May i know how you got the animation of molecules passing information(@1:52)??

Yes this is very helpfu! Thank you so much. With your explanation I could understand molecular comunication.

“I will be showing you some equations but you won’t need to solve them.” What? Not solve them? Working out a numerical solution to solve Fick’s Second Law of Diffusion is how I first learned computer programming. In 1967 as a doctoral student at NYU I took a physical chemistry lab course taught by Paul Delahay, whose main research area was double-layer electrode kinetics. Computers of that era filled entire rooms but their use in bench chemistry was practically non-existent. Delahay insisted that programming would eventually become as indispensable a skill as knowledge of thermodynamics. Our “learning” assignment was to solve Fick’s second law of diffusion: ∂C/∂t = χ (∂^2 C / ∂ x^2) with boundary conditions. We plunged into Anthony Ralston’s textbook on numerical analysis to develop on paper an algorithm from the equation, and then used McCracken’s FORTRAN textbook to figure out how to program it in FORTRAN. We had four weeks to complete the assignment. As an extra-special challenge we were required to graph the concentration C as a function of time t and distance x. Old-timers may remember the days before mechanical plotters when graphing was done on the same 132-column line-printer that produced the program and its output. An even greater challenge was the fact that the computer and printer at the Courant Institute of Mathematical Sciences were off-limits to students. You handed your punch cards to a human computer operator through a window and waited patiently for paper output to appear in a folder at another window. Turnaround time for a job that took a few CPU seconds could easily stretch from minutes to hours depending on time of day (or night) and work shift. Proofreading code before submitting a program thus became an indispensable work habit.

Great series of videos! I came here looking for explanations on Fick's laws and ended up watching the whole playlist.

boss much appreciated

Thanks for the video, super helpful and informative

🎉 0:47

How do we generate negative numbers for the random value if we use the gaussian distribution? I coded this but the particles just go up and to the right

Great explanation👍

Thank you so much Dr. Noel. These video series are really helpful specially for us whom are interested in MC. Best wishes for you and your team.

Assalamualaikum wa rahmatullahi wa barakatuhu.

Great!

amazing how a channel with only 91 subscribers got into my field of view. That signal must have been weak, yet my receiver picked it up the transmission.😊

why are you doing this? a bit more background would help. also, how would one use this in designing a video game?

Hey bro. This is random but you have strong glasses and I wonder if you saw "Myopia: A Modern Yet Reversible Disease - Todd Becker" (on youtube) or anything by Endmyopia. Good luck with your channel!

You don't need to use soyface thumbnails to generate clicks.

Stop ending statements with question marks. Question marks mark questions. Stop using the clickbait tactic of the question title.

Thank you so much, sir. Its really helpful for us to learn particle-based simulation.

A short correction - I describe the point-to-point diffusion channel equation as giving a "number of molecules" as output, but strictly speaking this is a "concentration".

Bravo Maike

Personally, I dream of one day being able to treat nerve damages via MC.

I appreciate your great work. Could you please explain more on nervous communication and how to model synaptic communication along with axonal communication? (sth like a multi hop communication)

Oh my GOD. I’m really really happy that a channel is created to explain molecular communication. Thanks a million professor and good luck 🌱