Vortical Ether

Hi Everyone,

We have a new forum in “Model G Research Group” on a server. Please send email to me, Brendan with brendan.darrer.12@ucl.ac.uk, if you want to join.

Brendan

APEC SQK presentation 3d Here is an update on the presentation on Subquantum Kinetics, that Brendan Darrer will present at APEC (https://www.altpropulsion.com/) on 28th October 2023.

APEC SQK presentation 3b Here is an update on the presentation on Subquantum Kinetics, that Brendan Darrer will present at APEC (https://www.altpropulsion.com/) on 28th October 2023.

APEC SQK presentation 3a Here is an update on the presentation on Subquantum Kinetics, that Brendan Darrer will present at APEC (https://www.altpropulsion.com/) on 28th October 2023.

Here is a presentation on Subquantum Kinetics, that Brendan Darrer may present a APEC (https://www.altpropulsion.com/) in the near future.

See @ https://www.facebook.com/groups/1991723487759689/permalink/3417117881886902/

Here are some videos attempting to model the vector velocity field of a 3d soliton particle (Model G) using cones as vectors. See @ https://plotly.com/python/cone-plot/ . As you can see this may be not how it should look like, but in the cone plot you can see where the particle starts to form as the cone shapes change dramatically. The 3d array that each time segment produces for the video of n = 200 time slots, is converted into a .csv file of 7,270,400 lines and each 325 MB, that is replaced on each loop of the code, and later sewn together to make the video with ffmpeg.

Below are the Model G code changes for 3d particle video, 3d vector velocity cone video and 3d yaml files, see:

https://github.com/bjdarrer/tf2-model-g/blob/master/backups/render_video____nucleation_3D______1_seed__y0_x0____n200_R20_res160pVD10_OS1_ST10___with_cone_velocity_vector_242__7-12-2022__3.py?fbclid=IwAR3GTKfPX4M-sReaoKmrlDb_HEvervGs8E6SQrMufDs2EeaPfkpael4rPkU#L689

https://github.com/bjdarrer/tf2-model-g/blob/master/backups/fluid_model_g______nucleation_3D______1_seed__y0_x0____n200_R20_res160pVD10_OS1_ST10___with_cone_velocity_vector_242__7-12-2022__3.py?fbclid=IwAR1cuRFZj7RXaahASLjXTbU0yYz4XWV7Qy513hQQPb97N8sfKiMlTyBcFMg#L312

https://github.com/bjdarrer/tf2-model-g/blob/master/backups/nucleation_3D______1_seed__y0_x0____n200_R20_res160pVD10_OS1_ST10___with_cone_velocity_vector_242__7-12-2022__3.yaml?fbclid=IwAR3TvcumfD_6UUtibZYECp4-r-J5O8m77csUHJwqh2cWS5ygOKsQ9Na6ek8

Model G is based on the Brusselator adding an extra G component. To understand Model G better we need to look at the Brusselator and how it was derived. See these papers below. N.B. sorry I can’t upload them to this site at the moment. Working on it. Brendan

Paper 1:

BULLETIN OF MATHEMATICAL BIOLOGY VOLUME 37 1975

BIFURCATION ANALYSIS OF NONLINEAR REACTION – DIFFUSION EQUATIONS–I. EVOLUTION EQUATIONS AND THE STEADY STATE SOLUTIONS

J. F. G. Auchmuty
Department of Mathematics,
Indiana University,
Bloomington, Indiana 47401
and
G. Nicolis
Faculty des Sciences,
Universite Libre de Bruxelles,
Belgium

https://www.researchgate.net/publication/242968205_Bifurcation_analysis_of_nonlinear_reaction-diffusion_equations-I_Evolution_equations_and_the_steady_state_solutions

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Paper 2

BULLETIN OF MATHEMATICAL BIOLOGY VOLUME 37 1975

BIFURCATION ANALYSIS OF NONLINEAR REACTION-DIFFUSION EQUATIONS–II. STEADY STATE SOLUTIONS AND COMPARISON WITH NUMERICAL SIMULATIONS

M. Herschkowitz-Kaufman
Faeulte des Sciences,
Universite Libre de Bruxelles
Belgium

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Paper 3

CHAOS 27, 104617 (2017)

Dissipative structures: From reaction-diffusion to chemo-hydrodynamic patterns

M. A. Budroni and A. De Wit

Nonlinear Physical Chemistry Unit, Service de Chimie Physique et Biologie Theorique,
Universite libre de Bruxelles (ULB), CP 231 – Campus Plaine, 1050 Brussels, Belgium

https://nlpc.ulb.be/pdf/17.Budroni_CHAOS_Prigogine.pdf

Video 1: Simulating Model G neutral 3D particle in 1D with a G gradient – using Mathematica. Gradient = -1/80.

See code here @ https://github.com/bjdarrer/Model_G_Particle_3D_in_1D_gradient_-1By80_1a/blob/main/Model_G_Particle_3D_in_1D_gradient_-1By80_1a.nb

Video 2: Simulating Model G neutral 3D particle in 1D with a G gradient – using Mathematica. Gradient = -1/50.

Video 3: Simulating Model G neutral 3D particle in 1D with a G gradient – using Mathematica. Gradient = -1/30.

Video 4: Simulating Model G neutral 3D particle in 1D with a G gradient – using Mathematica. Gradient = -1/20.

Video 5: Simulating Model G neutral 3D particle in 1D with a G gradient – using Mathematica. Gradient = -1/10.