SciML Hub

A unified platform for scientific machine learning predictions across astrophysics, materials science, and molecular biology. Access state-of-the-art ML models through a simple REST API.

Quick Start

import requests

# Stellar Property Prediction
response = requests.post(
    "https://api.scimlhub.com/v1/astro/predict",
    headers={"X-API-Key": "your_api_key"},
    json={
        "temp": 5778,  # Kelvin
        "luminosity": 1.0,  # Solar luminosity
        "metallicity": 0.0  # [Fe/H]
    }
)

print(f"Stellar Mass: {response.json()['mass']} Solar masses")
print(f"Confidence: {response.json()['confidence']:.2f}")

Core Models

Astrophysics Model

• Neural networks for stellar property prediction
• 99.2% accuracy on benchmark datasets
• Predicts mass, age, and composition
• Average latency: 45ms

Materials GNN

• Graph neural networks for material properties
• 98.5% accuracy on crystal structures
• Predicts band gaps and formation energies
• Average latency: 62ms

Molecular VAE

• Variational autoencoder for structure generation
• 96.8% reconstruction accuracy
• Generates novel molecular structures
• Average latency: 78ms

Key Features

• Fast: 50ms average response time
• Accurate: >98% accuracy on benchmarks
• Reliable: Confidence scores with every prediction
• Scalable: Handle millions of predictions/day
• Secure: SOC2 Type II compliant
• Simple: Clean REST API + SDK

Example Usage

Python

from scimlhub import Client

client = Client(api_key="your_api_key")

# Materials prediction
result = client.materials.predict(
    structure="POSCAR data",
    properties=["band_gap", "formation_energy"]
)

JavaScript

import { SciMLClient } from '@scimlhub/client';

const client = new SciMLClient('your_api_key');

// Molecular generation
const molecule = await client.molecules.generate({
  constraints: {
    molWeight: [300, 500],
    logP: [-1, 3]
  }
});

Use Cases

• Research: Rapid hypothesis testing, data analysis
• R&D: Material discovery, drug development
• Education: Interactive learning tools
• Industry: Process optimization, quality control

Pricing

Plan	Requests/Month	Price
Free	300	$0
Premium-1K	1,000	$50/month
Premium-5K	5,000	$35/month
Premium-10K	10,000	$25/month
Enterprise	Unlimited	Custom

Resources

• API Docs
• Python SDK
• Examples

Enterprise

Need custom solutions? Contact me allanw.mk@gmail.com for:

• Custom model development
• On-premise deployment
• Integration support
• Training workshops

Support

• Email: support@scimlhub.com
• Discord: Join

License

Commercial license - see LICENSE