Antoine Levitt

Results 90 issues of Antoine Levitt

``` julia> a = randn(3,3) b =3×3 Matrix{Float64}: ra 0.0237017 1.62282 -1.28889 -0.186575 -2.00309 0.502572 -0.413123 -1.99718 -0.174593 julia> b = randn(3,3) 3×3 Matrix{Float64}: -0.40664 1.80043 1.2399 1.22559 -0.828653 1.38103...

Got bit by this (in a more complicated context) ``` julia> a = randn(2) 2-element Vector{Float64}: -0.012727152255729035 -0.4625600586199899 julia> @tullio b := a[i]*a[i] 0.214123788235069 julia> @tullio b := a[i]*a[i]+1 2.214123788235069...

documentation

Hi, I just checked back, it seems there has been lots of activity on this project, great! Is it ready for prime time? In particular, can we replace Optim's implementation...

question

Could be good to run https://discourse.julialang.org/t/new-tools-for-reducing-compiler-latency/52882, although I would imagine that our latency cost is because of our deps, not because of us.

good first issue
performance

Ref https://github.com/mfherbst/DFTK.jl/pull/30 Something like ``` struct Eigensolver tol maxiter precon # Promises to implement precon(ham) -> P solver # Promises to implement solver(A,X0,P,tol=tol,maxiter=maxiter) end default_eigensolver(tol=1e-6, maxiter=100) = Eigensolver(tol, maxiter, lobpcg_hyper)...

API

We should move LOBPCG to the broader ecosystem. Mohamed Tarek was open to moving it to IterativeSolvers if we can demonstrate it's superior to the existing implementation. We should benchmark...

good first issue

Would be great if eg a graphene band structure worked out of the box (without manual kpoint path selection)

feature
third party

Add local_potential(::Term)

feature
good first issue

Lots of boxes! Gotta check them all! ### Forward mode - [ ] libxc interfacing - [ ] upstream FFT stuff - [ ] figure out the T = promote_type...

feature
discussion

First attempt at support for isolated systems. Right now this tackles only neutral molecules. TODO - [ ] systems with dipole moments - [ ] ions - [ ] tests