Mohammad Nakhaee - Concepedia

Author

Mohammad Nakhaee

Damghan University ORCID

Also Known As

M NAKHAEE, M. Nakhaee, Mohammad Nakhaee, Nakhaee, Mohammad

Publications

352

Citations

H-Index

Concepts

All Affiliations

Damghan University University of Antwerp

About

Mohammad Nakhaee is an author at Damghan University specializing in natural sciences, engineering, and quantum chemistry.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	201
2	Natural Sciences	5	5	201
3	Applied Physics	4	4	168
4	Chemistry	3	3	152
5	Computer Science	1	1	33

Mohammad Nakhaee

Publications

348

Citations

H-Index

Page 1

	Year	Citations
NOMAD: A distributed web-based platform for managingmaterials science research data Markus Scheidgen, Lauri Himanen, Alvin Noe Ladines, The Journal of Open Source Software	2023	121
Tight-binding model for borophene and borophane Mohammad Nakhaee, S. A. Ketabi, F. M. Peeters Physical review. B./Physical review. B EngineeringPhysicsHexagonal Boron NitrideNatural SciencesApplied Physics	2018	66
Dirac nodal line in bilayer borophene: Tight-binding model and low-energy effective Hamiltonian Mohammad Nakhaee, S. A. Ketabi, F. M. Peeters Physical review. B./Physical review. B EngineeringTopological MaterialsChemistryTopological Quantum StateElectronic Structure	2018	43
Single-layer Janus black arsenic-phosphorus (b-AsP): Optical dichroism, anisotropic vibrational, thermal, and elastic properties L. L. Li, Mohammad Nakhaee, Rossitza Pentcheva, Physical review. B./Physical review. B Optical MaterialsEngineeringJanus Single LayerTa Phonon BranchesChemistry	2020	43
Tight-Binding Studio: A technical software package to find the parameters of tight-binding Hamiltonian Mohammad Nakhaee, S. A. Ketabi, F. M. Peeters Computer Physics Communications Mathematical ProgrammingHamiltonian TheoryTechnical Software PackageTight-binding StudioEngineering	2020	33
Single-layer structures of <i>a</i><sub>100</sub>- and <i>b</i><sub>010</sub>-Gallenene: a tight-binding approach Mohammad Nakhaee, M. Yagmurcukardes, S. A. Ketabi, Physical Chemistry Chemical Physics	2019	26
Machine learning approach to constructing tight binding models for solids with application to BiTeCl Mohammad Nakhaee, S. A. Ketabi, F. M. Peeters Journal of Applied Physics EngineeringMachine LearningMaterial SimulationComputational ChemistryComputational Nanostructure Modeling	2020	16

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