Full name Familienname, Vorname
Madsen, Georg Kent Hellerup
 
Main Affiliation Organisations­zuordnung
 

Results 1-153 of 153 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Kraushofer, Florian ; Syböck, Alexander ; Haager, Lena ; Sombut, Panukorn ; Rafsanjani Abbasi, Ali ; Buchner, Florian ; Lewis, Faith Julia ; Eder, Moritz Maximilian Joachim ; Pavelec, Jiri ; Rheinfrank, Erik Hermann ; Franceschi, Giada ; Birschitzky, Viktor ; Riva, Michele ; Meier, M. ; Franchini, Cesare ; Schmid, Michael ; Diebold, Ulrike ; Madsen, Georg Kent Hellerup ; Parkinson, Gareth Stability of Model Single-Atom Catalysts in Realistic ConditionsPresentation Vortrag20-Apr-2026
2Adel-2026-Physical Chemistry Chemical Physics-vor.pdf.jpgAdel, Alexander ; Wanzenböck, Ralf ; Madsen, Georg K. H. Completing the hierarchy of rotational defects in monolayer MoS₂ through symmetry-aware evolutionary searchArticle Artikel 14-Jan-2026
3Wieser-2025-Journal of Chemical Theory and Computation-vor.pdf.jpgWieser, Sandro ; Cen, Yu-Jie ; Madsen, Georg K. H. ; Carrete, Jesús Accelerating First-Principles Molecular-Dynamics Thermal Conductivity Calculations for Complex SystemsArticle Artikel 13-Jan-2026
4Ti-2025-Physical Review Materials-vor.pdf.jpgTi, Zhuoyang ; Carrete, Jesús ; Li, Jingyu ; Zhang, Yongsheng ; Madsen, Georg K. H. Influence of point defects on thermal conductivity in TiFeₓNi₁₋ₓSb alloysArticle Artikel Nov-2025
5Erhard, Linus Carl ; Schörghuber, Johannes ; Comas-Vives, Aleix ; Madsen, Georg Kent Hellerup Active learning of rough copper-water interface potentialsPresentation VortragOct-2025
6Buckova-2025-Journal of Chemical Physics-vor.pdf.jpgBuckova, Nina ; Unglert, Nico ; Schörghuber, Johannes ; Heid, Esther ; Berland, Kristian ; Madsen, Georg Kent Hellerup The density isobar of water: A comparative study of vdW-DF-cx and RPBE-D3Article Artikel 14-Sep-2025
7Unglert, Nico ; Livia Bartók-Pártay ; Madsen, Georg Kent Hellerup Replica Exchange Nested SamplingPresentation Vortrag5-Sep-2025
8Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Neural Network–Backed Evolutionary Search for Novel (2×4) SrTiO3 (110) Surface Reconstructions from Random Initial StructuresPresentation VortragSep-2025
9Unglert-2025-Journal of Chemical Theory and Computation-vor.pdf.jpgUnglert, N. ; Pártay, L. B. ; Madsen, G. K. H. Replica Exchange Nested SamplingArticle Artikel 12-Aug-2025
10Mai, Xinghong ; Wang, Zhao ; Pan, Lijun ; Schörghuber, Johannes ; Kovács, Péter ; Carrete, Jesús ; Madsen, Georg Kent Hellerup Computing anharmonic infrared spectra of polycyclic aromatic hydrocarbons using machine learning molecular dynamicsArticle Artikel Aug-2025
11Ketter, Michael ; Heid, Esther ; Madsen, Georg Kent Hellerup Search for reactive saddle points via importance resamplingInproceedings KonferenzbeitragAug-2025
12Unglert, Nico ; Livia Bartók-Pártay ; Madsen, Georg Kent Hellerup Replica Exchange Nested SamplingInproceedings KonferenzbeitragAug-2025
13Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Neural Network–Backed Evolutionary Search for Novel (2×4) SrTiO3 (110) Surface Reconstructions from Random Initial StructuresInproceedings KonferenzbeitragAug-2025
14Madsen, Georg Taming inhomogeneous oxide surfaces using NNFFsPresentation Vortrag3-Jul-2025
15Wang, Yitian ; Su, Yaokun ; Carrete, Jesús ; Zhang, Huanyu ; Wu, Nan ; Li, Yutao ; Li, Hongze ; He, JiaMing ; Xu, Youming ; Guo, Shucheng ; Cai, Qingan ; Abernathy, Douglas L. ; Williams, Travis ; Kravchyk, Kostiantyn V. ; Kovalenko, Maksym V. ; Madsen, Georg K. H. ; Li, Chen ; Chen, Xi Origin of Intrinsically Low Thermal Conductivity in a Garnet-Type Solid Electrolyte: Linking Lattice and Ionic Dynamics with Thermal TransportArticle Artikel Jul-2025
16Erhard, Linus Carl ; Schörghuber, Johannes ; Comas-Vives, Aleix ; Madsen, Georg Kent Hellerup How Realistic are Idealized Copper Surfaces? A Machine Learning Study of Rough Copper-Water InterfacesInproceedings KonferenzbeitragJun-2025
17Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Exploring (2×4) Ti-Rich SrTiO₃(110) Reconstructions Using Machine-Learned Force Fields Combined with Evolutionary SearchInproceedings KonferenzbeitragJun-2025
18Schoerghuber-2025-Physical Chemistry Chemical Physics-vor.pdf.jpgSchörghuber, Johannes ; Bučková, Nina ; Heid, Esther Carina ; Madsen, Georg K. H. From flat to stepped: active learning frameworks for investigating local structure at copper-water interfacesArticle Artikel 7-May-2025
19Madsen, Georg Defect Thermochemistry (Spinney)Presentation Vortrag18-Apr-2025
20Madsen, Georg Machine learned Force FieldsPresentation Vortrag18-Apr-2025
21Madsen, Georg Transport: BoltztrapPresentation Vortrag17-Apr-2025
22Wolf-2025-ACS Applied Energy Materials-vor.pdf.jpgWolf, Maximilian ; Madsen, Georg K. H. ; Dimopoulos, Theodoros Bayesian Optimization of Spray Parameters for the Deposition of Ga₂O₃-Cu₂O HeterojunctionsArticle Artikel 14-Apr-2025
23Madsen, Georg Kent Hellerup Machine-learned force fields for metal-liquid interfacesPresentation Vortrag5-Apr-2025
24Lewis, Faith Julia ; Rafsanjani-Abbasi, Ali ; Buchner, Florian ; Conti, Andrea ; Kraushofer, Florian ; Sombut, Panukorn ; Eder, Moritz Maximilian Joachim ; Pavelec, Jiri ; Rheinfrank, Erik Hermann ; Franceschi, Giada ; Birschitzky, Viktor ; Riva, Michele ; Franchini, Cesare ; Schmid, Michael ; Diebold, Ulrike ; Meier, M. ; Madsen, Georg Kent Hellerup ; Parkinson, Gareth O₂ Dissociation on α-Fe₂O₃(11 ̅02)-(1×1)Inproceedings Konferenzbeitrag31-Mar-2025
25Wieser, Sandro ; Cen, YuJie ; Madsen, Georg Kent Hellerup ; Carrete, Jesus Influence of defects and shape of thin InAs nanowires on their thermal conductivity, assessed via machine-learning potentialsPresentation Vortrag20-Mar-2025
26Madsen, Georg Active learning of machine-learned force fields for interfacesPresentation Vortrag21-Feb-2025
27Wolf, Maximilian ; Götz, Selina ; Madsen, Georg Kent Hellerup ; Dimopoulos, Theodoros COHESIVM: Combinatorial h+/e- Sample Investigation using Voltaic MeasurementsArticle Artikel 5-Feb-2025
28Doloszeski, Eva ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Exploring (2×4) Ti-Rich SrTiO3(110) Reconstructions Using Machine-Learned Force Fields Combined with Evolutionary SearchPresentation VortragFeb-2025
29Dypvik Sødahl, Elin ; Carrete, Jesús ; Madsen, Georg K. H. ; Berland, Kristian Dynamical Disorder in the Mesophase Ferroelectric HdabcoClO₄: A Machine-Learned Force Field StudyArticle Artikel 9-Jan-2025
30Wanzenböck, Ralf ; Heid, Esther ; Riva, Michele ; Franceschi, Giada ; Imre, Alexander Michael ; Carrete, Jesús ; Diebold, Ulrike ; Madsen, Georg Kent Hellerup Exploring inhomogeneous surfaces via active learningInproceedings Konferenzbeitrag2025
31Wieser, Sandro ; Cen, YuJie ; Madsen, Georg Kent Hellerup ; Carrete, Jesús Accelerating Green-Kubo heat transport simulations for quasi-1D systems using highly accurate machine-learned force fieldsInproceedings Konferenzbeitrag2025
32Buchner, Florian ; Schörghuber, Johannes ; Unglert, Nico ; Carrete, Jesús ; Madsen, Georg Kent Hellerup msmJAX: Fast and Differentiable Electrostatics on the GPU in PythonInproceedings Konferenzbeitrag2025
33Wanzenböck, Ralf ; Heid, Esther ; Riva, Michele ; Franceschi, Giada ; Imre, Alexander Michael ; Carrete, Jesús ; Diebold, Ulrike ; Madsen, Georg Kent Hellerup Modeling complex perovskite oxide surfaces with limited dataInproceedings Konferenzbeitrag2025
34Bichelmaier, Sebastian ; Carrete, Jesús ; Madsen, Georg K. H. Neural network enabled molecular dynamics study of HfO₂ phase transitionsArticle Artikel 7-Nov-2024
35Wanzenboeck-2024-Digital Discovery-vor.pdf.jpgWanzenböck, Ralf ; Heid, Esther Carina ; Riva, Michele ; Franceschi, Giada ; Imre, Alexander Michael ; Carrete, Jesús ; Diebold, Ulrike ; Madsen, Georg Kent Hellerup Exploring inhomogeneous surfaces: Ti-rich SrTiO₃(110) reconstructions via active learningArticle Artikel 1-Oct-2024
36Rafsanjani-Abbasi-2024-ACS Nano-vor.pdf.jpgRafsanjani-Abbasi, Ali ; Buchner, Florian ; Lewis, Faith Julia ; Puntscher, Lena ; Kraushofer, Florian ; Sombut, Panukorn ; Eder, Moritz Maximilian Joachim ; Pavelec, Jiri ; Rheinfrank, Erik Hermann ; Franceschi, Giada ; Birschitzky, Viktor ; Riva, Michele ; Franchini, Cesare ; Schmid, Michael ; Diebold, Ulrike ; Meier, Matthias ; Madsen, Georg Kent Hellerup ; Parkinson, Gareth Digging its own site: linear coordination stabilizes a Pt₁/Fe₂O₃ single-atom catalystArticle Artikel 1-Oct-2024
37Buchner, Florian ; Schörghuber, Johannes ; Unglert, Nico ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup msmJAX: Fast Electrostatics in Python with the Multilevel Summation MethodPresentation Vortrag25-Sep-2024
38Unglert, Nico ; Livia B. Partay ; Madsen, Georg Kent Hellerup Boosting nested sampling with replica-exchangePresentation Vortrag25-Sep-2024
39Kovács, Péter ; Heid, Esther ; De Landsheere, Jasper ; Madsen, Georg K H LoGAN: local generative adversarial network for novel structure predictionArticle Artikel 23-Sep-2024
40Heid, Esther Carina ; Schörghuber, Johannes ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup Spatially Resolved Uncertainties for Machine Learning PotentialsArticle Artikel 26-Aug-2024
41Pan, Lijun ; Carrete, Jesús ; Wang, Zhao ; Madsen, Georg K H Phonon Transport in Defect-Laden Bilayer Janus PtSTe Studied Using Neural-Network Force FieldsArticle Artikel 4-Jul-2024
42Wanzenböck, Ralf ; Buchner, Florian ; Kovács, Péter ; Madsen, Georg Kent Hellerup ; Carrete, Jesús Clinamen2: Functional-style evolutionary optimization in Python for atomistic structure searchesArticle Artikel Apr-2024
43Wanzenböck, Ralf ; Buchner, Florian ; Riva, Michele ; Carrete, Jesús ; Madsen, Georg Kent Hellerup Machine-learning-backed evolutionary exploration of the SrTiO₃ (110) surface phase diagramInproceedings Konferenzbeitrag21-Mar-2024
44Buchner, Florian ; Schörghuber, Johannes ; Buckova, Nina ; Carrete, Jesus ; Madsen, Georg Kent Hellerup msmJAX: Fast Electrostatics in Python with the Multilevel Summation MethodPresentation Vortrag14-Feb-2024
45Srinivasan, Mahendran ; Carrete, Jesús ; Isacsson, Andreas ; Madsen, Georg K H ; Erhart, Paul Quantitative Predictions of the Thermal Conductivity in Transition Metal Dichalcogenides: Impact of Point Defects in MoS₂ and WS₂ MonolayersArticle Artikel 1-Feb-2024
46Pang, Guijian ; Meng, Fanchen ; Chen, Yani ; Katre, Ankita ; Carrete, Jesús ; Dongre, Bonny ; Madsen, Georg K.H. ; Mingo, Natalio ; Li, Wu Thermal conductivity reduction in highly-doped cubic SiC by phonon-defect and phonon-electron scatteringArticle Artikel Feb-2024
47Madsen, Georg Kent Hellerup Phase diagrams with machine-learned force fieldsPresentation Vortrag19-Jan-2024
48Kundu, Ashis ; Chen, Yani ; Yang, Xiaolong ; Meng, Fanchen ; Carrete, Jesús ; Kabir, Mukul ; Madsen, Georg Kent Hellerup ; Li, Wu Electron-Induced Nonmonotonic Pressure Dependence of the Lattice Thermal Conductivity of θ-TaNArticle Artikel 2024
49Heid, Esther Carina ; Schörghuber, Johannes ; Wanzenböck, Ralf ; Madsen, Georg Kent Hellerup A systematic way of improving machine learning potentials through spatially resolved uncertaintyInproceedings Konferenzbeitrag2024
50Buchner, Florian ; Schörghuber, Johannes ; Carrete, Jesus ; Madsen, Georg Kent Hellerup Bringing long-ranged interactions to the JAX ecosystem with the multilevel summation methodInproceedings Konferenzbeitrag2024
51Buckova, Nina ; Madsen, Georg Kent Hellerup ; Berland, Kristian Analysis of interactions determining the intricate properties of waterInproceedings Konferenzbeitrag2024
52Pan, Lijun ; Carrete, Jesús ; Wang, Zhao ; Madsen, Georg Kent Hellerup Machine learning boosted ab initio study of the thermal conductivity of Janus PtSTe van der Waals heterostructuresArticle Artikel 2024
53Kovács, Péter ; Blaha, Peter ; Madsen, Georg K H Origin of the success of mGGAs for bandgapsArticle Artikel 29-Dec-2023
54Heid, Esther ; Probst, Daniel ; Green, William H ; Madsen, Georg Kent Hellerup EnzymeMap: curation, validation and data-driven prediction of enzymatic reactionsArticle Artikel 28-Dec-2023
55Unglert, Nico ; Carrete, Jesús ; Pártay, Livia B. ; Madsen, Georg K.H. Neural-network force field backed nested sampling: Study of the silicon 𝑝-𝑇 phase diagramArticle Artikel 20-Dec-2023
56Bosoni, Emanuele ; Beal, Louis ; Bercx, Marnik ; Blaha, Peter ; Blügel, Stefan ; Bröder, Jens ; Callsen, Martin ; Cottenier, Stefaan ; Degomme, Augustin ; Dikan, Vladimir ; Eimre, Kristjan ; Flage-Larsen, Espen ; Fornari, Marco ; Garcia, Alberto ; Genovese, Luigi ; Giantomassi, Matteo ; Huber, Sebastiaan P. ; Janssen, Henning ; Kastlunger, Georg ; Krack, Matthias ; Kresse, Georg ; Kühne, Thomas D. ; Lejaeghere, Kurt ; Madsen, Georg Kent Hellerup ; Marsman, Martijn ; Marzari, Nicola ; Michalicek, Gregor ; Mirhosseini, Hossein ; Müller, Tiziano M. A. ; Petretto, Guido ; Pickard, Chris J. ; Poncé, Samuel ; Rignanese, Gian-Marco ; Rubel, Oleg ; Ruh, Thomas ; Sluydts, Michael ; Vanpoucke, Danny E. P. ; Vijay, Sudarshan ; Wolloch, Michael ; Wortmann, Daniel ; Yakutovich, Aliaksandr V. ; Yu, Jusong ; Zadoks, Austin ; Zhu, Bonan ; Pizzi, Giovanni How to verify the precision of density-functional-theory implementations via reproducible and universal workflowsArticle Artikel 14-Nov-2023
57Heid, Esther Carina ; McGill, Charles ; Vermeire, Florence ; Green, William H ; Madsen, Georg Kent Hellerup Errors and Uncertainty in Machine Learning ModelsPresentation Vortrag25-Sep-2023
58Schörghuber, Johannes ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Electron‐Passing Neural NetworksInproceedings Konferenzbeitrag24-Sep-2023
59Wanzenböck, Ralf ; Buchner, Florian ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Accelerated Search for Surface ReconstructionsPresentation VortragSep-2023
60Unglert, Nico ; Carrete Montana, Jesús ; Pártay, Livia B. ; Madsen, Georg Kent Hellerup Exploration of Materials Configuration Spaces using Neural Network Force Fields and Nested SamplingInproceedings KonferenzbeitragJul-2023
61Wolf, Maximilian ; Madsen, Georg ; Dimopoulos, Theodoros Accelerated screening of Cu–Ga–Fe oxide semiconductors by combinatorial spray deposition and high-throughput analysisArticle Artikel 21-Jun-2023
62Bichelmaier, Sebastian ; Carrete Montaña, Jesús ; Madsen, Georg Evaluating the efficiency of power‐series expansions as model potentials for finite‐temperature atomistic calculationsArticle Artikel 5-Jun-2023
63Carrete-2023-Journal of Chemical Physics-vor.pdf.jpgCarrete, Jesús ; Montes-Campos, Hadrián ; Wanzenböck, Ralf ; Heid, Esther ; Madsen, Georg K H Deep ensembles vs committees for uncertainty estimation in neural-network force fields: Comparison and application to active learningArticle Artikel 28-May-2023
64Bichelmaier, Sebastian ; Carrete, Jesús ; Wanzenböck, Ralf ; Buchner, Florian ; Madsen, Georg K. H. Neural-network-backed effective harmonic potential study of the ambient pressure phases of hafniaArticle Artikel 17-May-2023
65Buchner, Florian ; Wanzenböck, Ralf ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Predicting platinum adatom geometries on hematite for single-atom catalysisPresentation Vortrag30-Mar-2023
66Unglert, Nico ; Carrete Montana, Jesús ; Pártay, Livia B. ; Madsen, Georg Kent Hellerup Neural-Network-Based Nested Sampling for Efficient Exploration of Configuration Space: A Silicon Case StudyPresentation Vortrag12-Feb-2023
67Madsen, Georg Kent Hellerup Exploring the Potential Energy Surface to Describe Phonon-Defect ScatteringPresentation Vortrag29-Nov-2022
68Dongre, Bonny ; Carrete, Jesús ; Mingo, Natalio ; Madsen, Georg K. H. Thermal conductivity of group-III phosphides: The special case of GaPArticle Artikel 15-Nov-2022
69Wanzenböck, Ralf ; Arrigoni, Marco ; Bichelmaier, Sebastian ; Buchner, Florian ; Carrete, Jesús ; Madsen, Georg K H Neural-network-backed evolutionary search for SrTiO₃(110) surface reconstructionsArticle Artikel 1-Oct-2022
70Bichelmaier, Sebastian ; Carrete, Jesús ; Nelhiebel, Michael ; Madsen, Georg K. H. Accurate First-Principles Treatment of the High-Temperature Cubic Phase of HafniaArticle Artikel Oct-2022
71Madsen, Georg Kent Hellerup Transferability of neural-network force fields for evolutionary structure searchesPresentation Vortrag15-Sep-2022
72Kovács, Péter ; Tran, Fabien ; Blaha, Peter ; Madsen, Georg K H What is the optimal mGGA exchange functional for solids?Article Artikel 2-Sep-2022
73Pan, Lijun ; Wang, Zhao ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Thermoelectric properties of the Janus PtSTe monolayer compared with its parent structuresInproceedings Konferenzbeitrag24-Aug-2022
74Buchner, Florian ; Wanzenböck, Ralf ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Adatom geometries for single atom catalysis on hematite predicted by an evolutionary strategyInproceedings Konferenzbeitrag23-Aug-2022
75Unglert, Nico ; Madsen, Georg Kent Hellerup Combining Neural-Network Force Fields with Nested Sampling - Thermodynamics of MaterialsInproceedings Konferenzbeitrag23-Aug-2022
76Kovacs, Peter ; Tran, Fabien ; Blaha, Peter ; Madsen, Georg Kent Hellerup What is the optimal mGGA exchange functional for solids?Inproceedings Konferenzbeitrag23-Aug-2022
77Madsen, Georg Kent Hellerup ; Bichelmaier, Sebastian ; Carrete Montana, Jesús Combining effective harmonic potentials and a neural-network force field for the high-temperature HfO2 phase diagramInproceedings Konferenzbeitrag23-Aug-2022
78Pan, Lijun ; Wang, Zhao ; Carrete, Jesús ; Madsen, Georg Kent Hellerup Thermoelectric properties of the Janus PtSTe monolayer compared with its parent structuresArticle Artikel 1-Aug-2022
79Jia, Tiantian ; Carrete, Jesús ; Madsen, Georg Kent Hellerup ; Zhang, Yongsheng ; Wei, Suhuai Chemical trends in the high thermoelectric performance of the pyrite-type dichalcogenides ZnS₂, CdS₂, and CdSe₂Article Artikel 15-Jun-2022
80Bichelmaier, Sebastian ; Carrete Montana, Jesús ; Madsen, Georg Kent Hellerup Study of HfO₂ Phases Using Machine Learning PotentialsPresentation Vortrag12-May-2022
81Madsen, Georg Kent Hellerup BoltzTraP2Presentation Vortrag8-Feb-2022
82Kovacs, Peter ; Tran, Fabien ; Hanbury, Allan ; Madsen, Georg Kent Hellerup Similarity Clustering for Representative Sets of Inorganic Solids for Density Functional TestingArticle Artikel 11-Jan-2022
83Montes-Campos, Hadrián ; Carrete, Jesús ; Bichelmaier, Sebastian ; Varela, Luis M ; Madsen, Georg K H A Differentiable Neural-Network Force Field for Ionic LiquidsArticle Artikel 10-Jan-2022
84Zhou, Xiaoqi ; Meng, Zhisen ; Picaud, Sylvain ; Devel, Michel ; Carrete, Jesus ; Madsen, Georg ; Zhou, Yulu ; Wang, Zhao Influence of Onion-like Carbonaceous Particles on the Aggregation Process of HydrocarbonsArtikel Article 26-Oct-2021
85Al‐Sayed, Emir ; Nandan, Sreejith P. ; Tanuhadi, Elias ; Giester, Gerald ; Arrigoni, Marco ; Madsen, Georg Kent Hellerup ; Cherevan, Alexey ; Eder, Dominik ; Rompel, Annette Cover Feature: Phosphate‐Templated Encapsulation of a {CoII₄O₄} Cubane in Germanotungstates as Carbon‐Free Homogeneous Water Oxidation Photocatalysts (12/2021)Article Artikel2-Jun-2021
86Frerichs, Joop E. ; Koppe, Jonas ; Engelbert, Simon ; Heletta, Lukas ; Brunklaus, Gunther ; Winter, Martin ; Madsen, Georg Kent Hellerup ; Hansen, Michael Ryan ¹¹⁹Sn and ⁷Li Solid-State NMR of the Binary Li-Sn Intermetallics: Structural Fingerprinting and Impact on the Isotropic ¹¹⁹Sn Shift via DFT CalculationsArtikel Article 25-May-2021
87Fava, Mauro ; Dongre, Bonny ; Carrete, Jesús ; van Roekeghem, Ambroise ; Madsen, Georg K. H. ; Mingo, Natalio Effects of doping substitutions on the thermal conductivity of half-Heusler compoundsArtikel Article 2021
88Arrigoni, Marco ; Madsen, Georg K. H. Evolutionary computing and machine learning for discovering of low-energy defect configurationsArtikel Article 2021
89Fava, Mauro ; Protik, Nakib Haider ; Li, Chunhua ; Ravichandran, Navaneetha Krishnan ; Carrete, Jesus ; Roekeghem, Ambroise v. ; Madsen, Georg ; Mingo, Natalio ; Broido, David How dopants limit the ultrahigh thermal conductivity of boron arsenide: a first principles studyArtikel Article 2021
90Arrigoni, Marco ; Madsen, Georg K.H. Spinney: Post-processing of first-principles calculations of point defects in semiconductors with PythonArtikel Article 2021
91Kundu, Ashis ; Yang, Xiaolong ; Ma, Jinlong ; Feng, Tianli ; Carrete, Jesús ; Ruan, Xiulin ; Madsen, Georg K. H. ; Li, Wu Ultrahigh Thermal Conductivity of θ-Phase Tantalum NitrideArtikel Article 2021
92Al-Sayed, Emir ; Nandan, Sreejith P. ; Tanuhadi, Elias ; Giester, Gerald ; Arrigoni, Marco ; Madsen, Georg ; Cherevan, Alexey ; Eder, Dominik ; Rompel, Annette Phosphate‐Templated Encapsulation of a {CoII4O4} Cubane in Germanotungstates as Carbon‐Free Homogeneous Water Oxidation PhotocatalystsArtikel Article 2021
93Ehsan, Sohaib ; Arrigoni, Marco ; Madsen, Georg Kent Hellerup ; Blaha, Peter ; Tröster, Andreas First-principles self-consistent phonon approach to the study of the vibrational propertiesand structural phase transition of BaTiO₃Artikel Article 2021
94Jia, Tiantian ; Carrete Montana, Jesús ; Feng, Zhenzhen ; Guo, Shuping ; Zhang, Yongsheng ; Madsen, Georg Kent Hellerup Localized dimers drive strong anharmonicity and low lattice thermal conductivity in Zn Se₂Artikel Article 15-Sep-2020
95Kovács, Péter ; Zhu, Xiaosi ; Carrete, Jesús ; Madsen, Georg K. H. ; Wang, Zhao Machine-learning prediction of infrared spectra of interstellar polycyclic aromatic hydrocarbonsArtikel Article 2020
96Cresti, Alessandro ; Carrete, Jesús ; Okuno, Hanako ; Wang, Tao ; Madsen, Georg K.H. ; Mingo, Natalio ; Pochet, Pascal Growth, charge and thermal transport of flowered grapheneArtikel Article 2020
97Arrigoni, Marco ; Madsen, Georg K. H. A comparative first-principles investigation on the defect chemistry of TiO2 anataseArtikel Article 2020
98Kundu, A. ; Ma, J. ; Carrete, J. ; Madsen, G.K.H. ; Li, W. Anomalously large lattice thermal conductivity in metallic tungsten carbide and its origin in the electronic structureArtikel Article 2020
99Dongre, Bonny ; Carrete, Jesús ; Wen, Shihao ; Ma, Jinlong ; Li, Wu ; Mingo, Natalio ; Madsen, Georg K. H. Combined treatment of phonon scattering by electrons and point defects explains the thermal conductivity reduction in highly-doped SiArtikel Article 2020
100Blaha, Peter ; Schwarz, Karlheinz ; Tran, Fabien ; Laskowski, Robert ; Madsen, Georg K. H. ; Marks, Laurence D. WIEN2k: An APW+lo program for calculating the properties of solidsArtikel Article 2020
101Tran, Fabien ; Baudesson, Guillaume ; Carrete, Jesús ; Madsen, Georg K. H. ; Blaha, Peter ; Schwarz, Karlheinz ; Singh, David J. Shortcomings of meta-GGA functionals when describing magnetismArtikel Article 2020
102Kundu, Ashis ; Otte, Fabian Marius ; Carrete, Jesús ; Erhart, Paul ; Li, Wu ; Mingo, Natalio ; Madsen, Georg K. H. Effect of local chemistry and structure on thermal transport in doped GaAsArtikel Article Sep-2019
103Arrigoni, Marco ; Madsen, Georg K.H. Comparing the performance of LDA and GGA functionals in predicting the lattice thermal conductivity of III-V semiconductor materials in the zincblende structure: The cases of AlAs and BAsArtikel Article Jan-2019
104Madsen, Georg Predictive calculation of thermal conductivityPräsentation Presentation2019
105Ehsan, Sohaib ; Arrigoni, Marco ; Madsen, Georg ; Blaha, Peter A first-principle self-consistent phonon approach for studying the vibrational properties of the high-temperature phases of pervoskitesPräsentation Presentation2019
106Madsen, Georg The role of local chemistry in point defect phonon scatteringPräsentation Presentation2019
107Kovács, Péter ; Tran, Fabien ; Blaha, Peter ; Madsen, Georg K. H. Comparative study of the PBE and SCAN functionals: The particular case of alkali metalsArtikel Article 2019
108Madsen, Georg BoltzTraP2Präsentation Presentation2019
109Madsen, Georg Phonon superscatterersPräsentation Presentation2019
110Madsen, Georg Phonon superscatterersPräsentation Presentation2019
111Madsen, Georg Point defects as phonon super scatterersPräsentation Presentation2019
112Madsen, Georg ; Kovacs, Peter ; Tran, F ; Blaha, Peter Kinetic Energy Dependent Functionals in Density Functional TheoryPräsentation Presentation2019
113Ehsan, Sohaib ; Arrigoni, Marco ; Madsen, Georg ; Blaha, Peter First principles phonon calculations for high temperature phases of perovskitesPräsentation Presentation2019
114Wang, Tao ; Carrete, Jesús ; Mingo, Natalio ; Madsen, Georg K. H. Phonon scattering by dislocations in GaNArtikel Article 2019
115Carrete, Jesús ; López-Suárez, Miquel ; Raya-Moreno, Martí ; Bochkarev, Anton S. ; Royo, Miquel ; Madsen, Georg K. H. ; Cartoixà, Xavier ; Mingo, Natalio ; Rurali, Riccardo Phonon transport across crystal-phase interfaces and twin boundaries in semiconducting nanowiresArtikel Article 2019
116Kaur, Prabhjot ; Madsen, Georg K. H. ; Bera, Chandan Thermoelectric figure of merit and thermal conductivity of type-I clathrate alloy nanowiresArtikel Article 2019
117Carrete, Jesús ; Ngoc Tuoc, Vu ; Madsen, Georg K. H. Using nanotubes to study the phonon spectrum of two-dimensional materialsArtikel Article 2019
118Madsen, Georg Phonon superscatterersPräsentation Presentation2018
119Madsen, Georg Thermal Transport in Defected MaterialsPräsentation Presentation2018
120Madsen, Georg Phonon scattering by structural defectsPräsentation Presentation2018
121Wang, Jingliang ; Madsen, Georg K H ; Drautz, Ralf Grain boundaries in bcc-Fe: a density-functional theory and tight-binding studyArtikel Article 2018
122Arrigoni, Marco ; Carrete, Jesús ; Mingo, Natalio ; Madsen, Georg K. H. First-principles quantitative prediction of the lattice thermal conductivity in random semiconductor alloys: The role of force-constant disorderArtikel Article 2018
123Tran, Fabien ; Kovács, Péter ; Kalantari, Leila ; Madsen, Georg K. H. ; Blaha, Peter Orbital-free approximations to the kinetic-energy density in exchange-correlation MGGA functionals: Tests on solidsArtikel Article 2018
124Legrain, Fleur ; van Roekeghem, Ambroise ; Curtarolo, Stefano ; Carrete, Jesús ; Madsen, Georg K. H. ; Mingo, Natalio Vibrational properties of metastable polymorph structures by machine learningArtikel Article 2018
125Dongre, Bonny ; Carrete, Jesús ; Mingo, Natalio ; Madsen, Georg K. H. Ab-inito lattice thermal conductivity of bulk and thin-film α-Al₂O₃Artikel Article 2018
126Katre, Ankita ; Carrete, Jesús ; Wang, Tao ; Madsen, Georg K. H. ; Mingo, Natalio Phonon transport unveils the prevalent point defects in GaNArtikel Article 2018
127Dongre, Bonny ; Carrete, Jesús ; Katre, Ankita ; Mingo, Natalio ; Madsen, Georg K. H. Resonant phonon scattering in semiconductorsArtikel Article 2018
128Stern, Robin ; Wang, Tao ; Carrete, Jesús ; Mingo, Natalio ; Madsen, Georg K. H. The influence of point defects on the thermal conductivity in FeSiArtikel Article 2018
129Madsen, Georg K.H. ; Carrete, Jesús ; Verstraete, Matthieu J. BoltzTraP2, a program for interpolating band structures and calculating semi-classical transport coefficientsArtikel Article 2018
130Arrigoni, Marco ; Carrete, Jesus ; Mingo, Natalio ; Madsen, Georg Role of force-constant disorder in the lattice thermal conductivity of semiconductor alloys: a first-principles studyPräsentation Presentation2018
131Madsen, Georg High Throughput DFT Calculations - Screening for New TE CompoundsPräsentation Presentation2018
132Madsen, Georg Phonon superscatterersPräsentation Presentation2018
133Madsen, Georg ; Dongre, Bonny ; Katre, Ankita ; Carrete, Jesus ; Mingo, Natalio Resonant Phonon Scattering in SemiconductorsPräsentation Presentation2018
134Madsen, Georg Point defects. Carrier control and phonon scatteringPräsentation Presentation2018
135Eliassen, Simen N. H. ; Katre, Ankita ; Madsen, Georg ; Persson, Clas ; Lovvik, Ole Martin ; Berland, Kristian Lattice thermal conductivity of Tiₓ Zr Hf₁₋ₓ₋ᵧ NiSn half-Heusler alloys calculated from first principles: Key role of nature of phonon modesArtikel Article 11-Jan-2017
136Chmielowski, Radoslaw ; Bhattacharya, Sandip ; Jacob, S. ; Péré, D. ; Jacob, Alain ; Moriya, K. ; Delatouche, Bruno ; Roussel, Pascal ; Madsen, Georg ; Dennler, Gilles Strong Reduction of Thermal Conductivity and Enhanced Thermoelectric Properties in CoSbS₁₋ₓSeₓ ParacostibiteArtikel Article 2017
137Carrete, Jesús ; Vermeersch, Bjorn ; Katre, Ankita ; van Roekeghem, Ambroise ; Wang, Tao ; Madsen, Georg K.H. ; Mingo, Natalio almaBTE: A solver of the space-time dependent Boltzmann transport equation for phonons in structured materialsArtikel Article 2017
138Dongre, B ; Wang, T ; Madsen, G K H Comparison of the Green-Kubo and homogeneous non-equilibrium molecular dynamics methods for calculating thermal conductivityArtikel Article 2017
139Legrain, Fleur ; Carrete, Jesús ; van Roekeghem, Ambroise ; Madsen, Georg K.H. ; Mingo, Natalio Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus ab Initio MethodsArtikel Article 2017
140Katre, Ankita ; Carrete, Jesús ; Dongre, Bonny ; Madsen, Georg K. H. ; Mingo, Natalio Exceptionally Strong Phonon Scattering by B Substitution in Cubic SiCArtikel Article 2017
141Wang, Tao ; Carrete, Jesús ; van Roekeghem, Ambroise ; Mingo, Natalio ; Madsen, Georg K. H. Ab initio phonon scattering by dislocationsArtikel Article 2017
142Madsen, Georg ; Katre, Ankita ; Bera, Chandran Calculating the thermal conductivity of the silicon clathrates using the quasi-harmonic approximationArtikel Article 2016
143Christensen, Sebastian ; Schmokel, Mette S. ; Borup, Kasper A. ; Madsen, Georg Kent Hellerup ; Mclntyre, Garry J. ; Capellii, Silvia C. ; Christensen, Mogens ; Iversen, B.Brummerstedt Glass-like thermal conductivity gradually induced in thermoelectric Sr₈Ga₁₆Ge₃₀ clathrate by off-centered guest atomsArtikel Article 2016
144Bhattacharya, Sandip ; Madsen, Georg K. H. A novel p-type half-Heusler from high-throughput transport and defect calculationsArtikel Article 2016
145Stern, Robin ; Madsen, Georg K. H. Ab-initio investigation of the anomalous phonon softening in FeSiArtikel Article 2016
146Dewandre, Antoine ; Hellman, Olle ; Bhattacharya, Sandip ; Romero, Aldo H. ; Madsen, Georg K. H. ; Verstraete, Matthieu J. Two-Step Phase Transition in SnSe and the Origins of its High Power Factor from First PrinciplesArtikel Article 2016
147Madsen, Georg New routes to thermoelectric half-Heusler compoundsPräsentation Presentation2016
148Madsen, Georg Green's function approach to thermal transportPräsentation Presentation2016
149Paschen, Silke ; Madsen, Georg ; Rosner, Martin ; Weidenkaff, A Nanostructured Transition-Metal Clathrates and Clathrate-Oxide NanocompositesPräsentation Presentation2014
150Schwarz, Karlheinz ; Blaha, Peter ; Laskowski, Robert ; Madsen, Georg Overview of WIEN2kPräsentation Presentation2003
151Madsen, Georg ; Schwarz, Karlheinz ; Blaha, Peter ; Singh, D.J. Magnetic inclusion compounds: The alkali-electro sodalites and rare-earth containing chlathratesPräsentation Presentation2002
152Madsen, Georg Spin-orbit calculations with a p1/2 relativistic local orbital extensionPräsentation Presentation2002
153Blaha, Peter ; Schwarz, Karlheinz ; Kvasnicka, D.F. ; Madsen, Georg ; Laskowski, Robert Berechnung der elektronischen Struktur von Festkörpern mittels des selbstentwickelten Programmpaketes WIEN2kBericht Report2002