Cu.nn.mliap.model

# DATE: 2021-03-03 UNITS: metal CONTRIBUTOR: Pedro Antonio Santos Florez pedroantoniosantosf@gmail.com  CITATION: none
# Neural networks weights generated in PyXtal_FF 

# total_species nparams 
1 71 

# NET ndescriptors nlayers activation_func for layer 1, number of nodes for layer 1, ..., ..., ...., 
NET 30 3 tanh 2 tanh 2 linear 1 

# Scale0 
    98.5564567301067      0.1817576370006     -5.0513436999162      0.0453581866073     -4.4382278670569 
    -2.6985391112026     -4.9445068940273      7.8840372041149    -12.8729456412560     -2.9748781222888 
    -1.7702149043285     -4.6911979511282     -1.8167140506334     67.7067032503211    -12.5675074252146 
   -10.3889411514447     -2.6194029974308      1.8750503488944     -5.0934919399232      4.2037760919263 
    20.6488797181668     -8.2381178902428     -3.1311436510232     -1.1570117080256      2.1652328079269 
     0.0854872341687     73.5970916724043     -5.3230176040510     -5.3409170596296     -6.4491186818574 

# Scale1 
   783.0204659783215     33.6453931227955      7.9068346594951     32.2509031640463      5.6624925894670 
     5.6511565657016      8.2175114613285    108.9434600935519     16.3162547782998      6.4485086884047 
     9.5767453287024     24.1576638495153     25.1723098340896    202.6741688060115     26.3843102888906 
    19.7937707236334     13.9016635198379     14.1399097533048     72.7078614093291     39.8358080634714 
   370.1745750951991     21.6864533954642     14.6554778261065     18.6456437491491     43.2946309680355 
    68.9168418942695    481.9819429675007     14.5585849595560     61.9026061535013    112.5968384702330 

# Coefficients
  -0.2503221860648    0.4607794046378    0.4080552184108    0.0043328332206    0.2778722163950 
  -0.0050555739235    0.0406748042003   -0.1188215011883    0.4669700426246    0.4050949681583 
   0.3004118858813   -0.3937378155782    0.5165632847373    0.1381866719908   -0.3996533578004 
   0.1330571447244    0.1124773980921    0.1548275555377   -0.6221152970188   -0.7813275942231 
  -0.4320969824072    0.2045533448767   -0.1687644566507   -0.0424066840175   -0.1981208883936 
  -0.3406471991751    0.1272788573915   -0.1236220514264    0.6482374783971   -0.0590428211363 
   0.1326060235944    0.1890472518561   -0.5428894028577    0.0229420637813    0.0750842032804 
  -0.2443049940974    0.5265826743321   -0.1802773940492    0.0309737044359   -0.4987806786020 
  -0.6233577810656   -0.9910225261357    0.3430680860751    0.2918559145139    0.0666915892882 
  -0.2558026088950    0.0417769401952   -0.2582828540822   -0.3685977011673    0.4793473883461 
   1.0290706767456    0.0400544448686   -0.1474888333296    0.2403156153173    0.1050109023846 
   0.1413378531949    0.0907250056918   -0.1185878739508    0.1471942864979   -0.2829701766758 
   0.1137318187684    0.0476123438306    0.8040349098084   -0.5432518550512    0.2312003570779 
   0.6886872913686   -0.1247049894693    0.6848986783339   -2.6353147047309   -0.7173579584864 
  -1.0543148168289