Rahil Doshi
materforge

Repository

pip install "git+https://i10git.cs.fau.de/rahil.doshi/materforge.git"
git clone https://i10git.cs.fau.de/rahil.doshi/materforge.git
cd materforge
pip install -e .[dev]
import sympy as sp
from materforge.parsing.api import create_material

# Create a material with symbolic temperature
T = sp.Symbol('T')
material_T = create_material('path/to/material.yaml', T)

# Create a material at specific temperature
material_500 = create_material('path/to/material.yaml', 500.0)

# Access properties
print(f"Heat capacity: {material_T.heat_capacity}")
print(f"Density: {material_500.density}")

# Evaluate at specific temperature
temp_value = 1500.0  # Kelvin
density_at_temp = float(material_T.density.subs(T, temp_value))
print(f"Density at {temp_value}K: {density_at_temp:.2f} kg/m³")

# For numerical evaluation (no plots generated)
material_800 = create_material('aluminum.yaml', 800.0)

# For symbolic expressions with automatic plotting
material_with_plot = create_material('steel.yaml', T, enable_plotting=True)
from materforge.algorithms.piecewise_inverter import PiecewiseInverter

# Create inverse energy density function: T = f_inv(E)
if hasattr(material, 'energy_density'):
    E = sp.Symbol('E')
    inverse_func = PiecewiseInverter.create_energy_density_inverse(material, 'E')

    # Test round-trip accuracy
    test_temp = 500.0
    energy_val = float(material.energy_density.subs(T, test_temp))
    recovered_temp = float(inverse_func.subs(E, energy_val))
    print(f"Round-trip: T={test_temp} -> E={energy_val:.2e} -> T={recovered_temp:.2f}")