100 results (register for free to see all 40948 materials)
| ID (OMDB) ⇅ | ID (COD) ⇅ | Formula ⇅ | Space group H-M ⇅ | Space group IT ⇅ | Publication details | Publisher ↓ |
|---|---|---|---|---|---|---|
| 37004 | 2215753 | C21 H32 O3 | P 1 21 1 | 4 | (3aS,5aR,6R,8aR)-3a-Hydroxy-5a-methyl-6-[(1R,2E,4R)-1,4,5-trimethyl-2-hexen-1-yl]-3a,4,5,5a,6,7,8,8a-octahydro-2H-cyclopenta[e]benzofuran-2-one | Acta Crystallographica Section E, 2007, vol: 63, page: o4196 |
| 31863 | 2215924 | C8 H12 N2 O2 | P 1 21/c 1 | 14 | 1-Methyl-3-propyl-1H-pyrazole-5-carboxylic acid | Acta Crystallographica Section E, 2007, vol: 63, page: o4209 |
| 32658 | 2226213 | C6 H11 F O5 | P 21 21 21 | 19 | 6-Deoxy-6-fluoro-D-galactose | Acta Crystallographica Section E, 2010, vol: 66, page: o1315 |
| 32702 | 2226811 | C11 H10 Cl N | P 1 21/c 1 | 14 | 4-Chloro-2,5-dimethylquinoline | Acta Crystallographica Section E, 2010, vol: 66, page: o2020 |
| 33301 | 2224129 | C10 H10 N4 O3 | C 1 2 1 | 5 | 4-(2,3-Dihydroxybenzylideneamino)-3-methyl-1H-1,2,4-triazol-5(4H)-one | Acta Crystallographica Section E, 2009, vol: 65, page: o3039 |
| 33458 | 2217503 | C14 H7 N3 O3 | P 1 21/n 1 | 14 | 3-(2-Nitrophenoxy)phthalonitrile | Acta Crystallographica Section E, 2008, vol: 64, page: o356 |
| 31687 | 2214055 | C9 H9 N O4 | P 1 21/c 1 | 14 | 3,4-Dihydroxybenzoic acid acetonitrile solvate at 120 K | Acta Crystallographica Section E, 2007, vol: 63, page: o3289 |
| 31655 | 2213742 | C12 H11 N O2 | P 1 21/n 1 | 14 | 1-(5-Methyl-3-phenylisoxazol-4-yl)ethanone | Acta Crystallographica Section E, 2007, vol: 63, page: o3010 |
| 37002 | 2232131 | C24 H22 I2 Mn N6 O3 | P 1 21 1 | 4 | Diaquaiodido(2,3,5,6-tetra-2-pyridylpyrazine-\k^3^N^2^,N^1^,N^6^)manganese(II) iodide monohydrate | Acta Crystallographica Section E, 2011, vol: 67, page: m1333 |
| 34419 | 2200318 | C18 H16 Cu N2 O4 | P 1 21/a 1 | 14 | Bisaquabis(8-hydroxyquinolinato-N,O)copper(II) | Acta Crystallographica Section E, 2001, vol: 57, page: m251 |
Is your relevant material missing?
- We can share our experience running high-throughput calculations based on density functional theory.
- Alternatively, our machine learning models trained on our large database can predict relevant material properties.
Feel free to contact us if you are interested in a partnership so that we can provide computationally relevant results.
Please email us at: