You are not logged in, therefore you can only see 100 materials. Registration is free and unlocks all 40948 materials: Register or Log in

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 ↓
35492 4500555 C24 H20 Cr Mo6 N4 Na O36 P -1 2 Crystal Engineering of Polyoxomolybdates Based Metal--Organic Solids: The Case of Chromium Molybdate Cluster Based Metal Complexes and Coordination Polymers Crystal Growth & Design, 2011, vol: 11, page: 3381
36106 4505088 C9 H11 Na O6 P 1 21/n 1 14 Equivalence of NH4+, NH2NH3+, and OHNH3+in Directing the Noncentrosymmetric Diamondoid Network of O−H···O-Hydrogen Bonds in Dihydrogen Cyclohexane Tricarboxylate Crystal Growth & Design, 2005, vol: 5, page: 1271
32197 7102561 C14 H29 N3 Si P -1 2 Titanium complexes with imidazolin-2-iminato ligands. Chemical communications (Cambridge, England), 2004, page: 876
17441 7114849 C6 H6 Br2 P 32 2 1 154 Noncovalent binding of the halogens to aromatic donors. Discrete structures of labile Br2 complexes with benzene and toluene Chemical Communications, 2001, page: 909
26570 7111221 C8 H10 O2 S P 21 21 21 19 Enzyme-catalysed oxygenation and deoxygenation routes to chiral thiosulfinates Chemical Communications, 2002, page: 1452
36344 7110828 C23 H26 O7 P 1 21 1 4 The vitamin C route to the ciguatoxins: enantioselective synthesis of a ring F building block Chemical Communications, 2000, page: 567
32522 7106864 C10 H13 N O P 1 21 1 4 An organogel formed from a cyclic b-aminoalcohol Chem.Commun., 2011, vol: 47, page: 10746
32542 7107007 C46 H40 N6 O4 P -1 2 Shape and size mimicry in the design of ternary molecular solids: towards a robust strategy for crystal engineering Chem.Commun., 2011, vol: 47, page: 12080
32466 2223676 C6 H10 N4 O6 C 1 2/c 1 15 1,3-Phenylenediammonium dinitrate Acta Crystallographica Section E, 2009, vol: 65, page: o2601
32406 2222930 C7 H10 N6 O3 P 1 21/c 1 14 N-(1-Diacetylamino-1H-tetrazol-5-yl)acetamide Acta Crystallographica Section E, 2009, vol: 65, page: o1902

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:

diracmaterials@gmail.com