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The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology

DruGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

Water consumption of strawberries with drip irrigation in the conditions of the Moscow region

DruGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

The cornucopia of meaningful leads: Applying deep adversarial autoencoders for new molecule development in oncology

Rendering of the Fluid Flow Through a Thin Walled Pipe with Variable Cross-Section

FEATURES OF FLUID SIMULATION IN MODELS BASED ON PHYSX

РЕЖИМ ОРОШЕНИЯ ЗЕМЛЯНИКИ ПРИ ДОЖДЕВАНИИ И КАПЕЛЬНОМ ПОЛИВЕ

Inhomogeneous Magnetic State of Ce2Fe17 Evidenced by Mossbauer Spectroscopy

Mssbauer study of Се2Fe17 compound in different magnetic states

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