Now showing items 13-16 of 16

    • Quantum machine learning 

      Bhattacharyya, Siddhartha; Pan, Indrajit; Mani, Ashish; De, Sourav; Behrman, Elizabeth C.; Chakrabarti, Susanta (De Gruyter, 2020-06-08)
      Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical ...
    • Structure and magnetic properties of sputtered thin films of Fe0.79Ge0.21 

      Hamdeh, Hussein H.; Oliver, S. A.; Fultz, B.; Gao, Z. Q. (IEEE, 1993-10-01)
      Films of Fe0.79Ge0.21 with thicknesses of 300 nm were synthesized by ion beam sputtering, and were annealed at temperatures from 200 to 550°C. The materials were characterized by x-ray diffractometry, Mössbauer spectrometry, ...
    • Temperature dependent lattice distortion in aerogel-produced Fe Mo oxides 

      Hamdeh, Hussein H.; Al-Ghanem, Hussain; Folkerts, T. J.; Eltabey, M. M.; Ho, J. C.; Willey, R. J. (IEEE, 2008-06-01)
      Mössbauer studies have been made to evaluate the temperature dependence of lattice distortion in two aerogel-synthesized iron-molybdenum oxides having different atomic ratios Fe:Mo=1:1 and 2:3, but both with a ß-FeMoO4 ...
    • Uniformity of limits in the calculation of the magnetization of the Heisenberg linear chain 

      Unruh, Henry (IEEE, 1971-03-01)
      By making use of the Bogliubov inequality, a formula is derived which gives an upper limit to the magnetization of a linear chain of arbitrary length and which is subject to the Heisenberg Hamiltonian. It is found that the ...