Sergei V. Kalinin – Medium

Sergei V. Kalinin

Sergei V. Kalinin

Learning to code

The famous truism is that scientists should always learn. And it is true — being active in a professional domain requires learning new…

Jan 19, 2023

Jan 19, 2023

Sergei V. Kalinin

Variational (invariant) autoencoders, or the power of simplicity

This LRMR (long read, many references) talks about the variational autoencoders — rotationally and shift invariant, and…

Jan 3, 2023

Jan 3, 2023

Sergei V. Kalinin

10 great things in 2022

The year of 2022 was the year of many transitions, but also continuity in research, and multiple opportunities to grow. After almost 20…

Jan 1, 2023

Jan 1, 2023

Sergei V. Kalinin

Why do we need atomically-precise fabrication of semiconductors?

One of the most fascinating aspects of nanoscience is the vision for direct atomic fabrication, or building matter atom by atom. Originally…

Nov 22, 2022

Nov 22, 2022

Sergei V. Kalinin

When machine learning meets scientific method: enter hypothesis learning

For the last decade, machine learning field have been grown exponentially — for applications ranging from autonomous driving ,robotics…

Nov 21, 2022

Nov 21, 2022

Sergei V. Kalinin

Is automation all we need for automated labs?

Over the last 3 years, automated labs have become a focus of attention of researchers in academia and industry. The most attention is…

Nov 12, 2022

Nov 12, 2022

Sergei V. Kalinin

Sergei V. Kalinin

Working on applying machine learning for experimental physics problems for 15 years - from ORNL to Amazon to Academia

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