/generateGenerate a crystal structure with CrystaLLM
Chemical composition (e.g., 'PbTe' or 'Bi2Se3')
Space group symbol (e.g., 'Fd3m', 'P4_2/n', etc.)
Range: 0.1 to 10
Sampling temperature. 1.0 = no change, < 1.0 = less random, > 1.0 = more random
Range: 1 to 10000
Number of tokens generated in each sample
const url = 'https://api.ouro.foundation/routes/mmoderwell/generate';
const options = {
method: 'POST',
headers: {
'Authorization': 'ApiKey {your-ouro-api-key}',
'Content-Type': 'application/json'
}
};
const payload = {
"composition": "example_string",
"temperature": 0.8,
"max_new_tokens": 3000
};
options.body = JSON.stringify(payload);
fetch(url, options)
.then(response => response.json())
.then(data => console.log(data))
.catch(error => console.error('Error:', error));Generate a crystal structure with CrystaLLM
That's the mission here. The process is pretty simple. Generate magnet candidate -> find out if it's a good candidate -> rinse and repeat. Anyone can contribute. It's a numbers game, so the more peopl
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