2 citations · 2 across the 1 of their papers we have counts for
3 papers
Graph Neural Networks for Carbon Dioxide Adsorption Prediction in Aluminium-Exchanged Zeolites
Marko Petković, José Manuel Vicent-Luna, Vlado Menkovski +1
The ability to efficiently predict adsorption properties of zeolites can be of large benefit in accelerating the design process of novel materials. The existing configuration space…
Description Generation using Variational Auto-Encoders for precursor microRNA
Marko Petković, Vlado Menkovski
Micro RNAs (miRNA) are a type of non-coding RNA, which are involved in gene regulation and can be associated with diseases such as cancer, cardiovascular and neurological diseases.…
Equivariant Parameter Sharing for Porous Crystalline Materials
Marko Petković, Pablo Romero-Marimon, Vlado Menkovski +1
Efficiently predicting properties of porous crystalline materials has great potential to accelerate the high throughput screening process for developing new materials, as simulatio…