Multi-core-CPU and GPU-accelerated radiative transfer models based on the discrete ordinate method. - Dmitry S. Efremenko; Diego G. Loyola; Adrian Doicu; Robert J. D. Spurr (Comput. Phys. Commun., 2014)

Improvement of EPIC/DSCOVR Image Registration by Means of Automatic Coastline Detection. - Víctor Molina García; Sruthy Sasi; Dmitry S. Efremenko; Diego G. Loyola (Remote. Sens., 2019)

Cluster Low-Streams Regression Method for Hyperspectral Radiative Transfer Computations: Cases of O2 A- and CO2 Bands. - Ana del Águila; Dmitry S. Efremenko; Víctor Molina García; Michael Yu. Kataev (Remote. Sens., 2020)

A Spectral Acceleration Approach for the Spherical Harmonics Discrete Ordinate Method. - Adrian Doicu; Dmitry S. Efremenko; Thomas Trautmann (Remote. Sens., 2020)

Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis. - Sruthy Sasi; Vijay Natraj; Víctor Molina García; Dmitry S. Efremenko; Diego G. Loyola; Adrian Doicu (Remote. Sens., 2020)

Model Selection in Atmospheric Remote Sensing with an Application to Aerosol Retrieval from DSCOVR/EPIC, Part 1: Theory. - Sruthy Sasi; Vijay Natraj; Víctor Molina García; Dmitry S. Efremenko; Diego G. Loyola; Adrian Doicu (Remote. Sens., 2020)

Fast Hyper-Spectral Radiative Transfer Model Based on the Double Cluster Low-Streams Regression Method. - Ana del Águila; Dmitry S. Efremenko (Remote. Sens., 2021)

An Overview of Neural Network Methods for Predicting Uncertainty in Atmospheric Remote Sensing. - Adrian Doicu; Alexandru Doicu; Dmitry S. Efremenko; Diego G. Loyola; Thomas Trautmann (Remote. Sens., 2021)

A Proof-of-Concept Algorithm for the Retrieval of Total Column Amount of Trace Gases in a Multi-Dimensional Atmosphere. - Adrian Doicu; Dmitry S. Efremenko; Thomas Trautmann (Remote. Sens., 2021)

Optimization of Aerosol Model Selection for TROPOMI/S5P. - Lanlan Rao; Jian Xu 008; Dmitry S. Efremenko; Diego G. Loyola; Adrian Doicu (Remote. Sens., 2021)

Scaling transformation of the multimode nonlinear Schrödinger equation for physics-informed neural networks. - Ivan Chuprov; Dmitry S. Efremenko; Jiexing Gao; Pavel Anisimov; Viacheslav V. Zemlyakov (CoRR, 2022)

Aerosol Parameters Retrieval From TROPOMI/S5P Using Physics-Based Neural Networks. - Lanlan Rao; Jian Xu 008; Dmitry S. Efremenko; Diego G. Loyola; Adrian Doicu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Application of Physics-Informed Neural Networks for Solving the Inverse Advection-Diffusion Problem to Localize Pollution Sources. - Ivan Chuprov; Denis Derkach; Dmitry S. Efremenko; Aleksei Kychkin (CoRR, 2025)