xnn.common.models.d3.d3_rcov

xnn.common.models.d3.d3_rcov = tensor([0.0000, 0.8063, 1.1590, 3.0236, 2.3685, 1.9401, 1.8897, 1.7889, 1.5874,         1.6126, 1.6882, 3.5275, 3.1495, 2.8472, 2.6204, 2.7716, 2.5700, 2.4944,         2.4188, 4.4346, 3.8802, 3.3511, 3.0740, 3.0488, 2.7716, 2.6960, 2.6204,         2.5196, 2.4944, 2.5448, 2.7464, 2.8220, 2.7464, 2.8976, 2.7716, 2.8724,         2.9480, 4.7621, 4.2078, 3.7039, 3.5023, 3.3259, 3.1243, 2.8976, 2.8472,         2.8472, 2.7212, 2.8976, 3.0992, 3.2251, 3.1747, 3.1747, 3.0992, 3.3259,         3.3007, 5.2660, 4.4346, 4.0818, 3.7039, 3.9810, 3.9558, 3.9306, 3.9054,         3.8046, 3.8298, 3.8046, 3.7795, 3.7543, 3.7543, 3.7291, 3.8550, 3.6787,         3.4519, 3.3007, 3.0992, 2.9732, 2.9228, 2.7968, 2.8220, 2.8472, 3.3259,         3.2755, 3.2755, 3.4267, 3.3007, 3.4771, 3.5779, 5.0645, 4.5605, 4.2078,         3.9810, 3.8298, 3.8550, 3.8802, 3.9054], dtype=torch.float64)

covalent radii in bohr, pre-scaled for coordination counting