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Tymofii Nikolaienko

R&D Engineer


Tymofii Nikolaienko is an R&D engineer at SoftServe, working on fusing modern AI/ML with theory-based multiphysics models. His current focus is physics-informed neural networks with particular applications to dynamical systems governed by chemical kinetics. He earned Ph.D. and Dr.Sc. degrees from the Taras Shevchenko National University of Kyiv (Ukraine) based on research in post-processing methods for quantum-chemical computations.

Tymofii’s recent stories

By Hatem Nasr, Nataliia Susulovska, Tymofii Nikolaienko, Bohdan KhomychMar 19, 2024
Energy SectorIoT, XR, Robotics, AI & MLNvidiaR&D

Exploring the Potential of Physics-Informed Neural Networks

Integrating fundamental physical laws into the machine learning process enables PINNs to tackle complex problems where traditional data-driven models often fall short. This article discusses some of the ways PINNs are reshaping AI solutions.

clock-icon-black  6 min read
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