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Miguel Marques (1974-)

Physiker

Name	Miguel Marques
Time	1974- (Date of birth and death)
Place	Coimbra (Geburtsort) Halle (Saale) (Wirkungsort) Deutschland Portugal
Gender	männlich
Academic degree	Dr. rer. nat.
Profession	Physiker (characteristic profession)
Variant	M. A. L. Marques Miguel A. L. Marques Miguel Alexandre Lopes Marques Miguel Alexandre Lopes Marques
Related	Martin-Luther-Universität Halle-Wittenberg. Institut für Physik
Further information	Diss. 2000, Fakultät für Physik und Astronomie, Universität Würzburg; Research Center Future Energy Materials and Systems of the University Alliance Ruhr, Faculty of Mechanical Engineering, Ruhr University Bochum
Source	Homepage: https://www.tddft.org/bmg/people.php?oid=5038203 (Stand: 13.01.2020)
Record type	Person
GND-Identifier	123388201
Record ID	123388201
Involved in show all Searching Materials Space for Hydride Superconductors at Ambient Pressure Prediction of ambient pressure conventional superconductivity above 80 K in hydride compounds Computational prediction and characterization of CuI-based ternary p-type transparent conductors † Exploring flat-band properties in two-dimensional M 3 QX 7 compounds † Prediction of ambient pressure conventional superconductivity above 80 K in hydride compounds Sampling the Materials Space for Conventional Superconducting Compounds Searching for ductile superconducting Heusler X2YZ compounds Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of Materials High-throughput discovery and characterization of inorganic materials using ab-initio methods Sampling the materials space for conventional superconducting compounds Impact of electron correlation on the light-induced demagnetization of elemental ferromagnetic metals Computational screening of materials with extreme gap deformation potentials Superconductivity in antiperovskites Machine-learning correction to density-functional crystal structure optimization A dataset of 175k stable and metastable materials calculated with the PBEsol and SCAN functionals Machine learning the thermodynamic stability of crystal structures Machine-learning correction to density-functional crystal structure optimization Roadmap on Machine learning in electronic structure Authorship and citation cultural nature in Density Functional Theory from solid state computational packages Tight‐Binding Parameterizations of Ti and Ba Oxides and Their Application for the Prediction of 2D Phases Advanced Raman spectroscopy of Cs2AgBiBr6 double perovskites and identification of Cs3Bi2Br9 secondary phases Global structure prediction of phase diagrams The structure and dynamics of materials using machine learning Special issue in honor of Eberhard K.U. Gross for his 65th birthday ChemInform Abstract: Prediction and Synthesis of a Non‐Zintl Silicon Clathrate. Fundamentals of time-dependent density functional theory Fundamentals of Time-Dependent Density Functional Theory ChemInform Abstract: Optical and Magnetic Properties of Boron Fullerenes octopus: a tool for the application of time‐dependent density functional theory Time dependent density functional theory Time dependent density functional theory Density functional theory for superconductors : exchange and correlation potential for inhomogeneous systems

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Miguel Marques (1974-)

Searching Materials Space for Hydride Superconductors at Ambient Pressure

Prediction of ambient pressure conventional superconductivity above 80 K in hydride compounds

Computational prediction and characterization of CuI-based ternary p-type transparent conductors †

Exploring flat-band properties in two-dimensional M 3 QX 7 compounds †

Prediction of ambient pressure conventional superconductivity above 80 K in hydride compounds

Sampling the Materials Space for Conventional Superconducting Compounds

Searching for ductile superconducting Heusler X2YZ compounds

Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of Materials

High-throughput discovery and characterization of inorganic materials using ab-initio methods

Sampling the materials space for conventional superconducting compounds

Impact of electron correlation on the light-induced demagnetization of elemental ferromagnetic metals

Computational screening of materials with extreme gap deformation potentials

Superconductivity in antiperovskites

Machine-learning correction to density-functional crystal structure optimization

A dataset of 175k stable and metastable materials calculated with the PBEsol and SCAN functionals

Machine learning the thermodynamic stability of crystal structures

Machine-learning correction to density-functional crystal structure optimization

Roadmap on Machine learning in electronic structure

Authorship and citation cultural nature in Density Functional Theory from solid state computational packages

Tight‐Binding Parameterizations of Ti and Ba Oxides and Their Application for the Prediction of 2D Phases

Advanced Raman spectroscopy of Cs2AgBiBr6 double perovskites and identification of Cs3Bi2Br9 secondary phases

Global structure prediction of phase diagrams

The structure and dynamics of materials using machine learning

Special issue in honor of Eberhard K.U. Gross for his 65th birthday

ChemInform Abstract: Prediction and Synthesis of a Non‐Zintl Silicon Clathrate.

Fundamentals of time-dependent density functional theory

Fundamentals of Time-Dependent Density Functional Theory

ChemInform Abstract: Optical and Magnetic Properties of Boron Fullerenes

octopus: a tool for the application of time‐dependent density functional theory

Time dependent density functional theory

Time dependent density functional theory

Density functional theory for superconductors : exchange and correlation potential for inhomogeneous systems