Current prediction (ppm)
Sievert N eq (ppm)
η attenuation
Δ vs. actual (ppm)
Steel chemistry (wt%)
0.01 – 1.2
0.01 – 2.0
0.001 – 0.1
0.001 – 0.05
Slag chemistry (wt%)
1 – 40
0 – 15
0 – 25
20 – 65
1.5 – 6.0
Process parameters
1580 – 1730
0.01 – 0.15
600 – 1500
0 – 300
0.05 – 0.35
0.1 – 1.5
Reference value (optional)
Measured value for comparison
Optional heat identifier
NitroPINN prediction result
Predicted N (ppm)
— wt%
Sievert N eq (ppm)
— wt%
η attenuation
CSV file format

The CSV must contain a header with exact column names (comma-separated):

heat_id,C,Mn,P,S,Fe_slag,MnO_slag,SiO2_slag,CaO_slag,slag_basicity,Ttap,Oactivity,tblow,treblow,scrap_ratio,Crate,actual_N

Columns heat_id and actual_N are optional.

Drag and drop a CSV here or click

Supported formats: .csv · Max. 5 MB

Not enough data

Add actual measured values (Actual N) to prediction history.

Architecture
  • 🔷 Input: 16 normalized features (Z-score)
  • 🔷 Backbone: FC 64→32→16, Tanh, Dropout 0.15
  • 🔷 η-head: Linear(16,1) + Sigmoid → [0,1]
  • 🔷 δ-head: Linear(16,1) → residual correction
  • 🔷 Output: Npred = η·Neq + δ
Physical constraints
  • ⚛️ Sieverts law: log Neq = −3750/T − 1.154 + 0.5·log pN₂ − log fN
  • ⚛️ Wagner formalism: log fN = Σ eⱼ·[j] (C, Mn, P, S, O)
  • ⚛️ η penalty: [0.05, 0.95] bounds
Performance (5-fold CV)
7.98
RMSE (ppm)
5.60
MAE (ppm)
0.325
16 input features
C, Mn, P, S (steel)Fe, MnO, SiO₂, CaO (slag) Slag basicityTapping temperature Ttap Oxygen activityBlowing time tblow Reblowing time treblowScrap ratio Decarburization rate ĊNeq (Sievert)