Nguyen Khanh Tung is an independent researcher working in applied physics, data science, and programming. He is the founder of the NKTg Law on Varying Inertia, a framework that transforms physical laws into directly computable algorithms for artificial intelligence and autonomous systems.

With a hybrid background in scientific reasoning and quantitative analysis, he has developed the NKTg ecosystem across more than 150 programming languages and published over 50 DOI-indexed research works on international academic platforms. His work aims to establish a “common language” between physics and computation, where natural laws can be executed in real time.

His research focuses on variable-mass dynamic systems, with applications in robotics, aerospace engineering, and AI-driven control systems. He is also among the early contributors to the concept of programmable physics, bringing physical laws into executable engineering frameworks.

Academic identifiers & publications:

Copyright Evidence Summary

Evidence Source

Count

Notes

Zenodo publications (DOI)

46

CERN / OpenAIRE — CC BY 4.0

Mendeley Data publications (DOI)

6

Elsevier — CC BY 4.0

Wiley / Authorea publications (DOI)

2

Peer-reviewed preprint

Total publications with DOI

54

Verifiable at doi.org

Git repositories

9

Public — 150+ programming languages

Official website

1

traiphieu.com

Blockchain smart contract (Solana)

1

Immutable on-chain record

ORCID verified identity

1

0009-0002-9877-4137

Programming languages implemented

150+

Assembly → Q#

Experimental validation data

NASA / ESA

Mars, Earth, Mercury, Neptune

📌 The complete list of DOI-indexed publications is provided in the Appendix of the book.