Materials ScienceCPU2 creditsComing Soon

Materials Properties — Composition Analysis

Calculate formation energy, band gap, density, and crystal system from a composition string

Calculate key materials science properties from a chemical composition string. Get formation energy, band gap, density, crystal system, space group, and thermodynamic stability in one API call. Ideal for high-throughput screening and materials informatics workflows. Part of SciRouter's upcoming Materials Science suite.

The Materials Science API is currently in development. Join the waitlist to get early access when it launches.

$0.02
per API call
2
credits per call
/v1/materials/properties
API endpoint

Features

Formation energy prediction
Band gap estimation
Density calculation
Crystal system classification
Space group prediction
Thermodynamic stability scoring

Quick Start

Materials ML — Python Examplepython
import requests

API_KEY = "sk-sci-your-key-here"
url = "https://scirouter.ai/v1/materials/properties"

response = requests.post(url, json={
    "composition": "GaAs"
}, headers={"Authorization": f"Bearer {API_KEY}"})

result = response.json()
print(f"Formation energy: {result['formation_energy_ev']:.3f} eV/atom")
print(f"Band gap: {result['band_gap_ev']:.2f} eV")
print(f"Density: {result['density_g_cm3']:.2f} g/cm³")
print(f"Crystal system: {result['crystal_system']}")
print(f"Space group: {result['space_group']}")

Use Cases

1

High-throughput materials screening

2

Materials informatics feature generation

3

Semiconductor candidate identification

4

Thermoelectric material discovery

Get Early Access to Materials Properties

Join the waitlist and be the first to know when the Materials Science API launches.