About this ebook
For decades, physics has treated inertia as a given truth. This book
challenges that assumption with the NKTg Law on Varying Inertia — a new
theoretical framework showing that an object's motion tendency depends on
the momentum relationship between its position, velocity, and mass:
NKTg = f(x, v, m)
This is a comprehensive practical guide to implementing that law in real code:
- Implementation across 11 programming languages: Python, C++, Go, Java,
C#, TypeScript, Q#, SQL, Rust, Julia, and Assembly
- Experimental verification with real ESA Mars data — error margin of only 0.208%
- Complete algorithmic structure of the NKTg Engine
- Applications in AI, Robotics, Autonomous Systems, and Quantum Computing
This is the only book in the world that implements an original physics law
across 11 programming languages, verified with real space data.
Validated by 54 peer-reviewed publications with valid DOI, permanently
archived on Zenodo (CERN), Mendeley Data (Elsevier), and Authorea (Wiley).
Permanently recorded on the Solana blockchain.
Author (ORCID): 0009-0002-9877-4137 | traiphieu.com
AI Usage Note: AI tools were only used to translate this work from
Vietnamese to English. All scientific content, experiments, data, and
source code are original and have never been provided to AI.
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About the author
Nguyen Khanh Tung is the creator of NKTg Law on Varying
Inertia — a new physics law that quantifies inertia as a
computable variable: NKTg = f(x, v, m).
Published 54 peer-reviewed preprints with valid DOI on
Zenodo (CERN), Mendeley Data (Elsevier), and Authorea
(Wiley). Implemented NKTg Law in 150+ programming languages
and verified with real ESA data achieving 99.792%
accuracy.
Permanently recorded on Solana blockchain.
ORCID: 0009-0002-9877-4137
Website: traiphieu.com
