We study the Aharonov-Bohm caging effect in a one-dimensional lattice of theta-shaped units defining a chain of interconnected plaquettes, each one threaded by two synthetic flux lines. In the proposed system, light trapping results from the destructive interference of waves propagating along three arms, this implies that the caging effect is tunable and it can be controlled by changing the tunnel couplings J. These features reflect on the diffraction pattern allowing to establish a clear connection between the lattice topology and the resulting AB interference.
We propose the use of artificial neural networks to design and characterize photonic topological insulators. As a hallmark, the band structures of these systems show the key feature of the emergence of edge states, with energies lying within the energy gap of the bulk materials and localized at the boundary between regions of distinct topological invariants. We consider different structures such as one-dimensional photonic crystals, PT-symmetric chains and cylindrical systems and show how, through a machine learning application, one can identify the parameters of a complex topological insulator to obtain protected edge states at target frequencies. We show how artificial neural networks can be used to solve the long standing quest of inverse-problems solution and apply it to the cutting edge topic of topological nanophotonics.
Pilozzi et al 2020 Nanotechnology https://doi.org/10.1088/1361-6528/abd508
Invoke function (
C-x C-e to evaluate)
(f x0 x1) (f x0 x1 x2)
(defun my-fun (x0 x1) "function description" (+ x0 x1))
(setq my-f (lambda (x y) (+ x y))) (funcall my-f 1 2)
Setting variables, with quote is the name of the variable
(setq x y) is equivalent to
(set (quote x) y)
(setq name "nautilus") (setq name value) 'x ;; is the name of x, not the value (like the pointer in C) '(a b c) ;; is a list (setq x '(0 1 2 3)) ;; x is a list
Programming in C is the best for scientific computing.
You certainly disagree; tools like MATLAB increase productivity.
I remember when I started working as a researcher, with a lot of computing. I was facing with my professors used to dinosaurs like FORTRAN or C. MATLAB was not used too much, it was more than 20 years ago!
But MATLAB is a very professional tool, it works like a charm, and many scientific papers are done by MATLAB.
Nowadays, however, most of the students love and want to use Python, or more fashionable things like Julia or R. Python is a beauty, and it is a must for machine learning. Python is free (but many universities give access to MATLAB to the students). But I do not find it very professional. You continuously need to tweak the code, or install a missing package, or -worst of all- check with the filesystem permissions or access, because it is an interpreted language. MATLAB is also interpreted, but its ecosystem is stable and well-integrated in operating systems like Windows, OSX, or Linux. Of more than 200 papers that I wrote, only in one so far I used a Python code.
At the end of the day, for professional pictures, I use MATLAB (with some help from Illustrator or Powerpoint or Gimp, etc.). Many codes in my papers are written in MATLAB, as in the recent work on neuromorphic computing with waves. Also, the deep learning toolbox of MATLAB is valuable.
I made some papers on parallel computing, mainly by the MPI protocol. In the beginning, for MPI, I used FORTRAN, but lately (nearly 15 years ago) I switched to C++. I am still writing codes with MPI and C++, and I am practicing CUDA. You can use CUDA in Python, but you understand CUDA only by C++.
But as far as I enter in the details of a code (and I age), improve or optimize, I realize that I am progressively switching back to C. Just pure C (sic!). The reason is that at a lower programming level, I have better control of what the code does, I can understand better the side effects of some routine. In C, dealing with complex variables, or arrays is more clear to me, despite being much more complicated (but using pointers makes you feel a lot smarter!).
As a side effect, the code is simpler to read and understand, but much less cool and modern. Even if, I have to admit that maintaining a code in C++ is still more efficient for me, with respect to FORTRAN or to C, Notably enough, my last FORTRAN paper is dated 2017!
I am not a boomer, so you cannot say “ok boomer”, but I think that this python-mania is not the best for scientific computing and is not the best for students. It not only an issue of speed (and obviously C is the fastest, with FORTRAN as a good competitor). It is also a matter of how to learn to write programs for scientific computing from scratch. For me, to learn and practice scientific computing, the best is still a wise combination of C and C++, with MATLAB for visualization! While Python (and TensorFlow and all of that) gives its best in machine learning.
GNU Emacs is great, superfun
You can play a lot with things like latex, and org-mode, and coding in emacs
I use emacs in windows and linux systems
Windows 10 WSL
I was used to the windows version of emacs 25 in windows 10, but WSL is a supernice tool, thus I recently switched to WSL Ubuntu 20.04, and installed emacs27 via the PPA repository. You may install the APP ubuntu 20.04 in Windows Store. See this post
In windows 10 new need a good X10 server for opening windows, I found that X410 works nicely (it is not freeware)
You need to modify your
.bashrc and add
DISPLAY=localhost:0 export DISPLAY
The windows filesystem in the ubuntu WSL terminal is automatically mounted in
sudo add-apt-repository ppa:kelleyk/emacs sudo apt update sudo apt install emacs27
Same as above, works fine
My emacs configuration
As for many Linux things, the nice feature in emacs and all that is that you can easily configure anything. The problem is that you may become addicted in continuously changing the settings, because you do not like the window size, the font, etc. The good news is that this is also true in emacs!
To configure emacs you can either change the file
.emacs, whic you can put or find in your home directory. Or you may change the file
.emacs.d is a config directory that is also in the home. The two methods are exclusive, meaning that either you use
.emacs, or .
emacs.d/init.el. I prefer to used .
emacs.d/init.el as it is more recent.
For example, if you want to change the font, you have to put the following line in
(set-face-attribute 'default (selected-frame) :height 100)
This may seem weird, as it is not something like fontsize=12, but it is a glimpse into the supersmart world of Lisp. Indeed emacs is written in Lisp, a proper Lisp, the “emacs-lisp” and that is the reason why emacs is so cool.
to be continued