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Related papers: Accelerated Inorganic Electrides Discovery by Gene…

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Accelerating the experimental cycle for new materials development is vital for addressing the grand energy challenges of the 21st century. We fabricate and characterize 75 unique halide perovskite-inspired solution-based thin-film materials…

We demonstrate in this paper that the recently discovered infinite-layer (IL) nickelates have much in common with a class of materials known as electrides. Oxide based electrides are compounds in which topotactic removal of loosely bound…

Superconductivity · Physics 2023-11-30 Kateryna Foyevtsova , Ilya Elfimov , George A. Sawatzky

Data mining is a recognized predictive tool in a variety of areas ranging from bioinformatics and drug design to crystal structure prediction. In the present study, an electronic structure implementation has been combined with structural…

Materials Science · Physics 2008-08-18 C. Ortiz , O. Eriksson , M. Klintenberg

The choice of cathode material in Li-ion batteries (LIBs) underpins their overall performance. Discovering new cathode materials is a slow process, and all major commercial cathode materials are still based on those identified in the 1990s.…

Materials Science · Physics 2024-06-12 Bonan Zhu , Ziheng Lu , Chris J. Pickard , David O. Scanlon

Electrides are unique materials because of the existence of interstitial anionic electrons (IAEs). Due to these loosely bound IAEs and their strong interaction with the framework of cations, electrides can host superconductivity with rather…

Electrides are ionic crystals in which the electrons prefer to occupy free space, serving as anions. Because the electrons prefer to be in the pockets, channels, or layers to the atomic orbitals around the nuclei, it has been challenging to…

Electron energy loss spectroscopy is consolidating as a powerful tool to explore electronic (as well as vibrational) excitations of matter, including molecules. Performed in a scanning transmission electron microscope, this technique is…

Chemical Physics · Physics 2021-03-05 Ciro A. Guido , Enzo Rotunno , Matteo Zanfrognini , Stefano Corni , Vincenzo Grillo

In modern two-dimensional (2D) materials, such as graphene-based systems and atomically-thin transition-metal dichalcogenides, the interplay of strong electronic correlations, tunable moir\'e superlattices, and nontrivial band topology has…

Strongly Correlated Electrons · Physics 2025-09-26 You Zhou , Ilya Esterlis , Tomasz Smoleński

Correlated electron molecular orbital (CEMO) materials host emergent electronic states built from molecular orbitals localized over clusters of transition metal ions, yet have historically been discovered sporadically and generally been…

Materials Science · Physics 2026-01-09 Md. Rajbanul Akhond , Alexandru B. Georgescu

Two-dimensional (2D) materials are among the most promising candidates for beyond-silicon electronic, optoelectronic and quantum computing applications. Recently, their recognized importance sparked a push to discover and characterize novel…

Materials Science · Physics 2022-10-21 Davide Campi , Nicolas Mounet , Marco Gibertini , Giovanni Pizzi , Nicola Marzari

Reliable artificial-intelligence models have the potential to accelerate the discovery of materials with optimal properties for various applications, including superconductivity, catalysis, and thermoelectricity. Advancements in this field…

Materials Science · Physics 2023-06-07 Thomas A. R. Purcell , Matthias Scheffler , Luca M. Ghiringhelli , Christian Carbogno

Machine learning (ML) models utilizing structure-based features provide an efficient means for accurate property predictions across diverse chemical spaces. However, obtaining equilibrium crystal structures typically requires expensive…

Materials Science · Physics 2021-04-22 Yunxing Zuo , Mingde Qin , Chi Chen , Weike Ye , Xiangguo Li , Jian Luo , Shyue Ping Ong

Efficient algorithms to generate candidate crystal structures with good stability properties can play a key role in data-driven materials discovery. Here we show that a crystal diffusion variational autoencoder (CDVAE) is capable of…

Materials Science · Physics 2022-11-18 Peder Lyngby , Kristian Sommer Thygesen

The effective mass of charge carriers is a fundamental descriptor of the electronic structure of materials, and can be used to assess performance in electronics applications, or to screen for thermoelectrics and transparent conductors.…

Materials Science · Physics 2025-12-02 Szymon Błazucki , Junfeng Qiao , Nicola Marzari

We use a combination of symmetry analysis and high-throughput density functional theory calculations to search for new ferroelectric materials. We use two search strategies to identify candidate materials. In the first strategy, we start…

Materials Science · Physics 2018-02-07 Kevin F. Garrity

We compile data and machine learned models of solid Li-ion electrolyte performance to assess the state of materials discovery efforts and build new insights for future efforts. Candidate electrolyte materials must satisfy several…

Materials Science · Physics 2019-04-22 Austin D. Sendek , Gowoon Cheon , Mauro Pasta , Evan J. Reed

Electrides are an emerging class of materials with excess electrons localized in interstices and acting as anionic interstitial quasi-atoms (ISQs). The spatial ion-electron separation means that electrides can be treated physically as ionic…

Materials Science · Physics 2021-04-28 Leilei Zhang , Hua Y. Geng , Q. Wu

Transition metals with their densely confined and strongly coupled valence electrons are key constituents of many materials with unconventional properties, such as high-Tc superconductors, Mott insulators and transition-metal…

Atomic Physics · Physics 2020-01-08 M. Volkov , S. A. Sato , F. Schlaepfer , L. Kasmi , N. Hartmann , M. Lucchini , L. Gallmann , A. Rubio , U. Keller

Electrides are unique compounds where most of the electrons reside at interstitial regions of the crystal behaving as anions, which strongly determines its physical properties. Interestingly, the magnitude and distribution of interstitial…

Superconductivity · Physics 2019-03-11 Ziyuan Zhao , Shoutao Zhang , Tong Yu , Haiyang Xu , Aitor Bergara , Guochun Yang

We report intrinsic ferromagnetism in monolayer electrides or electrenes, in which excess electrons act as anions. Our first-principles calculations demonstrate that magnetism in such electron-rich two-dimensional (2D) materials originates…

Computational Physics · Physics 2020-11-25 Jun Zhou , Yuan Ping Feng , Lei Shen