Dedication: Commemorative Issue in Honor of Professor Karlheinz Schwarz on the Occasion of His 80th Birthday
Conflicts of Interest
References
- Schwarz, K. Optimization of the Statistical Exchange Parameter α for the Free Atoms H through Nb. Phys. Rev. B 1972, 5, 2466. [Google Scholar] [CrossRef]
- Williams, A.R.; Moruzzi, V.L.; Gelatt, C.D., Jr.; Kübler, J.; Schwarz, K. Aspects of transition-metal magnetism. J. Appl. Phys. 1982, 53, 2019. [Google Scholar] [CrossRef]
- Schwarz, K.; Mohn, P.; Blaha, P.; Kubler, J. Electronic and magnetic structure of BCC Fe-Co alloys from band theory. J. Phys. F Met. Phys. 1984, 14, 2659. [Google Scholar] [CrossRef]
- Schwarz, K.; Mohn, P. Itinerant metamagnetism in YCO2. J. Phys. F Met. Phys. 1984, 14, L129. [Google Scholar] [CrossRef]
- Entel, P.; Hoffmann, E.; Mohn, P.; Schwarz, K.; Moruzzi, V.L. First-principles calculations of the instability leading to the Invar effect. Phys. Rev. B 1993, 47, 8706. [Google Scholar] [CrossRef] [PubMed]
- Blaha, P.; Schwarz, K.; Sorantin, P.; Trickey, S.B. Full-potential, linearized augmented plane wave programs for crystalline systems. Comput. Phys. Commun. 1990, 59, 399. [Google Scholar] [CrossRef]
- WIEN2k. Available online: http://www.wien2k.at (accessed on 17 May 2022).
- Blaha, P.; Schwarz, K.; Tran, F.; Laskowski, R.; Madsen, G.K.H.; Marks, L.D. WIEN2k: An APW + lo program for calculating the properties of solids. J. Chem. Phys. 2020, 152, 074101. [Google Scholar] [CrossRef]
- Schwarz, K.; Sham, L.J.; Mattsson, A.E.; Scheffler, M. Obituary for Walter Kohn (1923–2016). Computation 2016, 4, 40. [Google Scholar] [CrossRef] [Green Version]
- Chermette, H.; Pedrini, C. MSX-Alpha Calculation of Adiabatic Potential-Energy Surfaces of Cu+ in Sodium-Chloride Lattice in the A1g Subspace—Incidence of the Copper Chlorine Distance on the Electronic-Structure. J. Chem. Phys. 1982, 77, 2460–2465. [Google Scholar] [CrossRef]
- Chermette, H. 20 Years of the Ms-X-Alpha Method. New J. Chem. 1992, 16, 1081–1088. [Google Scholar]
- Lamsabhi, A.M.; Montero-Campillo, M.M.; Mó, O.; Yañez, M. A Theoretical Survey of the UV–Visible Spectra of Axially and Peripherally Substituted Boron Subphthalocyanines. Computation 2022, 10, 14. [Google Scholar] [CrossRef]
- Sancho-García, J.-C.; San-Fabián, E. Organic Emitters Showing Excited-States Energy Inversion: An Assessment of MC-PDFT and Correlation Energy Functionals Beyond TD-DFT. Computation 2022, 10, 13. [Google Scholar] [CrossRef]
- Nagy, Á. Density Functional Theory of Coulombic Excited States Based on Nodal Variational Principle. Computation 2021, 9, 93. [Google Scholar] [CrossRef]
- Doma, S.B.; Salem, M.A.; Sen, K.D. Plasma Confined Ground and Excited State Helium Atom: A Comparison Theorem Study Using Variational Monte Carlo and Lagrange Mesh Method. Computation 2022, 9, 138. [Google Scholar] [CrossRef]
- Dai, Y.; Zubiria-Ulacia, M.; Casanova, D.; Negri, F. Impact of Charge-Resonance Excitations on CT-Mediated J-Type Aggregation in Singlet and Triplet Exciton States of Perylene Di-Imide Aggregates: A TDDFT Investigation. Computation 2022, 10, 18. [Google Scholar] [CrossRef]
- Fabiano, E.; Sarcinella, F.; Constantin, L.A.; Della Sala, F. Energy Density Functionals Based on a Generalized Screened Coulomb Potential: Linear Response and Future Perspectives. Computation 2022, 10, 30. [Google Scholar] [CrossRef]
- Rapacioli, M.; Tarrat, N. Periodic DFTB for Supported Clusters: Implementation and Application on Benzene Dimers Deposited on Graphene. Computation 2022, 10, 39. [Google Scholar] [CrossRef]
- Sekaran, S.; Saubanère, M.; Fromager, E. Local Potential Functional Embedding Theory: A Self-Consistent Flavor of Density Functional Theory for Lattices without Density Functionals. Computation 2022, 10, 45. [Google Scholar] [CrossRef]
- Ema, I.; Ramírez, G.; López, R.; García de la Vega, J.M. Generation of Basis Sets for Accurate Molecular Calculations: Application to Helium Atom and Dimer. Computation 2022, 10, 65. [Google Scholar] [CrossRef]
- Ramanantoanina, H. LFDFT—A Practical Tool for Coordination Chemistry. Computation 2022, 10, 70. [Google Scholar] [CrossRef]
- Pernot, P.; Savin, A. Should We Gain Confidence from the Similarity of Results between Methods? Computation 2022, 10, 27. [Google Scholar] [CrossRef]
- Richter, M.; Kim, S.-J.; Koepernik, K. Helge Rosner and Arnulf M?bius, Accuracy and Precision in Electronic Structure Computation: Wien2k and FPLO. Computation 2022, 10, 28. [Google Scholar] [CrossRef]
- Kalantari, L.; Tran, F.; Blaha, P. Density Functional Theory Study of Metal and Metal-Oxide Nucleation and Growth on the Anatase TiO2(101) Surface. Computation 2022, 9, 125. [Google Scholar] [CrossRef]
- Naseri, M.; Jalilian, J.; Salahub, D.R.; Lourenço, M.P.; Rezaei, G. Hexatetra-Carbon: A Novel Two-Dimensional Semiconductor Allotrope of Carbon. Computation 2022, 10, 19. [Google Scholar] [CrossRef]
- Rubel, O.; Blaha, P. Length-Gauge Optical Matrix Elements in WIEN2k. Computation 2022, 10, 22. [Google Scholar] [CrossRef]
- Zhang, L.; Kozhevnikov, A.; Schulthess, T.; Cheng, H.P.; Trickey, S.B. Performance Enhancement of APW + lo Calculations by Simplest Separation of Concerns. Computation 2022, 10, 43. [Google Scholar] [CrossRef]
- Lafargue-Dit-Hauret, W.; Rocquefelte, X. Influence of the chemical pressure on the magnetic properties of the mixed anion cuprates Cu2OX2 (X = Cl, Br, I). Computation 2022, 10, 73. [Google Scholar] [CrossRef]
- Gaumard, R.; Dragún, D.; Pedroza-Montero, J.N.; Alonso, B.; Guesmi, H.; Malkin Ondík, I.; Mineva, T. Regression Machine Learning Models Used to Predict DFT-Computed NMR Parameters of Zeolites. Computation 2022, 10, 74. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Blaha, P.; Chermette, H. Dedication: Commemorative Issue in Honor of Professor Karlheinz Schwarz on the Occasion of His 80th Birthday. Computation 2022, 10, 78. https://doi.org/10.3390/computation10050078
Blaha P, Chermette H. Dedication: Commemorative Issue in Honor of Professor Karlheinz Schwarz on the Occasion of His 80th Birthday. Computation. 2022; 10(5):78. https://doi.org/10.3390/computation10050078
Chicago/Turabian StyleBlaha, Peter, and Henry Chermette. 2022. "Dedication: Commemorative Issue in Honor of Professor Karlheinz Schwarz on the Occasion of His 80th Birthday" Computation 10, no. 5: 78. https://doi.org/10.3390/computation10050078
APA StyleBlaha, P., & Chermette, H. (2022). Dedication: Commemorative Issue in Honor of Professor Karlheinz Schwarz on the Occasion of His 80th Birthday. Computation, 10(5), 78. https://doi.org/10.3390/computation10050078