''
You're browsing a preview of 500 materials. Log in for full access.

500 results

ID (Database) ⇅ ID (COD) ⇅ Formula ⇅ Space group H-M ⇅ Space group IT ⇅ Publication details Publisher ⇅
51 4086129 C26 H25 O2 P Si P 1 21 1 4 Sterically Congested 5-Diphenylphosphinoacenaphth-6-yl-silanes and -silanols Organometallics, 2015, vol: 34, page: 3873
52 4075353 C14 H15 F6 Ir O P -1 2 \a- and \b-Fluorine Elimination Reactions Induced by Reduction of Iridium−Fluoroalkyl Complexes. Selective Formation of Fluoroalkylidene and Hydrofluoroalkene Ligands Organometallics, 2006, vol: 25, page: 2908
53 4079576 C16 H6 F12 Zn P -1 2 Homogeneous Model Complexes for Supported Rhenia Metathesis Catalysts Organometallics, 2012, vol: 31, page: 7558
54 4072363 C14 H20 N6 Ni O4 P 1 21/n 1 14 Ring Opening of Organosilicon-Substituted Benzoxazolinone: A Convenient Route to Chelating Ureato and Carbamido Ligands Organometallics, 2008, vol: 27, page: 6579
55 4068538 C6 H8 Mo O3 P 21 21 21 19 Kinetic Studies on the Oxidation of \h5-Cyclopentadienyl Methyl Tricarbonyl Molybdenum(II) and the Use of Its Oxidation Products as Olefin Epoxidation Catalysts Organometallics, 2009, vol: 28, page: 639
56 4072021 C30 H24 P -1 2 Carbon−Carbon Bond Formation of \a-Alkynylzirconacyclopentenes via Cyclization or a Cu/Pd-Mediated Cyclization/Cross-Coupling Sequence with Aryl Iodides Organometallics, 2008, vol: 27, page: 5619
57 4079281 C22 H22 Cl Mn N4 O6 P -1 2 Divergent Reactivity of Mixed-Ligand Manganese(I) Carbonyl--Isocyanide Complexes toward Primary Amines Organometallics, 2012, vol: 31, page: 6420
58 4083805 C10 H9 Cl2 N3 Pt P 1 21/n 1 14 Hydridodimethylplatinum(IV) Complexes with Bis(pyridine) Ligands:  Effect of Chelate Ring Size on Reactivity Organometallics, 2006, vol: 25, page: 1583
59 4073329 C11 H20 Cl3 Ga N2 P -1 2 Synthesis, Characterization, and Structure of [GaCl3(NHC)] Complexes Organometallics, 2007, vol: 26, page: 3256
60 4062110 C20 H22 Cl2 N2 Ti P -1 2 Organometallics, 2003
Items per page:   10   20   50   100  

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:

ap@doubletlabs.com