Academic literature on the topic 'Solids electronic structure'

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Journal articles on the topic "Solids electronic structure"

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Schwarz, Karlheinz, Peter Blaha, and S. B. Trickey. "Electronic structure of solids with WIEN2k." Molecular Physics 108, no. 21-23 (November 10, 2010): 3147–66. http://dx.doi.org/10.1080/00268976.2010.506451.

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Burdett, Jeremy K. "Electronic Structure and Properties of Solids." Journal of Physical Chemistry 100, no. 31 (January 1996): 13263–74. http://dx.doi.org/10.1021/jp953650b.

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Fulde, Peter. "Wavefunction-based electronic-structure calculations for solids." Nature Physics 12, no. 2 (February 2016): 106–7. http://dx.doi.org/10.1038/nphys3653.

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Freeman, A. J. "Structure and Electronic Properties of Complex Solids." Berichte der Bunsengesellschaft für physikalische Chemie 96, no. 11 (November 1992): 1512–18. http://dx.doi.org/10.1002/bbpc.19920961103.

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Mazin, I. I. "A school on the electronic structure of solids." Uspekhi Fizicheskih Nauk 155, no. 8 (1988): 735–36. http://dx.doi.org/10.3367/ufnr.0155.198808o.0735.

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Burdett, Jeremy K., and Gordon J. Miller. "Polyhedral clusters in solids. Electronic structure of pentlandite." Journal of the American Chemical Society 109, no. 13 (June 1987): 4081–91. http://dx.doi.org/10.1021/ja00247a039.

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Mazin, I. I. "A school on the electronic structure of solids." Soviet Physics Uspekhi 31, no. 8 (August 31, 1988): 783–84. http://dx.doi.org/10.1070/pu1988v031n08abeh004957.

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Bryant, Garnett W., and W. Jaskolski. "Electronic structure of quantum-dot molecules and solids." Physica E: Low-dimensional Systems and Nanostructures 13, no. 2-4 (March 2002): 293–96. http://dx.doi.org/10.1016/s1386-9477(01)00540-9.

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Voit, J. "Electronic Structure of Solids with Competing Periodic Potentials." Science 290, no. 5491 (October 20, 2000): 501–3. http://dx.doi.org/10.1126/science.290.5491.501.

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Prince, Kevin. "Electronic and geometric structure of solids and surfaces." Synchrotron Radiation News 7, no. 6 (November 1994): 12. http://dx.doi.org/10.1080/08940889408261310.

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Dissertations / Theses on the topic "Solids electronic structure"

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Guo, G. Y. "Study of the electronic structures of layer-structure transition metal chalcogenides and their intercalation complexes." Thesis, University of Cambridge, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233953.

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In this thesis, we present results of studies of the electronic band structures and related electronic properties of some layered transition metal chalcogenides and their intercalation complexes. The materials investigated include group VIIc transition metal dichalcogenides, and 2H-TaS2 and its lithium-, lead-, and tin-intercalated complexes, as well as dihafnium sulphide and selenide. Both experimental measurements and theoretical elect'onic band structure calculations have been carried out. The types of measurements conducted consist of reflectivity measurements in the energy range from 0.5 eV to 4.5 eV using the home-made reflectivity spectrometer, and electron energy loss measurements in the energy range up to 100 eV using the scanning transmission electron microscope as well as some characterization experiments (structural, chemical composition and thermal properties). The experimental investigations were restricted to the layered group VIIc metal dichalcogenides. All the electronic band structures are calculated using the linearized muffin-tin orbital (LMTO) method, and are reported for the first time except PdTe2 and 2H-TaS2. The obtained electronic band structures for the Ni-group metal dichalcogenides, and the semiconductor-metal shift in progression from PtS2 through PtSe2 to PtTe2 are discussed in terms of the binding energies of the atomic valence orbitals of the constituent atoms, the local coordination of the metal atoms and the symmetry of the crystals as well as the charge transfer effects. A superlattice structural phase transition is proposed for PtSe2, which may possibly explain the anomaly observed in the previous transport measurement. The previous photoemission spectra from NiTe2, PdTe2 and PtTe2, and dHvA measurement on PdTe2 are compared with their band structures in details, and a good agreement is found. Other available experimental data including the previous transport, optical and magnetic susceptibility measurements as well as the reflectivity and electron energy loss spectra measured in this work are also discussed in terms of these electronic structures. The band structure calculations for dihafnium chalcogenides predict that these materials are metals. They also suggest that there is a strong bonding between Hf atoms in the adjacent layers, thus giving rise to the rigidity in the c-direction which may preclude the intercalation of these materials. The results for 2H-TaS2 and its intercalation complexes show that the rigid band model is essentially correct for 2H-LiTaS2 but is an oversimplication for the post-transition metal intercalation compounds. Changes in the electronic structure upon intercalation are discussed in terms of the intercalant-host charge transfer and the hybridisation between the host states and the intercalation valence orbitals. Electrical conduction in 2H-PbTaS2 and SnTaS2 is found to be largely due to the p-valence electrons from the intercalant Pb (Sn) layers, resulting in the considerable increase in the superconducting transition temperature following intercalation. The results are also compared with the observed optical and transport properties and a broad agreement is found. The band structures and the electronic properties of other layered transition metal dichalcogenides and their intercalation complexes, as well as the band structure calculation techniques for the layered compounds are also reviewed in this thesis.
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Kortus, Jens. "Electronic structure, magnetic ordering and phonons in molecules and solids." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola&quot, 2009. http://nbn-resolving.de/urn:nbn:de:swb:105-4440476.

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The present work gives an overview of the authors work in the field of electronic structure calculations. The main objective is to show how electronic structure methods in particular density functional theory (DFT) can be used for the description and interpretation of experimental results in order to enhance our understanding of physical and chemical properties of materials. The recently found superconductor MgB2 is an example where the electronic structure was the key to our understanding of the surprising properties of this material. The experimental confirmation of the predicted electronic structure from first principles calculations was very important for the acceptance of earlier theoretical suggestions. Molecular crystals build from magnetic clusters containing a few transition metal ions and organic ligands show fascinating magnetic properties at the nanoscale. DFT allows for the investigation of magnetic ordering and magnetic anisotropy energies. The magnetic anisotropy which results mainly from the spin-orbit coupling determines many of the properties which make the single molecule magnets interesting.
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Kortus, Jens. "Electronic structure, magnetic ordering and phonons in molecules and solids." Doctoral thesis, [S.l. : s.n.], 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=969764359.

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Allan, N. L. "Electronic structure of molecules and chemically bonded solids in momentum space." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371504.

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McInnes, Duncan A. "A tight binding model in k-space : applications." Thesis, University of Oxford, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.303609.

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Magyari-Köpe, Blanka. "Structural stability of solids from first principles theory." Doctoral thesis, KTH, Physics, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3366.

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Clement, Marjory Carolena. "In Pursuit of Local Correlation for Reduced-Scaling Electronic Structure Methods in Molecules and Periodic Solids." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104588.

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Over the course of the last century, electronic structure theory (or, alternatively, computational quantum chemistry) has grown from being a fledgling field to being a ``full partner with experiment" [Goddard textit{Science} textbf{1985}, textit{227} (4689), 917--923]. Numerous instances of theory matching experiment to very high accuracy abound, with one excellent example being the high-accuracy textit{ab initio} thermochemical data laid out in the 2004 work of Tajti and co-workers [Tajti et al. textit{J. Chem. Phys.} textbf{2004}, textit{121}, 11599] and another being the heats of formation and molecular structures computed by Feller and co-workers in 2008 [Feller et al. textit{J. Chem. Phys.} textbf{2008}, textit{129}, 204105]. But as the authors of both studies point out, this very high accuracy comes at a very high cost. In fact, at this point in time, electronic structure theory does not suffer from an accuracy problem (as it did in its early days) but a cost problem; or, perhaps more precisely, it suffers from an accuracy-to-cost ratio problem. We can compute electronic energies to nearly any precision we like, textit{as long as we are willing to pay the associated cost}. And just what are these high computational costs? For the purposes of this work, we are primarily concerned with the way in which the computational cost of a given method scales with the system size; for notational purposes, we will often introduce a parameter, $N$, that is proportional to the system size. In the case of Hartree-Fock, a one-body wavefunction-based method, the scaling is formally $N^4$, and post-Hartree-Fock methods fare even worse. The coupled cluster singles, doubles, and perturbative triples method [CCSD(T)], which is frequently referred to as the ``gold standard" of quantum chemistry, has an $N^7$ scaling, making it inapplicable to many systems of real-world import. If highly accurate correlated wavefunction methods are to be applied to larger systems of interest, it is crucial that we reduce their computational scaling. One very successful means of doing this relies on the fact that electron correlation is fundamentally a local phenomenon, and the recognition of this fact has led to the development of numerous local implementations of conventional many-body methods. One such method, the DLPNO-CCSD(T) method, was successfully used to calculate the energy of the protein crambin [Riplinger, et al. textit{J. Chem. Phys.} textbf{2013}, textit{139}, 134101]. In the following work, we discuss how the local nature of electron correlation can be exploited, both in terms of the occupied orbitals and the unoccupied (or virtual) orbitals. In the case of the former, we highlight some of the historical developments in orbital localization before applying orbital localization robustly to infinite periodic crystalline systems [Clement, et al. textbf{2021}, textit{Submitted to J. Chem. Theory Comput.}]. In the case of the latter, we discuss a number of different ways in which the virtual space can be compressed before presenting our pioneering work in the area of iteratively-optimized pair natural orbitals (``iPNOs") [Clement, et al. textit{J. Chem. Theory Comput.} textbf{2018}, textit{14} (9), 4581--4589]. Concerning the iPNOs, we were able to recover significant accuracy with respect to traditional PNOs (which are unchanged throughout the course of a correlated calculation) at a comparable truncation level, indicating that our improved PNOs are, in fact, an improved representation of the coupled cluster doubles amplitudes. For example, when studying the percent errors in the absolute correlation energies of a representative sample of weakly bound dimers chosen from the S66 test suite [v{R}ez'{a}c, et al. textit{J. Chem. Theory Comput.} textbf{2011}, textit{7} (8), 2427--2438], we found that our iPNO-CCSD scheme outperformed the standard PNO-CCSD scheme at every truncation threshold ($tpno$) studied. Both PNO-based methods were compared to the canonical CCSD method, with the iPNO-CCSD method being, on average, 1.9 times better than the PNO-CCSD method at $tpno = 10^{-7}$ and more than an order of magnitude better for $tpno < 10^{-10}$ [Clement, et al. textit{J. Chem. Theory Comput.} textbf{2018}, textit{14} (9), 4581--4589]. When our improved PNOs are combined with the PNO-incompleteness correction proposed by Neese and co-workers [Neese, et al. textit{J. Chem. Phys.} textbf{2009}, textit{130}, 114108; Neese, et al. textit{J. Chem. Phys.} textbf{2009}, textit{131}, 064103], the results are truly astounding. For a truncation threshold of $tpno = 10^{-6}$, the mean average absolute error in binding energy for all 66 dimers from the S66 test set was 3 times smaller when the incompleteness-corrected iPNO-CCSD method was used relative to the incompleteness-corrected PNO-CCSD method [Clement, et al. textit{J. Chem. Theory Comput.} textbf{2018}, textit{14} (9), 4581--4589]. In the latter half of this work, we present our implementation of a limited-memory Broyden-Fletcher-Goldfarb-Shanno (BFGS) based Pipek-Mezey Wannier function (PMWF) solver [Clement, et al. textbf{2021}, textit{Submitted to J. Chem. Theory Comput.}]. Although orbital localization in the context of the linear combination of atomic orbitals (LCAO) representation of periodic crystalline solids is not new [Marzari, et al. textit{Rev. Mod. Phys.} textbf{2012}, textit{84} (4), 1419--1475; J`{o}nsson, et al. textit{J. Chem. Theory Comput.} textbf{2017}, textit{13} (2), 460--474], to our knowledge, this is the first implementation to be based on a BFGS solver. In addition, we are pleased to report that our novel BFGS-based solver is extremely robust in terms of the initial guess and the size of the history employed, with the final results and the time to solution, as measured in number of iterations required, being essentially independent of these initial choices. Furthermore, our BFGS-based solver converges much more quickly and consistently than either a steepest ascent (SA) or a non-linear conjugate gradient (CG) based solver, with this fact demonstrated for a number of 1-, 2-, and 3-dimensional systems. Armed with our real, localized Wannier functions, we are now in a position to pursue the application of local implementations of correlated many-body methods to the arena of periodic crystalline solids; a first step toward this goal will, most likely, be the study of PNOs, both conventional and iteratively-optimized, in this context.
Doctor of Philosophy
Increasingly, the study of chemistry is moving from the traditional wet lab to the realm of computers. The physical laws that govern the behavior of chemical systems, along with the corresponding mathematical expressions, have long been known. Rapid growth in computational technology has made solving these equations, at least in an approximate manner, relatively easy for a large number of molecular and solid systems. That the equations must be solved approximately is an unfortunate fact of life, stemming from the mathematical structure of the equations themselves, and much effort has been poured into developing better and better approximations, each trying to balance an acceptable level of accuracy loss with a realistic level of computational cost and complexity. But though there has been much progress in developing approximate computational chemistry methods, there is still great work to be done. textit{Many} chemical systems of real-world import (particularly biomolecules and potential pharmaceuticals) are simply too large to be treated with any methods that consistently deliver acceptable accuracy. As an example of the difficulties that come with trying to apply accurate computational methods to systems of interest, consider the seminal 2013 work of Riplinger and co-workers [Riplinger, et al. textit{J. Chem. Phys.} textbf{2013}, textit{139}, 134101]. In this paper, they present the results of a calculation performed on the protein crambin. The method used was DLPNO-CCSD(T), an approximation to the ``gold standard" computational method CCSD(T). The acronym DLPNO-CCSD(T) stands for ``domain-based local pair natural orbital coupled cluster with singles, doubles, and perturbative triples." In essence, this method exploits the fact that electron-electron interactions (``electron correlation") are a short-range phenomenon in order to represent the system in a mathematically more compact way. This focus on the locality of electron correlation is a crucial piece in the effort to bring down computational cost. When talking about computational cost, we will often talk about how the cost scales with the approximate system size $N$. In the case of CCSD(T), the cost scales as $N^{7}$. To see what this means, consider two chemical systems textit{A} and textit{B}. If system textit{B} is twice as large as system textit{A}, then the same calculation run on both systems will take $2^{7} = 128$ times longer on system textit{B} than on system textit{A}. The DLPNO-CCSD(T) method, on the other hand, scales linearly with the system size, provided the system is sufficiently large (we say that it is ``asymptotically linearly scaling"), and so, for our example systems textit{A} and textit{B}, the calculation run on system textit{B} should only take twice as long as the calculation run on system textit{A}. But despite the favorable scaling afforded by the DLPNO-CCSD(T) method, the time to solution is still prohibitive. In the case of crambin, a relatively small protein with 644 atoms, the calculation took a little over 30 days. Clearly, such timescales are unworkable for the field of biochemical research, where the focus is often on the interactions between multiple proteins or other large biomolecules and where many more data points are required. In the work that follows, we discuss in more detail the genesis of the high costs that are associated with highly accurate computational methods, as well as some of the approximation techniques that have already been employed, with an emphasis on local correlation techniques. We then build off this foundation to discuss our own work and how we have extended such approximation techniques in an attempt to further increase the possible accuracy to cost ratio. In particular, we discuss how iteratively-optimized pair natural orbitals (the PNOs of the DLPNO-CCSD(T) method) can provide a more accurate but also more compact mathematical representation of the system relative to static PNOs [Clement, et al. textit{J. Chem. Theory Comput.} textbf{2018}, textit{14} (9), 4581--4589]. Additionally, we turn our attention to the problem of periodic infinite crystalline systems, a class of materials less commonly studied in the field of computational chemistry, and discuss how the local correlation techniques that have already been applied with great success to molecular systems can potentially be applied in this domain as well [Clement, et al. textbf{2021}, textit{Submitted to J. Chem. Theory Comput.}].
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Brandenburg, Jan Gerit [Verfasser]. "Development and Application of Electronic Structure Methods for Noncovalent Interactions in Organic Solids / Jan Gerit Brandenburg." Bonn : Universitäts- und Landesbibliothek Bonn, 2015. http://d-nb.info/119893350X/34.

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Hunold, Oliver [Verfasser], Jochen M. [Akademischer Betreuer] Schneider, and Paul H. [Akademischer Betreuer] Mayrhofer. "Synthesis, electronic structure, elastic properties, and interfacial behavior of icosahedral boron-rich solids / Oliver Hunold ; Jochen Michael Schneider, Paul H. Mayrhofer." Aachen : Universitätsbibliothek der RWTH Aachen, 2017. http://d-nb.info/1162498196/34.

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Schmechel, Roland. "Einfluß von Strukturstörungen auf die optischen und elektronischen Eigenschaften von borreichen Festkörpern mit Ikosaederstruktur - Influence of structure defects on optical and electronic properties of icosahedral boron rich solids." Gerhard-Mercator-Universitaet Duisburg, 2001. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-06012001-114802/.

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Boron and boron rich solids are known to have a high concentration on intrinsic structural imperfections. From known structure data of real crystals and known band structure calculations of perfect ideal crystals a correlation between intrinsic structure defect concentration and electron deficit in the valence band is concluded. This correlation forms the basis for the following theses: 1. The electron deficit in the valence band of a perfect crystal is the driving force for the intrinsic structure defects in a real crystal. 2. The small electron deficit becomes compensated by the structure defects - this explains the semiconducting behavior. 3. The structure defects are the reason for the high density of localized electronic states in the band gap. The photoluminescence of beta-rhombohedral boron in the range 0.75eV to 1.4eV under interband excitation was investigated systematically and was interpreted using the one-dimensional Franck-Conden-Model. The only partially occupied B13-position in beta-rhombohedra l boron is suggested to be the reason for the localized electronic state, which is involved in the photoluminescence process. Together with an investigation of the time-depending photoconductivity under interband excitation the energy band schema of beta-rhombohedral boron is improved. The improved energy band schema is able to explain all known experimental data including the fatiguing of photoluminescence. An investigation of FIR-spectra of boron carbide and metal doped beta-rhombohedral boron by Kramers-Kronig-Analysis gives information on the main transport processes. Beside hopping conduction of localized electrons, band conduction of delocalized electrons were found. While holes in the valence band are the delocalized charge carriers in boron carbide, in vanadium doped beta-rhombohedral boron delocalized electrons in an extrinsic impurity band are suggested
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Books on the topic "Solids electronic structure"

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Atomic and electronic structure of solids. Cambridge, UK: Cambridge University Press, 2003.

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Kaxiras, Efthimios. Atomic and electronic structure of solids. Cambridge, UK: Cambridge University Press, 2003.

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The electronic structure and chemistry of solids. Oxford [Oxfordshire]: Oxford University Press, 1987.

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Electronic structure of materials. Oxford: Clarendon Press, 1993.

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Bruce, Harmon, and Yaresko Alexander, eds. Electronic structure and magneto-optical properties of solids. Dordrecht: Kluwer Academic Publishers, 2004.

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Antonov, Victor. Electronic structure and magneto-optical properties of solids. Dordrecht: Kluwer Academic Publishers, 2004.

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Brazilian School on Electronic Structure (2nd 1989 Olinda, Brazil). Electronic structure of atoms, molecules and solids : Brazilian School on Electronic Structure II. Edited by Canuto Sylvio, Castro José D'Albuquerque e, and Paixão Fernando J. Singapore: World Scientific, 1990.

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Dreyssé, Hugues, ed. Electronic Structure and Physical Properies of Solids. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-46437-9.

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I, Likhtenshteĭn A., and Postnikov A. V, eds. Magnetism and the electronic structure of crystals. Berlin: Springer-Verlag, 1992.

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Marie-Liesse, Doublet, and Iung Christophe, eds. Orbital approach to the electronic structure of solids. Oxford: Oxford University Press, 2012.

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Book chapters on the topic "Solids electronic structure"

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Warnes, L. A. A. "The Structure of Solids." In Electronic Materials, 1–31. London: Macmillan Education UK, 1990. http://dx.doi.org/10.1007/978-1-349-21045-9_1.

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Warnes, L. A. A. "The Structure of Solids." In Electronic Materials, 1–31. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4615-6893-3_1.

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Wills, John M., Mebarek Alouani, Per Andersson, Anna Delin, Olle Eriksson, and Oleksiy Grechnyev. "Chemical Bonding of Solids." In Full-Potential Electronic Structure Method, 111–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15144-6_11.

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Bovensiepen, Uwe, Silke Biermann, and Luca Perfetti. "The Electronic Structure of Solids." In Dynamics at Solid State Surfaces and Interfaces, 1–25. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527646463.ch1.

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Himpsel, Franz J. "Determination of the Electronic Structure of Solids." In Electronic Materials, 41–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84359-4_4.

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Lodder, A., and J. P. Dekker. "Electromigration and Electronic Structure." In Properties of Complex Inorganic Solids 2, 49–60. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-1205-9_5.

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Economou, E. N. "Electronic Structure of α-SiH." In Hydrogen in Disordered and Amorphous Solids, 15–19. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4899-2025-6_2.

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Galsin, Joginder Singh. "Electronic Structure of Pure Metallic Solids." In Impurity Scattering in Metallic Alloys, 61–92. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1241-7_4.

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Franzen, Hugo Friedrich. "The Electronic Structure of Crystalline Solids." In Physical Chemistry of Inorganic Crystalline Solids, 135–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-71237-1_10.

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Ekman, Mathias, and Vidvuds Ozoliņš. "Electronic Structure and Bonding in Ti5Si3." In Properties of Complex Inorganic Solids, 191–95. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-5943-6_25.

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Conference papers on the topic "Solids electronic structure"

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Canuto, Sylvia, José D' Albuquerque e Castro, and Fernando J. Paixão. "Electronic Structure of Atoms, Molecules and Solids." In II Brazilian School on Electronic Structure. WORLD SCIENTIFIC, 1990. http://dx.doi.org/10.1142/9789814540780.

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Switendick, Alfred C. "Electronic structure and charge density of zirconium diboride." In Boron-rich solids. AIP, 1991. http://dx.doi.org/10.1063/1.40785.

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Nadykto, B. A. "Electronic structure of elements and compounds and electronic phases of solids." In Plutonium futures-The science (Topical conference on Plutonium and actinides). AIP, 2000. http://dx.doi.org/10.1063/1.1292352.

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Ahmed, Rashid, Maqsood Ahmed, M. A. Saeed, and Fazal‐e‐Aleem. "Computational Methods; Tool for Electronic Structure Analysis of Solids." In MODERN TRENDS IN PHYSICS RESEARCH: First International Conference on Modern Trends in Physics Research; MTPR-04. American Institute of Physics, 2005. http://dx.doi.org/10.1063/1.1896504.

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Franz, R., and H. Werheit. "Influence of the Jahn-Teller effect on the electronic band structure of boron-rich solids containing B12 icosahedra." In Boron-rich solids. AIP, 1991. http://dx.doi.org/10.1063/1.40840.

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MŁYNARSKI, P., D. BALDOMIR, M. VALLADARES, M. IGLESIAS, D. SUÁREZ-de-LIS, and M. PEREIRO. "ELECTRONIC STRUCTURE OF MIXED COPPER-COBALT CLUSTERS: NONLOCAL DENSITY FUNCTIONAL STUDY." In Proceedings of the Fifth International Workshop on Non-Crystalline Solids. WORLD SCIENTIFIC, 1998. http://dx.doi.org/10.1142/9789814447225_0031.

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RICHTER, M., K. KOEPERNIK, and H. ESCHRIG. "FULL-POTENTIAL LOCAL-ORBITAL APPROACH TO THE ELECTRONIC STRUCTURE OF SOLIDS AND MOLECULES." In 43rd Karpacz Winter School of Theoretical Physics. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812709455_0009.

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Khon, Yury A., Petr P. Kaminskii, and Evgeniya A. Moldovanova. "The effect of the electronic subsystem on the deformation and stress localization in the surface layer of solids." In ADVANCED MATERIALS WITH HIERARCHICAL STRUCTURE FOR NEW TECHNOLOGIES AND RELIABLE STRUCTURES 2016: Proceedings of the International Conference on Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2016. Author(s), 2016. http://dx.doi.org/10.1063/1.4966379.

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Rettig, L., R. Cortes, H. A. Dürr, J. Fink, U. Bovensiepen, and M. Wolf. "Transient Electronic Structure of Solids and Surfaces studied with Time- and Angle-Resolved Photoemission." In International Conference on Ultrafast Phenomena. Washington, D.C.: OSA, 2010. http://dx.doi.org/10.1364/up.2010.fa1.

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Gomez-Campos, Francisco M., Erik S. Skibinsky-Gitlin, S. Rodriguez-Bolivar, Marco Califano, Panagiotis Rodosthenous, Juan A. Lopez-Villanueva, and Juan E. Carceller. "Influence of dimensionality and stoichiometry in the electronic structure of InAs quantum dot solids." In 2021 13th Spanish Conference on Electron Devices (CDE). IEEE, 2021. http://dx.doi.org/10.1109/cde52135.2021.9455730.

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Reports on the topic "Solids electronic structure"

1

Smith, Kevin E. Understanding and Controlling Conductivity Transitions in Correlated Solids: Spectroscopic Studies of Electronic Structure in Vanadates (Final Report). Office of Scientific and Technical Information (OSTI), March 2019. http://dx.doi.org/10.2172/1498734.

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Gregori, G., S. H. Glenzer, F. J. Forest, S. Kuhlbrodt, R. Redmer, G. Faussurier, C. Blancard, P. Renaudin, and O. L. Landen. Investigation of the Electronic Structure of Solid Density Plasmas by X-Ray Scattering. Office of Scientific and Technical Information (OSTI), May 2003. http://dx.doi.org/10.2172/15005133.

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Chelikowsky, J. R. Theory of the electronic and structural properties of solid state oxides. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6564106.

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Chelikowsky, J. R. Theory of the electronic and structural properties of solid state oxides. Annual technical report 1993. Office of Scientific and Technical Information (OSTI), June 1993. http://dx.doi.org/10.2172/10162151.

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Haddon, Robert C. Final Report for DOE Grant 97-00, Solid state electronic structure and properties of neutral carbon-based radicals. Office of Scientific and Technical Information (OSTI), November 2001. http://dx.doi.org/10.2172/805758.

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Barbara, Paul F. Ultrafast Near-Field Scanning Optical Microscopy (NSOM) of Emerging Display Technology Media: Solid State Electronic Structure and Dynamics,. Fort Belvoir, VA: Defense Technical Information Center, May 1995. http://dx.doi.org/10.21236/ada294879.

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Chelikowsky, J. R. Theory of the electronic and structural properties of solid state oxides. Progress report, [July 1, 1992--June 30, 1993]. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/10159378.

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Chelikowsky, J. R. Theory of the electronic and structural properties of solid state oxides. Progress report, [July 1, 1991--June 30, 1992]. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/10159577.

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