgaard, Malthe Kjær Bisbo +2

The recently proposed Atomistic Structure Learning Algorithm (ASLA) builds on neural network enabled image recognition and reinforcement learning. It enables fully autonomous struc…

cond-mat.mtrl-sci2019

Atomistic structure learning

Mathias S. Jørgensen, Henrik L. Mortensen, Søren A. Meldgaard +4

One endeavour of modern physical chemistry is to use bottom-up approaches to design materials and drugs with desired properties. Here we introduce an atomistic structure learning a…

cond-mat.mtrl-sci2018

Size-dependent phase transitions in MoS2 nanoparticles controlled by a metal substrate

Albert Bruix, Jeppe Vang Lauritsen, Bjørk Hammer

Nanomaterials based on MoS2 are remarkably versatile; MoS2 nanoparticles are proven catalysts for processes such as hydrodesulphurization and the hydrogen evolution reaction, and t…

cond-mat.mtrl-sci201742 cited

Contact-Induced Semiconductor-to-Metal Transition in Single-Layer WS

Maciej Dendzik, Albert Bruix, Matteo Michiardi +6

Low-resistance ohmic contacts are a challenge for electronic devices based on two-dimensional materials. We show that an atomically precise junction between a two-dimensional semic…

cond-mat.mtrl-sci2016

Band gap engineering by Bi intercalation of graphene on Ir(111)

Jonas Warmuth, Albert Bruix, Matteo Michiardi +7

We report on the structural and electronic properties of a single bismuth layer intercalated underneath a graphene layer grown on an Ir(111) single crystal. Scanning tunneling micr…