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2D Materials Explorer

Browse, search, and visualize properties of ~1,100 2D monolayer materials from the JARVIS-DFT 2D dataset. Filter by formula, elements, space group, band gap, exfoliation energy, and magnetic state. Full property card with 30+ fields per material.

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Overview

Data Source

JARVIS dft_2d — ~1,100 2D monolayer entries from jarvis.db.figshare.data('dft_2d').

Endpoints

POST /twod/search — Search materials

curl -X POST "https://atomgpt.org/twod/search" \
  -H "Authorization: Bearer sk-XYZ" \
  -H "Content-Type: application/json" \
  -d '{"formula": "MoS2"}'
Field Type Description
formula string Chemical formula
jid string JARVIS ID
elements list[string] Element symbols
element_mode string "any" or "all"
spacegroup string Space group symbol or number
bandgap_min/max float OptB88vdW band gap range (eV)
exfol_min/max float Exfoliation energy range (meV/atom)
magnetic string "yes", "no", or null (any)

Response: jid, formula, spg_symbol, bandgap, mbj_bandgap, exfoliation_energy, magmom, spillage, ehull, formation_energy.

GET /twod/data/{jid} — Full record

curl "https://atomgpt.org/twod/data/JVASP-664" \
  -H "Authorization: Bearer sk-XYZ"

Response: 30+ fields: bandgap, mbj_bandgap, hse_gap, formation_energy, exfoliation_energy, magmom, spillage, slme, ehull, Tc_supercon, epsx/y/z, mepsx/y/z, max_efg, dfpt_piezo_max_eij, max_ir_mode, n/p-Seebeck, bulk/shear modulus, poisson, structure info.

Python Examples

import requests

response = requests.get(
    "https://atomgpt.org/twod/data/JVASP-1002",
    headers={"Authorization": "Bearer sk-XYZ"},
)
data = response.json()
print(f"{data['formula']} ({data['spg_symbol']})")
print(f"  Band gap: {data['bandgap']} eV, Exfoliation: {data['exfoliation_energy']} meV/atom")

AGAPI Agent

from agapi.agents import AGAPIAgent
import os
agent = AGAPIAgent(api_key=os.environ.get("AGAPI_KEY"))
response = agent.query_sync("Show 2d materials explorer data")
print(response)

References