Maxim A. Makeev Data-verified

OverviewAI-generated summary

Maxim A. Makeev's research focuses on computational studies of materials for energy storage, employing atomistic simulation, ab initio, and machine learning methods. His past work has involved atomistic simulations of semiconductor nanostructures, the physics of hypervelocity impacts, and shock-wave propagation in composite materials. His doctoral research at the University of Notre Dame was dedicated to the stochastic theory of surface evolution under energetic ion bombardment.

Makeev has developed and implemented open-source packages for high-throughput multiscale molecular simulations, including MISPR, which facilitates automated infrastructure for DFT and MD simulations. His recent publications explore the formation mechanisms of quasiordered superstructures of electric bubbles and quasihexagonal arrays of electric-skyrmion bubbles in thin-film ferroelectrics, as well as ab initio studies of atomic structure and electronic properties of silver sulfide phases. He also has work on the modification of polyethylene via sliding arc discharge and electron beam processing of diffusion layers on steel.

His scholarship metrics include an h-index of 14 and 1,404 total citations across 64 publications. Makeev collaborates with several researchers at the University of Arkansas at Fayetteville, including Yousra Nahas, Sergei Prokhorenko, Suyash Rijal, and Laurent Bellaiche.

Metrics

• h-index: 14
• Publications: 64
• Citations: 1,413