Theory suggests information has mass and could account for universe’s dark matter

Einstein’s theory of special relativity brought us one of the most famous equations in science, E=mc², and showed that energy and mass are equivalent. In our modern, high-tech world, operations involving digital information storage and processing require huge amounts of energy. This gives way to the theory behind the mass-energy-information equivalence principle, the idea that because a bit of information is energy, it must have mass as well.

Landauer’s principle links thermodynamics and digital information through logical irreversibility. Experiments have proven the process of deleting a bit of information dissipates heat energy, but after information is created, it can be stored with no energy loss. Melvin Vopson proposes this happens because once information is created, it acquires finite mass.

“This idea is laboratory testable in principle,” said Vopson. He suggests taking mass measurements of a digital data storage device when it has full memory. If it has more mass than when the device’s memory is cleared, then that would show the mass-energy-information equivalence is correct. If the theory was to be confirmed, the implications would have an impact that could change the way we see the entire universe.

“For over 60 years, we have been trying unsuccessfully to detect, isolate or understand the mysterious dark matter,” said Vopson. “If information indeed has mass, a digital informational universe would contain a lot of it, and perhaps this missing dark matter could be information.”

Unfortunately, taking the extremely small measurement needed to such precision may currently be unachievable. Vopson proposes the next step to getting answers could be developing a sensitive interferometer similar to LIGO or an ultra-sensitive Kibble balance.

Source: “The mass-energy-information equivalence principle,” by Melvin M. Vopson, AIP Advances (2019). The article can be accessed at http://doi.org/10.1063/1.5123794.

Published by AIP Publishing (https://publishing.aip.org/authors/rights-and-permissions). 

 

 The numerical erros in this video are of the video creator.

Information storage in anti-ferroelectric materials?

Initial studies of anti-ferroelectric materials at the University of Portsmouth and Iowa State University indicate that these polar dielectrics can store digital information. The experimental results are very encouraging. A novel anti-ferroelectric random access memory chip (AFRAM) that will compete with traditional ferroelectric random access memory (FRAM) to deliver twice the memory storage capacity in the same volume, has been put forward. A US / EU patent on this technology has been granted: Anti-ferroelectric capacitor memory cell, Grant US-11355504-B2.

 

GENIES program is live

 GENIES is a computer program developed to facilitate the study of genome sequences in a comparative way using the information entropy. The program can analyse genomes of any size by converting the genetic information contained in a given genome into a numerical Information Entropy Spectrum. The program allows fast detection of base point mutations from the Information Entropy Spectra. Most importantly, the program could be used to research and identify predictive algorithms of future genetic mutations. 

This code is freely available from SourceForge:   

https://sourceforge.net/projects/information-entropy-spectrum/