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Journal ArticleDOI

From ultrasoft pseudopotentials to the projector augmented-wave method

15 Jan 1999-Physical Review B (American Physical Society)-Vol. 59, Iss: 3, pp 1758-1775
TL;DR: In this paper, the formal relationship between US Vanderbilt-type pseudopotentials and Blochl's projector augmented wave (PAW) method is derived and the Hamilton operator, the forces, and the stress tensor are derived for this modified PAW functional.
Abstract: The formal relationship between ultrasoft (US) Vanderbilt-type pseudopotentials and Bl\"ochl's projector augmented wave (PAW) method is derived. It is shown that the total energy functional for US pseudopotentials can be obtained by linearization of two terms in a slightly modified PAW total energy functional. The Hamilton operator, the forces, and the stress tensor are derived for this modified PAW functional. A simple way to implement the PAW method in existing plane-wave codes supporting US pseudopotentials is pointed out. In addition, critical tests are presented to compare the accuracy and efficiency of the PAW and the US pseudopotential method with relaxed core all electron methods. These tests include small molecules $({\mathrm{H}}_{2}{,\mathrm{}\mathrm{H}}_{2}{\mathrm{O},\mathrm{}\mathrm{Li}}_{2}{,\mathrm{}\mathrm{N}}_{2}{,\mathrm{}\mathrm{F}}_{2}{,\mathrm{}\mathrm{BF}}_{3}{,\mathrm{}\mathrm{SiF}}_{4})$ and several bulk systems (diamond, Si, V, Li, Ca, ${\mathrm{CaF}}_{2},$ Fe, Co, Ni). Particular attention is paid to the bulk properties and magnetic energies of Fe, Co, and Ni.
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Journal ArticleDOI
Edoardo Aprà1, Eric J. Bylaska1, W. A. de Jong2, Niranjan Govind1, Karol Kowalski1, T. P. Straatsma3, Marat Valiev1, H. J. J. van Dam4, Yuri Alexeev5, J. Anchell6, V. Anisimov5, Fredy W. Aquino, Raymond Atta-Fynn7, Jochen Autschbach8, Nicholas P. Bauman1, Jeffrey C. Becca9, David E. Bernholdt10, K. Bhaskaran-Nair11, Stuart Bogatko12, Piotr Borowski13, Jeffery S. Boschen14, Jiří Brabec15, Adam Bruner16, Emilie Cauet17, Y. Chen18, Gennady N. Chuev19, Christopher J. Cramer20, Jeff Daily1, M. J. O. Deegan, Thom H. Dunning21, Michel Dupuis8, Kenneth G. Dyall, George I. Fann10, Sean A. Fischer22, Alexandr Fonari23, Herbert A. Früchtl24, Laura Gagliardi20, Jorge Garza25, Nitin A. Gawande1, Soumen Ghosh20, Kurt R. Glaesemann1, Andreas W. Götz26, Jeff R. Hammond6, Volkhard Helms27, Eric D. Hermes28, Kimihiko Hirao, So Hirata29, Mathias Jacquelin2, Lasse Jensen9, Benny G. Johnson, Hannes Jónsson30, Ricky A. Kendall10, Michael Klemm6, Rika Kobayashi31, V. Konkov32, Sriram Krishnamoorthy1, M. Krishnan18, Zijing Lin33, Roberto D. Lins34, Rik J. Littlefield, Andrew J. Logsdail35, Kenneth Lopata36, Wan Yong Ma37, Aleksandr V. Marenich20, J. Martin del Campo38, Daniel Mejía-Rodríguez39, Justin E. Moore6, Jonathan M. Mullin, Takahito Nakajima, Daniel R. Nascimento1, Jeffrey A. Nichols10, P. J. Nichols40, J. Nieplocha1, Alberto Otero-de-la-Roza41, Bruce J. Palmer1, Ajay Panyala1, T. Pirojsirikul42, Bo Peng1, Roberto Peverati32, Jiri Pittner15, L. Pollack, Ryan M. Richard43, P. Sadayappan44, George C. Schatz45, William A. Shelton36, Daniel W. Silverstein46, D. M. A. Smith6, Thereza A. Soares47, Duo Song1, Marcel Swart, H. L. Taylor48, G. S. Thomas1, Vinod Tipparaju49, Donald G. Truhlar20, Kiril Tsemekhman, T. Van Voorhis50, Álvaro Vázquez-Mayagoitia5, Prakash Verma, Oreste Villa51, Abhinav Vishnu1, Konstantinos D. Vogiatzis52, Dunyou Wang53, John H. Weare26, Mark J. Williamson54, Theresa L. Windus14, Krzysztof Wolinski13, A. T. Wong, Qin Wu4, Chan-Shan Yang2, Q. Yu55, Martin Zacharias56, Zhiyong Zhang57, Yan Zhao58, Robert W. Harrison59 
Pacific Northwest National Laboratory1, Lawrence Berkeley National Laboratory2, National Center for Computational Sciences3, Brookhaven National Laboratory4, Argonne National Laboratory5, Intel6, University of Texas at Arlington7, State University of New York System8, Pennsylvania State University9, Oak Ridge National Laboratory10, Washington University in St. Louis11, Wellesley College12, Maria Curie-Skłodowska University13, Iowa State University14, Academy of Sciences of the Czech Republic15, University of Tennessee at Martin16, Université libre de Bruxelles17, Facebook18, Russian Academy of Sciences19, University of Minnesota20, University of Washington21, United States Naval Research Laboratory22, Georgia Institute of Technology23, University of St Andrews24, Universidad Autónoma Metropolitana25, University of California, San Diego26, Saarland University27, Sandia National Laboratories28, University of Illinois at Urbana–Champaign29, University of Iceland30, Australian National University31, Florida Institute of Technology32, University of Science and Technology of China33, Oswaldo Cruz Foundation34, Cardiff University35, Louisiana State University36, Chinese Academy of Sciences37, National Autonomous University of Mexico38, University of Florida39, Los Alamos National Laboratory40, University of Oviedo41, Prince of Songkla University42, Ames Laboratory43, University of Utah44, Northwestern University45, Universal Display Corporation46, Federal University of Pernambuco47, CD-adapco48, Cray49, Massachusetts Institute of Technology50, Nvidia51, University of Tennessee52, Shandong Normal University53, University of Cambridge54, Advanced Micro Devices55, Technische Universität München56, Stanford University57, Wuhan University of Technology58, Stony Brook University59
TL;DR: The NWChem computational chemistry suite is reviewed, including its history, design principles, parallel tools, current capabilities, outreach, and outlook.
Abstract: Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts and for the prediction of atomistic and electronic properties. In this regard, electronic structure packages have played a special role by using first-principle-driven methodologies to model complex chemical and materials processes. Over the past few decades, the rapid development of computing technologies and the tremendous increase in computational power have offered a unique chance to study complex transformations using sophisticated and predictive many-body techniques that describe correlated behavior of electrons in molecular and condensed phase systems at different levels of theory. In enabling these simulations, novel parallel algorithms have been able to take advantage of computational resources to address the polynomial scaling of electronic structure methods. In this paper, we briefly review the NWChem computational chemistry suite, including its history, design principles, parallel tools, current capabilities, outreach, and outlook.

342 citations

Journal ArticleDOI
TL;DR: Density functional theory calculations reveal that the substituted single Ir atom not only serves as the active site for OER but also activates the surface reactivity of NiO, which thus leads to the dramatically improved OER performance.
Abstract: Engineering single-atom electrocatalysts with high-loading amount holds great promise in energy conversion and storage application. Herein, we report a facile and economical approach to achieve an unprecedented high loading of single Ir atoms, up to ∼18wt%, on the nickel oxide (NiO) matrix as the electrocatalyst for oxygen evolution reaction (OER). It exhibits an overpotential of 215 mV at 10 mA cm-2 and a remarkable OER current density in alkaline electrolyte, surpassing NiO and IrO2 by 57 times and 46 times at 1.49 V vs RHE, respectively. Systematic characterizations, including X-ray absorption spectroscopy and aberration-corrected Z-contrast imaging, demonstrate that the Ir atoms are atomically dispersed at the outermost surface of NiO and are stabilized by covalent Ir-O bonding, which induces the isolated Ir atoms to form a favorable ∼4+ oxidation state. Density functional theory calculations reveal that the substituted single Ir atom not only serves as the active site for OER but also activates the surface reactivity of NiO, which thus leads to the dramatically improved OER performance. This synthesis method of developing high-loading single-atom catalysts can be extended to other single-atom catalysts and paves the way for industrial applications of single-atom catalysts.

342 citations

Journal ArticleDOI
TL;DR: In this article, it was shown that O-vacancy acts as a hole trap and plays a role in negative bias illumination stress instability in amorphous In-Ga-Zn-O thin film transistors.
Abstract: We find that O-vacancy (Vo) acts as a hole trap and play a role in negative bias illumination stress instability in amorphous In-Ga-Zn-O thin film transistors. Photo-excited holes drifted toward the channel/dielectric interface due to small potential barriers and can be captured by Vo in the dielectrics. While Vo(+2) defects are very stable at room temperature, their original deep states are recovered via electron capture upon annealing. We also find that Vo(+2) can diffuse in amorphous phase, including hole accumulation near the interface under negative gate bias.

342 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the cathodic and anodic limits of six room-temperature ionic liquids (ILs) formed from a combination of two common cations, 1-butyl-3-methylimidazolium (BMIM) and N,N-propylmethylpyrrolidinium (P13), and three common anions, PF6, BF4, and bis(trifluoromethylsulfonyl)imide (TFSI), using an approach that combines molecular dynamics (MD) simulations
Abstract: We investigated the cathodic and anodic limits of six room-temperature ionic liquids (ILs) formed from a combination of two common cations, 1-butyl-3-methylimidazolium (BMIM) and N,N-propylmethylpyrrolidinium (P13), and three common anions, PF6, BF4, and bis(trifluoromethylsulfonyl)imide (TFSI), using an approach that combines molecular dynamics (MD) simulations and density functional theory (DFT) calculations. All interion interactions were taken into account by explicitly modeling the entire liquid structure using classical MD, followed by DFT computations of the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energies. The relative cathodic and anodic limits of BMIM PF6, BMIM BF4, BMIM TFSI, and P13 TFSI obtained from our approach are in fairly good agreement with existing experimental data. From our DFT calculations, we also obtained the cation- and anion-projected density of states (DOS), which provide information on the likely species contributing to reductiv...

342 citations

Journal ArticleDOI
TL;DR: Of those previously unreported 'missing' materials now predicted to be stable, 15 were grown in this study; X-ray studies agreed with the predicted crystal structure in all 15 cases and could be a route to the systematic discovery of hitherto missing, realizable functional materials.
Abstract: Chemists and material scientists have often focused on the properties of previously reported compounds, but neglect numerous unreported but chemically plausible compounds that could have interesting properties. For example, the 18-valence electron ABX family of compounds features examples of topological insulators, thermoelectrics and piezoelectrics, but only 83 out of 483 of these possible compounds have been made. Using first-principles thermodynamics we examined the theoretical stability of the 400 unreported members and predict that 54 should be stable. Of those previously unreported 'missing' materials now predicted to be stable, 15 were grown in this study; X-ray studies agreed with the predicted crystal structure in all 15 cases. Among the predicted and characterized properties of the missing compounds are potential transparent conductors, thermoelectric materials and topological semimetals. This integrated process-prediction of functionality in unreported compounds followed by laboratory synthesis and characterization-could be a route to the systematic discovery of hitherto missing, realizable functional materials.

341 citations


Additional excerpts

  • ...Compounds The first-five low-energy metastable structures (total energy relative to the ground state structure) MgPdTe s41 (148) s34 (151) s3 (162) s18 (168) s14 (169) AlNiP s32 (132) s6 (132) s7 (133) s40 (139) s36 (181) AlNiAs s6 (56) s7 (57) s36 (144) s15 (205) s16 (247) AlNiSb s6 (74) s7 (75) s34 (134) s16 (267) s22 (270) AlPtSb s3 (135) s7 (143) s16 (223) s6 (231) s23 (239) GaNiSb s6 (36) s7 (85) s15 (97) s34 (113) s18 (135) GaNiBi s16 (114) s6 (122) s7 (126) s3 (134) s31 (153) GaPtSb s7 (2) s31 (20) s1 (27) s32 (90) s23 (94) InNiSb s7 (17) s6 (25) s34 (118) s16 (125) s22 (182) InPdSb s40 (26) s6 (29) s34 (52) s18 (144) s16 (159) InPtSb s7 (0) s31 (9) s1 (34) s15 (67) s16 (79) ScNiAs s14 (1) s7 (1) s40 (2) s32 (3) s15 (58) ScPdP s7 (1) s32 (1) s40 (1) s26 (31) s4 (33) ScPdAs s32 (1) s7 (1) s40 (2) s4 (12) s26 (15) ScPtBi s16 (466) s32 (487) s2 (516) s31 (598) s14 (610) YNiAs s19 (62) s27 (63) s5 (68) s20 (71) s17 (77) YPdP s2 (1) s10 (1) s6 (1) s32 (1) s29 (2) YPdAs s10 (1) s40 (6) s7 (7) s32 (7) s5 (11) LaNiN s15 (44) s13 (89) s27 (96) s41 (97) s16 (98) LaNiAs s2 (1) s10 (4) s6 (4) s7 (5) s40 (5) LaPtAs s10 (0) s40 (1) s7 (1) s32 (1) s20 (1) TiPdSn s18 (104) s5 (114) s10 (118) s32 (119) s40 (120) ZrNiPb s2 (266) s18 (442) s3 (469) s22 (471) s14 (505) ZrPdPb s37 (78) s2 (185) s18 (235) s5 (257) s6 (324) ZrPtPb s37 (42) s16 (360) s14 (373) s6 (376) s31 (489) HfNiPb s2 (309) s41 (393) s22 (404) s32 (409) s3 (473) HfPdPb s18 (254) s2 (258) s41 (263) s16 (264) s14 (290) HfPtPb s16 (187) s14 (209) s6 (213) s31 (246) s30 (250) ScRhTe s18 (456) s2 (462) s16 (536) s32 (537) s7 (537) GaIrTe s34 (123) s31 (190) s22 (255) s7 (274) s27 (286) AlIrSe s32 (400) s34 (409) s15 (485) s6 (500) s16 (501) TiRhP s40 (0) s22 (3) s7 (3) s26 (150) s4 (152) TiIrP s32 (0) s22 (0) s7 (0) s40 (1) s16 (3) TiIrAs s40 (378) s7 (379) s6 (379) s26 (474) s4 (501) TiIrSb s31 (768) s18 (799) s2 (803) s41 (816) s28 (839) ZrRhBi s18 (544) s2 (554) s16 (585) s6 (598) s14 (683) ZrIrAs s27 (23) s22 (64) s6 (64) s40 (65) s19 (91) ZrIrSb s2 (666) s32 (699) s14 (700) s18 (796) s28 (811) ZrIrBi s16 (497) s6 (517) s34 (526) s31 (533) s3 (581) HfRhP s32 (0) s40 (0) s7 (2) s26 (174) s4 (175) HfRhAs s14 (1) s40 (1) s7 (1) s32 (1) s1 (18) HfRhBi s16 (425) s6 (445) s32 (456) s31 (490) s30 (506) HfIrP s40 (30) s22 (30) s6 (31) s7 (31) s29 (80) HfIrAs s27 (192) s19 (218) s14 (240) s6 (291) s7 (291) HfIrSb s18 (787) s2 (793) s40 (807) s32 (808) s28 (849) HfIrBi s3 (285) s31 (288) s30 (294) s34 (321) s16 (337) VRhSi s7 (1) s14 (7) s26 (152) s10 (204) s4 (205) VRhGe s40 (1) s10 (1) s7 (5) s14 (8) s16 (13)...

    [...]

References
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Book
31 Dec 1993
TL;DR: The linearized augmented planewave (LAPW) method has emerged as the standard by which density functional calculations for transition metal and rare-earth containing materials are judged.
Abstract: With its extreme accuracy and reasonable computational efficiency, the linearized augmented planewave (LAPW) method has emerged as the standard by which density functional calculations for transition metal and rare-earth containing materials are judged. This volume presents a thorough and self-conta

1,150 citations