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CODATA Proton Charge Radius; The History Of This Fundamental Measurement. 

Article by Dr. Inés Urdaneta, Physicist, Research scientist at Resonance Science Foundation

It’s been almost two years since the charge radius of the proton was finally confirmed experimentally by a September 2019 study from Eric Hessels, of York University in Canada, and his colleagues.  

In his 2013 paper entitled Quantum gravity and the holographic mass, Nassim Haramein had anticipated this value, by proposing a generalized holographic model that enables us to compute the now-confirmed value for the proton charge radius, which was then adjusted by the CODATA (Committee on Data for Science and Technology) to that same value in 2018. This all is part of the so-called Proton Puzzle, which we will address in this article.  

Since the nucleus of a hydrogen atom consists of a single proton and this atom has only one electron, hydrogen is a suitable platform for determining the proton’s intrinsic properties, such as the proton charge radius, which is the...

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New Machine Learning Method Raises Questions on the Nature of Reality… Again

Article by Inés Urdaneta, Physicist, Resonance Science Foundation Research Scientist

Machine learning and artificial intelligence are increasingly taking the stage, with huge philosophical implications. We have been following this issue in our RSF science blog, first through the article Between the Holographic Approach and Data Science where we addressed the potential of trained artificial neural networks to replace our scientific models, and the possibility of reality being a numerical simulation was discussed. Somehow we had anticipated the work from Vitaly Vanchurin, from the University of Minnesota Duluth, proposing that we live in a neural network and affirming that only through neural networks we could find the theory of everything and grand unification theory. So, our second article entitled Is the universe a Neural network? addressed this later possibility.  

Today it was published in Phys.org an article entitled New machine learning method raises question...

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Graphene Proves That Brownian Motion Can Be A Source of Energy!

Article by Ines Urdaneta, Physicist, Resonance Science Foundation Research Scientist

Graphene, one of the most important nanomaterials developed so far, continues to surprise the scientific community. This time, thanks to the extraordinary phenomena found by a group of physicists from the University of Arkansas. We are talking specifically about the capacity to use the thermal motion of atoms in graphene as a source of energy!

In this recent work, published in Physical Review E under the title Fluctuation-induced current from freestanding graphene, the team of researchers have successfully developed a circuit capable of capturing graphene's thermal motion and converting it into an electrical current. 

As it is said in this article: "The idea of harvesting energy from graphene is controversial because it refutes physicist Richard Feynman's well-known assertion that the thermal motion of atoms, known as Brownian motion, cannot do work. Thibado's team found that at room...

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Is the Physical World a Neural Network?

By Dr. Inés Urdaneta. Resonance Science Foundation Research Scientist

In a former RSF article entitled Between the Generalized Holographic approach and Data Science, we addressed the potential of trained artificial neural networks to replace our scientific models, and the possibility of reality being a numerical simulation was discussed. Somehow we had anticipated this next and very recent work from Vitaly Vanchurin, from the University of Minnesota Duluth, proposing that we live in a neural network. It is an audacious idea!


In our prior article we had anticipated the impact of artificial neural networks and deep machine learning … what we had not foreseen was that they would be used literally as the framework for the theory of everything! There is a saying: "better be a historian, than a prophet", meaning that a historian writes about past events, and so taking small risk, while a prophet takes a huge risk with his predictions. Though, we should not brag about this...

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Artificial Intelligence Meets Quantum Physics

by Dr. Inés Urdaneta, Resonance Science Foundation Research Scientist 

As many theoretical and computational chemists and physicists know, quantum chemical calculations involving more than an electron and nuclei are very difficult to solve. They belong to a field called many body problems and require an extensive amount of computational infrastructure and hours of calculations depending on the size (the number of particles) of the system.

Here is where artificial intelligence – a combination of artificial neural networks and machine learning – comes into play. Neural networks have been around for more than 50 years, and they are more actualized than ever before. This is because they can learn through something called backward propagation, reaching a high level of predictability and increasing accuracy by training the network.

Quantum theoretical models, together with their computational packages, have been outstandingly successful in describing the quantum...

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The Force of the Vacuum

by Dr. Inés Urdaneta, Resonance Science Foundation Research Scientist

One of the most common physical manifestations of the vacuums’ force is the Casimir effect, which was first predicted by the Dutch physicist Hendrik Casimir in 1948, and measured for the first time by Steven Lamoreaux in 1996. Nonetheless, the physical interpretation and whether or not the effect comes from the vacuum fluctuations, is still under discussion in theories of quantum gravity and quantum electrodynamics. It also remains a mystery that the energy density of the vacuum is so high it should act gravitationally to produce a large cosmological constant, as well as curving spacetime. And yet, there is a difference of 122 orders of magnitude between the classical vacuum represented by the cosmological constant, and the quantum vacuum energy density. This discrepancy is known as the Vacuum catastrophe (Investigation of the gravitational property of the quantum vacuum may explain the accelerating...

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Protons in Life

by Johanna Deinert, Resonance Science Foundation Research Scientist

Image by Marshall Lefferts http://cosmometry.com/. See RSF in Perspective below for more info on this image.

Just recently, new experimental data on the charge radius of the proton was published in Science, confirming Nassim Haramein’s 2012 prediction based on his Holofractal Universe Theory as being exact. Previously, Nobel Laureate Hideki Yukawa and others gave hints the charge radius could be smaller than the current paradigm standard estimated. For us it is very important that the prediction is a result of a much broader theoretical perspective based on Quantized Gravity, Spin Dynamics and Unified Physics. Now, why could this be important for your everyday life?

Haramein’s Generalized Holographic Approach successfully predicts many more observed parameters (micro- and macrocosmic) and allows biological processes to be integrated as well. Life must no longer happen in undefined physical realms. We...

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The Morphogenic Field is Real and These Scientists Show How to Use It to Understand Nature

by William Brown & Dr. Amira Val Baker, RSF Research Scientists

In a new study, Chris Jeynes and Michael Parker pose the question: How does nature produce such stunning symmetry and order in many systems observed across enormous scales? Under the microscope, a snowflake shows intricate patterning and remarkable symmetry, and in a telescope the same is observed for spiral galaxies up to half a million light years across.

Both of these systems are made of innumerable subunits (be they water molecules or stars and planets) which should behave completely oblivious to the overall configuration of the conglomerate. That is to say, the behavior of these systems at the scales that matter—the fundamental units of which they are composed— should be completely random aside from some formative causation arising from intermolecular or inter-gravitational interactions, which are not long-range.

The question then becomes what is the causative ordering parameters that results in...

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Inside the Mysterious Electron

by Resonance Science Foundation

As surprising as it may sound, no one really knows what an electron is. To answer the question “What is an electron?”, you would think the first step would be to observe it. However, that is easier said than done. So, while we can’t observe an electron, we can observe its behavior—more specifically its energy. 

Full Article by RSF Research Scientist Dr. Amira Val Baker in Popular Electronics: Read more

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What is an electron?

by Dr. Amira Val Baker, Resonance Science Foundation Astrophysicist

Everyone knows what an electron is – right? Surprisingly the answer to that is no – no one really knows what it is.

If you ask any high school student what an electron is, they will most probably tell you that it is a subatomic particle with negative charge and acts as the primary carrier of electricity. This answer is indeed correct – however it does not reveal the true nature of its reality.

This fundamental question has been the driving force for much of modern physics – and eventually led to the development of quantum field theory – yet we are not any closer to finding an answer.

To answer this question, you would think the first step would be to observe it. However, that is easier said than done. Electrons are simply too small for us to observe – the smallest thing we can observe is an atom and even that is not with a traditional microscope. In fact, we use electrons to...

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