Mesoscale and Nanoscale Physics · Physics
The Computational 2D Materials Database: High-Throughput Modeling and Discovery of Atomically Thin Crystals
Sten Haastrup, Mikkel Strange, Mohnish Pandey, Thorsten Deilmann +11
2018-10-10
Materials Science · Physics
Large-scale Integration of Experimental and Computational Data for 2D Materials
Mohammad A. Akhound, Tara M. Boland, Mikkel O. Sauer, Matthias Batzill +18
2026-03-06
Materials Science · Physics
Recent Progress of the Computational 2D Materials Database (C2DB)
M. N. Gjerding, A. Taghizadeh, A. Rasmussen, S. Ali +12
2021-07-21
Computational Engineering, Finance, and Science · Computer Science
Crystalline Material Discovery in the Era of Artificial Intelligence
Zhenzhong Wang, Haowei Hua, Wanyu Lin, Ming Yang +1
2026-02-11
Materials Science · Physics
Exploring and machine learning structural instabilities in 2D materials
Simone Manti, Mark Kamper Svendsen, Nikolaj R. Knøsgaard, Peder M. Lyngby +1
2023-03-21
Materials Science · Physics
Monolayer Two-dimensional Materials Database (ML2DDB) and Applications
Zhongwei Liu, Zhimin Zhang, Xuwei Liu, Mingjia Yao +4
2025-07-02
Materials Science · Physics
Anisotropic properties of monolayer 2D materials: an overview from the C2DB database
Luca Vannucci, Urko Petralanda, Asbjørn Rasmussen, Thomas Olsen +1
2020-09-09
Materials Science · Physics
MC3D: The Materials Cloud computational database of experimentally known stoichiometric inorganics
Sebastiaan P. Huber, Michail Minotakis, Marnik Bercx, Timo Reents +6
2026-03-30
Materials Science · Physics
Machine learning-driven elasticity prediction in advanced inorganic materials via convolutional neural networks
Yujie Liu, Zhenyu Wang, Hang Lei, Guoyu Zhang +5
2025-11-07
Materials Science · Physics
2DMatPedia: An open computational database of two-dimensional materials from top-down and bottom-up approaches
Jun Zhou, Lei Shen, Miguel Dias Costa, Kristin A. Persson +5
2019-08-10
Materials Science · Physics
Database of 2D hybrid perovskite materials: open-access collection of crystal structures, band gaps and atomic partial charges predicted by machine learning
Ekaterina I. Marchenko, Sergey A. Fateev, Andrey A. Petrov, Vadim V. Korolev +4
2020-08-21
Computational Physics · Physics
High-throughput Discovery and Intelligent Design of 2D Functional Materials for Various Applications
Lei Shen, Jun Zhou, Tong Yang, Ming Yang +1
2021-12-20
Materials Science · Physics
Large-scale machine-learning-assisted exploration of the whole materials space
Jonathan Schmidt, Noah Hoffmann, Hai-Chen Wang, Pedro Borlido +4
2022-10-04
Materials Science · Physics
Computational exfoliation of atomically thin 1D materials with application to Majorana bound states
Hadeel Moustafa, Peter Mahler Larsen, Morten N. Gjerding, Jens Jørgen Mortensen +2
2022-04-04
Materials Science · Physics
Novel materials in the Materials Cloud 2D database
Davide Campi, Nicolas Mounet, Marco Gibertini, Giovanni Pizzi +1
2022-10-21
Materials Science · Physics
Topology-Scaling Identification of Layered Solids and Stable Exfoliated 2D Materials
Michael Ashton, Joshua Paul, Susan B. Sinnott, Richard G. Hennig
2017-06-08
Materials Science · Physics
Definition of a scoring parameter to identify low-dimensional materials components
Peter Mahler Larsen, Mohnish Pandey, Mikkel Strange, Karsten Wedel Jacobsen
2019-03-27
Materials Science · Physics
2D materials and van der Waals heterostructures
K. S. Novoselov, A. Mishchenko, A. Carvalho, A. H. Castro Neto
2016-08-11
Materials Science · Physics
Computational Synthesis of Substrates by Crystal Cleavage
Joshua T. Paul, Alice Galdi, Christopher Parzyck, Kyle Shen +1
2021-03-31
Materials Science · Physics
Discovery of 2D materials using Transformer Network based Generative Design
Rongzhi Dong, Yuqi Song, Edirisuriya M. D. Siriwardane, Jianjun Hu
2023-01-18