New Research Toward Evolutionary Optimization of Complex Layered Materials Systems
Recent unexpected outcomes of our quantum-gravity material science research together with our technical research partner SiOmec, has lead to new generalized evolution equations that are mathematically entangled with the 2nd law of thermodynamics. This provides options to develop layered materials and structures evolutionarily optimized against non-linear processes, for example, against turbulences (applicable to hyper-sonics), impact and thermal creep effects.
This provides design optimization algorithms to optimize both the material structures (geometry & surfaces) and its mechanical design properties against nonlinear environmental conditions with highly efficient mathematics.
More details on the mathematical derivation can be found here: “How Systems Evolve: A Red Pill Course on Evolution” by N. Schwarzer and is based on the original works of David Hilbert and Albert Einstein that were further extended by Dr Norbert Schwarzer [1, 2]
Further, our project developments in mathematical psychology will enrich future product designs with an end users psychology in the design optimization phase. Interestingly this development has many uses outside of psychology. For example, toward the potential applied use of our recent mathematical physics replication of ‘mass formation’ psychological phenomena (see below image) in developing room temperature stable quantum coherent material structures. Even more importantly, in building next generation quantum-gravity computing not restricted by todays ‘Quantum only’ based computing. See more in [2] .
[1] The Theory of Everything - Quantum and Relativity is Everywhere – A Fermat Universe, by N. Schwarzer, March 2020, Jenny Stanford Publishing ISBN: 9789814774475
[2] The World Formula - A Late Recognition of David Hilbert‘s Stroke of Genius, by N. Schwarzer, December 2021, Jenny Stanford Publishing ISBN: 9789814877206
[3] The Math of Body, Soul, and the Universe, by N. Schwarzer, publication expected late 2022, Jenny Stanford Publishing ISBN 9789814968249