This one will rock your socks

There are arguably 5 key areas for the Variable Frequency Microwave Assisted Pyrolysis (VFMAP) R&D:

1. Physics
   1. Microwaves (MW)
      1. Magnetron
      2. 5G
      3. Other eg. ?Defense industry (does Gaia care?)
   2. VFMAP
      1. GaN on SiC transistors->amplifiers
   3. Pyrolysis
      1. Influencing factors
         1. Fixed frequency/sweeping frequency band(s) of MW
         2. Power of MW
         3. Moisture Content (MC) of feedstock
         4. Temperature of feedstock
            1. Dielectric properties
         5. Residence time of feedstock
      2. Steps
         1. Lipid extraction first then pyrolysis for electrode grade (N doped) biochar, using progressive 'feedstock adaptive frequency tuning' via feedback loop
         2. Optional (more research): Post chemical activation for increased pore volume + 'Brunauer–Emmett–Teller' (BET) Specific Surface Area (SSA), combined with additional higher temperature Pyrolysis for increased graphitization
2. Chemistry
   1. Biofuels eg. Bio oil/lipids-> Biodiesel
   2. Syngas
      1. Microalgae (MA) drying
      2. Waste heat for bioelectricity to 'self power' the VFMAP machine after initial startup
         1. Stirling Engine eg. Free piston
   3. Biochar electrode/anode redox surface chemistry for batteries and supercapacitors
   4. Susceptors/absorbers
      1. SiC, Activated C, Biochar, metal oxides etc.
      2. Probably not needed with VFMAP
   5. Catalysts
      1. Zeolite, ferrite nanoparticles
      2. Decreases Pyrolysis temperature and power required for Graphitization second step
      3. Can change chemical outputs
      4. Possibly not needed with VFMAP
   6. Post treatment eg. KOH, KMnO4 et al
      1. Increases pore volume and BET SSA
3. Biology
   1. MA used as a test 'analogue' to build the new VFMAP machine prototype (if it works for MA it can probably do any pure feedstock or even mixed feedstocks)
   2. MA Botany
      1. Plant structure
         1. Macro structure
         2. Intercellular structures eg.K+
         3. Cell biology
      2. Protein: Lipids: Carbohydrates ratio, specific to species and strain
      3. Cation analysis eg. K +, Ca 2+, Mg 2+ et al
         1. Tuned into optimised MW frequency for maximum molecular resonance and energy efficiency
   3. Other plants/biomass 'waste' feedstocks
4. Engineering (Reactor design and configuration)
   1. Hardware
      1. VFMAP
         1. GaN on SiC transistors/amplifiers
         2. Frequency band sweeps
         3. Existing tech eg. Scanship, lab scale unit
         4. New tech
            1. open source design
            2. Off the shelf (OTS) components
               1. As is
               2. Modded
            3. Custom components
            4. Component IP eg. Licenses
      2. Scalability (# modules/module size)
   2. Software
      1. Control software of VFMAP
         1. Arduino (prior research)
         2. https://circuitpython.org/
      2. Artificial Intelligence(AI): Machine Learning (ML) for 'feedstock adaptive frequency tuning' via feedback loop for specific MA species and strains (working with unique Protein: Lipids: Carbohydrates ratio and prevalent cations) and for each stage of progressive Pyrolysis
5. Finance
   1. Pre-seed for prototype (?)
   2. Seed to commercialization
      • Gov grants, VC, angels
   3. Once commercial
      1. Carbon Dioxide Removal (CDR) credits on a Carbon Removal Marketplace (CRM) platform eg. Isometric
      2. Value added products eg. biodiesel, battery and supercapacitor anodes

Anyone interested please get in touch on the 'Contact' page...