14 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 3 cited
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells
Alexey Korovin, Artem Vasilyev, Fedor Egorov +5
Efficient defect detection in solar cell manufacturing is crucial for stable green energy technology manufacturing. This paper presents a deep-learning-based automatic detection mo…
cond-mat.mtrl-sci2022★ 14 cited
Boosting Heterogeneous Catalyst Discovery by Structurally Constrained Deep Learning Models
Alexey N. Korovin, Innokentiy S. Humonen, Artem I. Samtsevich +4
The discovery of new catalysts is one of the significant topics of computational chemistry as it has the potential to accelerate the adoption of renewable energy sources. Recently…