From 0e7e827529f0bac407fe3e3af2b1fd47901425ce Mon Sep 17 00:00:00 2001 From: Matthias Sachs Date: Sun, 3 Nov 2024 15:44:09 +0000 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4cad42c..35ef88e 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ ACEfriction.jl facilitates simulation and machine learning of configuration-depe ``` where $`{\bf r}_i \in \mathbb{R}^3,\; (i=1,\dots,N)`$, are the positions of points/particles in the point cloud, the $`z_i`$s are some discrete features (e.g., chemical element types) and $\mathcal{SPSD}_{3N} \subset \mathbb{R}^{3N \times 3N}$ is the set of $3N\times 3N$-dimensional positive semi-definite matrices. -The underlying representation is based on an equivariant Atomic Cluster Expansion and, as such, size-transferrable, i.e., models can be trained and evaluated on 3D-point clouds comprised of arbitrary number, $N$, of points/particles. +The underlying representation is based on an equivariant Atomic Cluster Expansion and, as such, size-transferrable, i.e., models can be trained and evaluated on 3D-point clouds comprised of an arbitrary number, $N$, of points/particles. ## Documentation