File size: 5,298 Bytes
3429ce3
 
430d005
3429ce3
 
c4bc5bd
3429ce3
 
 
 
430d005
3429ce3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
{
    "@class": "Potential",
    "@module": "matgl.apps.pes",
    "@model_version": 3,
    "metadata": {
        "dataset": "MatPES-PBE-2025.2"
    },
    "kwargs": {
        "model": {
            "@class": "TensorNet",
            "@module": "matgl.models",
            "@model_version": 2,
            "init_args": {
                "element_types": [
                    "H",
                    "He",
                    "Li",
                    "Be",
                    "B",
                    "C",
                    "N",
                    "O",
                    "F",
                    "Ne",
                    "Na",
                    "Mg",
                    "Al",
                    "Si",
                    "P",
                    "S",
                    "Cl",
                    "Ar",
                    "K",
                    "Ca",
                    "Sc",
                    "Ti",
                    "V",
                    "Cr",
                    "Mn",
                    "Fe",
                    "Co",
                    "Ni",
                    "Cu",
                    "Zn",
                    "Ga",
                    "Ge",
                    "As",
                    "Se",
                    "Br",
                    "Kr",
                    "Rb",
                    "Sr",
                    "Y",
                    "Zr",
                    "Nb",
                    "Mo",
                    "Tc",
                    "Ru",
                    "Rh",
                    "Pd",
                    "Ag",
                    "Cd",
                    "In",
                    "Sn",
                    "Sb",
                    "Te",
                    "I",
                    "Xe",
                    "Cs",
                    "Ba",
                    "La",
                    "Ce",
                    "Pr",
                    "Nd",
                    "Pm",
                    "Sm",
                    "Eu",
                    "Gd",
                    "Tb",
                    "Dy",
                    "Ho",
                    "Er",
                    "Tm",
                    "Yb",
                    "Lu",
                    "Hf",
                    "Ta",
                    "W",
                    "Re",
                    "Os",
                    "Ir",
                    "Pt",
                    "Au",
                    "Hg",
                    "Tl",
                    "Pb",
                    "Bi",
                    "Ac",
                    "Th",
                    "Pa",
                    "U",
                    "Np",
                    "Pu"
                ],
                "units": 128,
                "ntypes_state": null,
                "dim_state_embedding": 0,
                "dim_state_feats": null,
                "include_state": false,
                "nblocks": 2,
                "num_rbf": 32,
                "max_n": 3,
                "max_l": 3,
                "rbf_type": "SphericalBessel",
                "use_smooth": true,
                "activation_type": "swish",
                "cutoff": 5.0,
                "equivariance_invariance_group": "O(3)",
                "dtype": "torch.float32",
                "width": 0.5,
                "readout_type": "weighted_atom",
                "task_type": "regression",
                "field": "node_feat",
                "is_intensive": false,
                "ntargets": 1,
                "use_warp": false,
                "niters_set2set": 3,
                "nlayers_set2set": 3
            }
        },
        "data_mean": "tensor(0.)",
        "data_std": "tensor(3.4596)",
        "element_refs": "tensor([-1.1172e+00, -4.5595e-04, -2.9735e-01, -4.2624e-02, -2.9117e-01,\n        -1.2628e+00, -3.1256e+00, -1.5469e+00, -4.3795e-01, -1.2160e-02,\n        -2.2858e-01, -9.9463e-03, -2.1673e-01, -8.2583e-01, -1.8872e+00,\n        -8.9092e-01, -2.5829e-01, -2.3532e-02, -1.7827e-01, -2.5962e-02,\n        -2.1297e+00, -2.4053e+00, -3.6123e+00, -5.4462e+00, -5.1459e+00,\n        -3.3058e+00, -1.6661e+00, -2.8412e-01, -2.3746e-01, -1.0984e-02,\n        -1.9854e-01, -7.7925e-01, -1.7014e+00, -7.8346e-01, -2.2688e-01,\n        -2.2654e-02, -1.6194e-01, -2.8231e-02, -2.2568e+00, -2.2374e+00,\n        -2.5348e+00, -4.6021e+00, -3.4029e+00, -1.6888e+00, -1.4402e+00,\n        -1.4752e+00, -1.9841e-01, -1.3748e-02, -1.9672e-01, -6.7963e-01,\n        -1.4302e+00, -6.5731e-01, -1.8858e-01, -1.0203e-02, -1.3453e-01,\n        -1.3598e+00, -6.2794e-01, -1.4364e+00, -2.1271e+00, -3.6390e+00,\n        -5.0886e+00, -6.9970e+00, -9.4861e+00, -8.1154e+00, -6.4569e+00,\n        -5.5164e+00, -4.3011e+00, -3.0388e+00, -2.1051e+00, -1.8404e+00,\n        -2.5256e-01, -3.4929e+00, -3.5659e+00, -4.5710e+00, -4.6344e+00,\n        -2.8828e+00, -1.4279e+00, -5.0244e-01, -1.8479e-01, -1.0521e-02,\n        -1.7940e-01, -6.3070e-01, -1.3246e+00, -2.4210e-01, -1.0442e+00,\n        -2.0324e+00, -4.6443e+00, -7.3027e+00, -1.0392e+01],\n       dtype=torch.float64)",
        "calc_forces": true,
        "calc_stresses": true,
        "calc_hessian": false,
        "calc_magmom": false,
        "calc_charge": false,
        "calc_repuls": false,
        "zbl_trainable": false,
        "debug_mode": false
    }
}