Topology, data science, and free energy make new intelligent materials possible.

The key element in the nano-scale computers and microchips is to create enough small data images and keep those data images in the form. If we want to create liquid machines that can take any form. There is a need to create different individual data images for each entirety's participant.

If we want to create a liquid machine that can take any form researchers can use two methods.

*Silicon-based nanomachines

*Computer- and nanomachine-controlled cells. Those cells can involve nanomachine that encodes data to the cell's DNA. That kind of system can create an artificial chorale.

When the cyborg cells are in the correct position relative to each other.

And an entirety makes the right form. The system will get the order to create the core. And that thing can turn biological cyborg material from theory to reality.

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When researchers are developing new intelligent materials that can change their form and fix themselves. Those people need small-size nanotechnical microprocessors and nanotechnical mass memory. That controls the operations of those particles.

The new intelligent materials are formed of structures that look like bacteria. The small silicone machines are taking their place in the entirety. The silicone-based nanomachines can use for making silicone amoebas that change their form.

The living cells can also create the forms when controllers want. In that case, the cells must be microchip-controlled. Maybe the participants of the entirety would be basils. That is controlled with microchips.

Or maybe there is a nanomachine or nano-factory in every cell. And then the nanomachine encodes the wanted data into the DNA. That thing makes it possible to create a structure that can take any form that developers want. The nano-size microchips can use also bioluminescence light from shining cells as an energy source.

Researchers used an extended Landau free energy model for making nano-scale structures. There are two types of energy. The energy that free. One version of free energy is radiation. Or another version is energy. That is stored (connected) to material or some process. That system must release non-free energy somehow before it can be useful.

Sometimes free energy means to heat or some other energy. That formed in the process. But that energy will not return to process or turn to the material. So the free energy just flows around. So if the process forms thermal energy it can use as power.

That kind of reaction is happening when some material like gas is burning. When material burns it connects with oxygen. That reaction forms heat which can conduct to water that vaporizes and then conduct to turbines.

Things like photons carry energy. And some description of free energy as energy that is not participating process.

Nano-size microchips can use things like electroluminescence as the power source. And that thing makes this type of thing interesting.

By the way...

The helium-steam turbine can use in Pluto conditions.

One of the most interesting. But still theoretical power supply system is the steam turbine which uses liquid helium. There is a biological component in the small platform. The biological processes in that small platform create temperature.

And then liquid helium will deliver over that platform. The biological temperature causes the vaporization and expansion of that gas. That system can operate in extremely low temperatures where helium turns to liquid without energy.

Of course, helium will freeze that biomass. But there can be other platforms that can replace the frozen platform. And then new organisms can deliver to that base.

https://www.sciencedirect.com/topics/mathematics/landau-theory

https://scitechdaily.com/scientists-develop-an-extended-landau-free-energy-model-for-advanced-materials-design/

https://en.wikipedia.org/wiki/Landau_theory

https://en.wikipedia.org/wiki/Topology

Images from the top:

https://scitechdaily.com/scientists-develop-an-extended-landau-free-energy-model-for-advanced-materials-design/

The LK-99 could be a fundamental advance even if it cannot reach superconductivity in 400K.

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The CEO of Open AI, Sam Altman said that AI development requires a similar organization as IAEA.

We know that there are many risks in AI development. And there must be something that puts people realize that these kinds of things are not jokes. The problem is how to take control of the AI development. If we think about international contracts regarding AI development. We must realize that there is a possibility that the contract that should limit AI development turns into another version of the Nuclear Non-Proliferation Treaty. That treaty didn't ever deny the escalation of nuclear weapons. And there is a big possibility that the AI-limitation contracts follow the route of the Nuclear Non-Proliferation Treaty. The biggest problem with AI development is the new platforms that can run every complicated and effective code. That means the quantum computer-based neural networks can turn themselves more intelligent than humans. The AI has the ultimate ability to learn new things. And if it runs on the quantum-hybrid system that switches its state between binary and quantum states,

Cogito ergo sum. I think; therefore I am (René Descartes, French philosopher)

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