output
20162026
most citedMachine-Learning Interatomic Potentials Enable First-Principles Multiscale Modeling of Lattice Thermal Conductivity in Graphene/Borophene Heterostructures

218 citations

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cs.LG2022★ 13 cited

Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents

Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova +1

We present an approach for interpreting a black-box alarming system for forecasting accidents and anomalies during the drilling of oil and gas wells. The interpretation methodology…

cs.LG2022★ 27 cited

Forecasting the abnormal events at well drilling with machine learning

Ekaterina Gurina, Nikita Klyuchnikov, Ksenia Antipova +1

We present a data-driven and physics-informed algorithm for drilling accident forecasting. The core machine-learning algorithm uses the data from the drilling telemetry representin…