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Dive into the research topics where D. M. C. Nicholson is active.

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Featured researches published by D. M. C. Nicholson.


Journal of Chemical Physics | 2005

Electronic structure and properties of isoreticular metal-organic frameworks: The case of M-IRMOF1 (M=Zn, Cd, Be, Mg, and Ca)

Miguel Fuentes-Cabrera; D. M. C. Nicholson; Bobby G. Sumpter; Michael Widom

We investigate the possibility of tailoring the electronic properties of isoreticular metal-organic materials by replacing the metal atom in the metal-organic cluster and by doping. The electronic structure of M-IRMOF1, where IRMOF1 stands for isoreticular metal-organic framework 1 and M = Be, Mg, Ca, Zn, and Cd, was examined using density-functional theory. The results show that these materials have similar band gaps (ca. 3.5 eV) and a conduction band that is split into two bands, the lower of which has a width that varies with metal substitution. This variation prompted us to investigate whether doping with Al or Li could be used to tailor the electronic properties of the Zn-IRMOF1 and Be-IRMOF1 materials. It is shown that replacing one metal atom with Al can effectively be used to create IRMOFs with different metallic properties. On the other hand, adding Li produces structural changes that render this approach less suitable.


Nano Letters | 2010

Large Discrete Resistance Jump at Grain Boundary in Copper Nanowire

Tae-Hwan Kim; X.-G. Zhang; D. M. C. Nicholson; Boyd M. Evans; Nagraj S Kulkarni; Balasubramaniam Radhakrishnan; E.A. Kenik; An-Ping Li

Copper is the current interconnect metal of choice in integrated circuits. As interconnect dimensions decrease, the resistivity of copper increases dramatically because of electron scattering from surfaces, impurities, and grain boundaries (GBs) and threatens to stymie continued device scaling. Lacking direct measurements of individual scattering sources, understanding of the relative importance of these scattering mechanisms has largely relied on semiempirical modeling. Here we present the first ever attempt to measure and calculate individual GB resistances in copper nanowires with a one-to-one correspondence to the GB structure. Large resistance jumps are directly measured at the random GBs with a value far greater than at coincidence GBs and first-principles calculations. The high resistivity of the random GB appears to be intrinsic, arising from the scaling of electron mean free path with the size of the lattice relaxation region. The striking impact of random GB scattering adds vital information for understanding nanoscale conductors.


Physical Review Letters | 2013

Elementary excitations and crossover phenomenon in liquids.

Takuya Iwashita; D. M. C. Nicholson; T. Egami

The elementary excitations of vibration in solids are phonons. But in liquids phonons are extremely short lived and marginalized. In this Letter through classical and ab initio molecular dynamics simulations of the liquid state of various metallic systems we show that different excitations, the local configurational excitations in the atomic connectivity network, are the elementary excitations in high temperature metallic liquids. We also demonstrate that the competition between the configurational excitations and phonons determines the so-called crossover phenomenon in liquids. These discoveries open the way to the explanation of various complex phenomena in liquids, such as fragility and the rapid increase in viscosity toward the glass transition, in terms of these excitations.


Journal of Magnetism and Magnetic Materials | 1995

Spin-dependent scattering and giant magnetoresistance

W. H. Butler; X.-G. Zhang; D. M. C. Nicholson; J. M. MacLaren

Abstract We consider the origins of the spin-dependent scattering which is believed to be responsible for the giant magnetoresistance effect. We argue on the basis of first-principles calculations of the electronic structure, magnetic moments, and electrical resistivities that this spin-dependent scattering originates largely from the tendency of spin-dependent atomic potentials to ‘match’ in one of the spin channels of magnetic alloys or multilayers. We also argue that the matched channel will tend to have a lower density of states at the Fermi energy. Both of these effects will contribute to the GMR. We argue that there is the potential for a very large GMR in an ideal system, but that spin-independent scattering possibly coming from misaligned spins near the interfaces prevents its observation.


Review of Scientific Instruments | 2009

Micro-differential thermal analysis detection of adsorbed explosive molecules using microfabricated bridges

Larry R. Senesac; Dechang Yi; Anders Greve; Jan Harry Hales; Zachary James Davis; D. M. C. Nicholson; Anja Boisen; Thomas Thundat

Although micromechanical sensors enable chemical vapor sensing with unprecedented sensitivity using variations in mass and stress, obtaining chemical selectivity using the micromechanical response still remains as a crucial challenge. Chemoselectivity in vapor detection using immobilized selective layers that rely on weak chemical interactions provides only partial selectivity. Here we show that the very low thermal mass of micromechanical sensors can be used to produce unique responses that can be used for achieving chemical selectivity without losing sensitivity or reversibility. We demonstrate that this method is capable of differentiating explosive vapors from nonexplosives and is additionally capable of differentiating individual explosive vapors such as trinitrotoluene, pentaerythritol tetranitrate, and cyclotrimethylenetrinitromine. This method, based on a microfabricated bridge with a programmable heating rate, produces unique and reproducible thermal response patterns within 50 ms that are characteristic to classes of adsorbed explosive molecules. We demonstrate that this micro-differential thermal analysis technique can selectively detect explosives, providing a method for fast direct detection with a limit of detection of 600x10(-12) g.


Journal of Applied Physics | 1994

Magnetic structure of the spin valve interface

D. M. C. Nicholson; W. H. Butler; X.-G. Zhang; J. M. MacLaren; Bruce Alvin Gurney; Virgil Simon Speriosu

Nonferromagnetic atoms present at Ni/Cu and Permalloy/Cu interfaces in sputtered spin valve magnetoresistive layered structures have been shown to cause reduced magnetoresistance. Here we show that a model in which the moments on the Ni atoms in the interfacial region of Ni/Cu are reduced substantially by interdiffusion with Cu is consistent with the experimental results. In contrast, we believe that moments persist at the permalloy/Cu interface, which first principle total energy calculations suggest will be disordered at finite temperatures. These reduced or disordered moments are expected to significantly reduce the GMR.


Applied Physics Letters | 2008

Detection of adsorbed explosive molecules using thermal response of suspended microfabricated bridges

Dechang Yi; Anders Greve; Jan Harry Hales; Larry R. Senesac; Zachary James Davis; D. M. C. Nicholson; Anja Boisen; Thomas Thundat

Here we present a thermophysical technique that is capable of differentiating vapor phase adsorbed explosives from nonexplosives and is additionally capable of differentiating individual species of common explosive vapors. This technique utilizes pairs of suspended microfabricated silicon bridges that can be heated in a controlled fashion. The differential thermal response of the bridges with and without adsorbed explosive vapor shows unique and reproducible characteristics depending on the nature of the adsorbed explosives. The tunable heating rate method described here is capable of providing unique signals for subnanogram quantities of adsorbed explosives within 50 ms.


Journal of Chemical Physics | 2011

A coarse-grained model for polyethylene glycol polymer.

Qifei Wang; David J. Keffer; D. M. C. Nicholson

A coarse-grained (CG) model of polyethylene glycol (PEG) was developed and implemented in CG molecular dynamics (MD) simulations of PEG chains with degree of polymerization (DP) 20 and 40. In the model, two repeat units of PEG are grouped as one CG bead. Atomistic MD simulation of PEG chains with DP = 20 was first conducted to obtain the bonded structural probability distribution functions (PDFs) and nonbonded pair correlation function (PCF) of the CG beads. The bonded CG potentials are obtained by simple inversion of the corresponding PDFs. The CG nonbonded potential is parameterized to the PCF using both an inversion procedure based on the Ornstein-Zernike equation with the Percus-Yevick approximation (OZPY(-1)) and a combination of OZPY(-1) with the iterative Boltzmann inversion (IBI) method (OZPY(-1)+IBI). As a simple one step method, the OZPY(-1) method possesses an advantage in computational efficiency. Using the potential from OZPY(-1) as an initial guess, the IBI method shows fast convergence. The coarse-grained molecular dynamics (CGMD) simulations of PEG chains with DP = 20 using potentials from both methods satisfactorily reproduce the structural properties from atomistic MD simulation of the same systems. The OZPY(-1)+IBI method yields better agreement than the OZPY(-1) method alone. The new CG model and CG potentials from OZPY(-1)+IBI method was further tested through CGMD simulation of PEG with DP = 40 system. No significant changes are observed in the comparison of PCFs from CGMD simulations of PEG with DP = 20 and 40 systems indicating that the potential is independent of chain length.


Journal of Applied Physics | 1997

Noncollinear magnetic structure in Ni0.35Fe0.65

Yang Wang; G. M. Stocks; D. M. C. Nicholson; W. A. Shelton; Vladimir Antropov; B. N. Harmon

Magnetic structure of NicFe1−c alloys in the INVAR region has long been a matter of great scientific interest and controversy. Using the locally self-consistent multiple scattering method, which has recently been extended to treat noncollinear magnetic systems, we studied the magnetic structure of Ni0.35Fe0.65 alloys. To simulate the alloys, we constructed a large fcc based sample which contains 256 sites occupied randomly by Ni and Fe atoms. The ground state magnetic structure is found to consist of noncollinear configurations associated with Fe-rich regions. In particular, Fe sites surrounded completely by other Fe atoms have antiferromagnetic alignments, while Fe sites having less than three Ni nearest-neighbors have a variety of noncollinear arrangements.


Langmuir | 2010

Effect of charge distribution on RDX adsorption in IRMOF-10.

Ruichang Xiong; David J. Keffer; Miguel Fuentes-Cabrera; D. M. C. Nicholson; Andrea Michalkova; Tetyana Petrova; Jerzy Leszczynski; Khorgolkhuu Odbadrakh; Bryant L. Doss; James P. Lewis

Quantum mechanical (QM) calculations, classical grand canonical Monte Carlo (GCMC) simulations, and classical molecular dynamics (MD) simulations are performed to test the effect of charge distribution on hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) adsorption and diffusion in IRMOF-10. Several different methods for mapping QM electron distributions onto atomic point charges are explored, including the electrostatic potential (ESP) method, Mulliken population analysis, Lowdin population analysis, and natural bond orbital analysis. Classical GCMC and MD simulations of RDX in IRMOF-10 are performed using 15 combinations of charge sources of RDX and IRMOF-10. As the charge distributions vary, interaction potential energies, the adsorption loading, and the self-diffusivities are significantly different. None of the 15 combinations are able to quantitatively capture the dependence of the energy of adsorption on local configuration of RDX as observed in the QM calculations. We observe changes in the charge distributions of RDX and IRMOF-10 with the introduction of an RDX molecule into the cage. We also observe a large dispersion contribution to the interaction energy from QM calculations that is not reproduced in the classical simulations, indicating that the source of discrepancy may not lie exclusively with the assignment of charges.

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G. M. Stocks

Oak Ridge National Laboratory

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Markus Eisenbach

Oak Ridge National Laboratory

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X.-G. Zhang

Oak Ridge National Laboratory

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Yang Wang

Pittsburgh Supercomputing Center

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W. A. Shelton

Oak Ridge National Laboratory

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Aurelian Rusanu

Oak Ridge National Laboratory

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G. Malcolm Stocks

Oak Ridge National Laboratory

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Khorgolkhuu Odbadrakh

Oak Ridge National Laboratory

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A. Gonis

Lawrence Livermore National Laboratory

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