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RESEARCH PAPER · The Journal of Physical Chemistry Letters · 2018

Revealing the Spectrum of Unknown Layered Materials with Superhuman Predictive Abilities

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42 direct citing works

Revealing the Spectrum of Unknown Layered Materials with Superhuman Predictive AbilitiesOriginalDirection-control of anisotropic electronic behaviors via ferroelasticity in two-dimensional α-MPI (M = Zr, Hf)49Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data129Machine Learning in Nanoscience: Big Data at Small Scales229Artificial intelligence and machine learning for targeted energy storage solutions64Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information Processing164Computational studies on the structural, electronic and optical properties of M2CT2 (M=Y, Sc and T=F, Cl) MXene monolayer74Interlayer Excitonic Spectra of Vertically Stacked MoSe2/WSe2 Heterobilayers12Phase transitions in 2D materials479Electromagnetic-Polarization-Selective Composites with Quasi-1D Van der Waals Fillers: Nanoscale Material Functionality That Mimics Macroscopic Systems17Discovery of complex oxides via automated experiments and data science37Metallic vs. semiconducting properties of quasi-one-dimensional tantalum selenide van der Waals nanoribbons19Linear dichroism and polarization controllable persistent spin helix in two-dimensional ferroelectric ZrOI2 monolayer17Machine‐Learning and Data‐Intensive Methods for Accelerating the Development of Rechargeable Battery Chemistries: A Review6One-dimensional van der Waals quantum materials179Elemental excitations in MoI3 one-dimensional van der Waals nanowires34Electrical Contacts With 2D Materials: Current Developments and Future Prospects56Density Functional Theory Combined with Thermodynamics Exploration of Novel 2D Materials Created Using Aqueous Exfoliation4Mechanical energy metamaterials in interstellar travel73Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions38What Are 2D Materials Good For?0Machine-Learning-Driven Expansion of the 1D van der Waals Materials Space12Coexisting Phases in Transition Metal Dichalcogenides: Overview, Synthesis, Applications, and Prospects49When Machine Learning Meets 2D Materials: A Review156Discovery of Stable Surfaces with Extreme Work Functions by High‐Throughput Density Functional Theory and Machine Learning28Effect of functionalization on properties of Scandium-based MXenes: A DFT study7Properties of yttrium based MXenes and the effect of its functionalization: A DFT study3Vibrational Entropic Stabilization of Layered Chalcogenides: From Ordered Vacancy Compounds to Two-Dimensional Layers0

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  1. Direction-control of anisotropic electronic behaviors via ferroelasticity in two-dimensional α-MPI (M = Zr, Hf)

    Materials Horizons · 2019-01-01

    Ting Zhang, Yandong Ma, Lin Yu, Baibiao Huang, Ying Dai

    Read original paper ↗ ·
  2. Screening billions of candidates for solid lithium-ion conductors: A transfer learning approach for small data

    The Journal of Chemical Physics · 2019-06-03

    Ekin D. Cubuk, Austin D. Sendek, Evan J. Reed

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  3. Machine Learning in Nanoscience: Big Data at Small Scales

    Nano Letters · 2019-12-05

    Keith A. Brown, Sarah Brittman, Nicolò Maccaferri, Deep Jariwala, Umberto Celano

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  4. Artificial intelligence and machine learning for targeted energy storage solutions

    Current Opinion in Electrochemistry · 2020-02-18

    Dean H. Barrett, Aderemi Bashiru Haruna

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  5. Machine Learning-Enabled Design of Point Defects in 2D Materials for Quantum and Neuromorphic Information Processing

    ACS Nano · 2020-09-08

    Nathan C. Frey, Deji Akinwande, Deep Jariwala, Vivek B. Shenoy

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  6. Computational studies on the structural, electronic and optical properties of M2CT2 (M=Y, Sc and T=F, Cl) MXene monolayer

    Journal of Alloys and Compounds · 2020-11-27

    Alireza Mostafaei, Mohaddeseh Abbasnejad

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  7. Interlayer Excitonic Spectra of Vertically Stacked MoSe2/WSe2 Heterobilayers

    physica status solidi (b) · 2021-03-30

    Roland Gillen

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  8. Phase transitions in 2D materials

    Nature Reviews Materials · 2021-04-09

    Wenbin Li, Xiaofeng Qian, Ju Li

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  9. Electromagnetic-Polarization-Selective Composites with Quasi-1D Van der Waals Fillers: Nanoscale Material Functionality That Mimics Macroscopic Systems

    ACS Applied Materials & Interfaces · 2021-04-30

    Zahra Barani, Fariborz Kargar, Yassamin Ghafouri, Saba Baraghani, Sriharsha Sudhindra, Amirmahdi Mohammadzadeh, Tina T. Salguero, Alexander A. Balandin

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  10. Discovery of complex oxides via automated experiments and data science

    Proceedings of the National Academy of Sciences · 2021-09-10

    Lusann Yang, Joel A. Haber, Zan Armstrong, Samuel Yang, Kevin Kan, Lan Zhou, Matthias Hermann Richter, C. Roat, Nicholas Wagner, Marc Coram, Marc Berndl, Patrick Riley, John M. Gregoire

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  11. Metallic vs. semiconducting properties of quasi-one-dimensional tantalum selenide van der Waals nanoribbons

    Nanoscale · 2022-01-01

    Fariborz Kargar, Andrey Krayev, Michelle Wurch, Yassamin Ghafouri, Topojit Debnath, Darshana Wickramaratne, Tina T. Salguero, Roger K. Lake, Ludwig Bartels, Alexander A. Balandin

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  12. Linear dichroism and polarization controllable persistent spin helix in two-dimensional ferroelectric ZrOI2 monolayer

    Nano Research · 2022-04-08

    Niuzhuang Yang, Gaoyang Gou, Xiaoli Lu, Yue Hao

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  13. Machine‐Learning and Data‐Intensive Methods for Accelerating the Development of Rechargeable Battery Chemistries: A Review

    Unknown journal · 2022-04-08

    Austin D. Sendek, Ekin D. Cubuk, Brandi Ransom, Jagjit Nanda, Evan J. Reed

    Read original paper ↗ ·
  14. One-dimensional van der Waals quantum materials

    Materials Today · 2022-04-29

    Alexander A. Balandin, Fariborz Kargar, Tina T. Salguero, Roger K. Lake

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  15. Elemental excitations in MoI3 one-dimensional van der Waals nanowires

    Applied Physics Letters · 2022-11-28

    Fariborz Kargar, Zahra Barani, Nicholas Sesing, Thuc T. Mai, Topojit Debnath, H. R. Zhang, Yuhang Liu, Yanbing Zhu, Subhajit Ghosh, Adam J. Biacchi, Felipe H. da Jornada, Ludwig Bartels, Tehseen Adel, Angela R. Hight Walker, Albert V. Davydov, Tina T. Salguero, Roger K. Lake, Alexander A. Balandin

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  16. Electrical Contacts With 2D Materials: Current Developments and Future Prospects

    Small · 2023-01-01

    Saima Ali Batool, Muhammad Idrees, Su‐Ting Han, Vellaisamy A. L. Roy, Ye Zhou

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  17. Density Functional Theory Combined with Thermodynamics Exploration of Novel 2D Materials Created Using Aqueous Exfoliation

    The Journal of Physical Chemistry C · 2023-01-27

    Mona Layegh, Joseph W. Bennett

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  18. Mechanical energy metamaterials in interstellar travel

    Progress in Materials Science · 2023-04-23

    Pengcheng Jiao

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  19. Predicting the synthesizability of crystalline inorganic materials from the data of known material compositions

    npj Computational Materials · 2023-08-25

    Evan R. Antoniuk, Gowoon Cheon, George Wang, Daniel J. Bernstein, William Cai, Evan J. Reed

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  20. What Are 2D Materials Good For?

    IEEE Nanotechnology Materials and Devices Conference (NMDC) · 2023-10-22

    Eric Pop

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  21. Machine-Learning-Driven Expansion of the 1D van der Waals Materials Space

    The Journal of Physical Chemistry C · 2023-10-27

    Yanbing Zhu, Evan R. Antoniuk, Dylan Wright, Fariborz Kargar, Nicholas Sesing, Austin D. Sendek, Tina T. Salguero, Ludwig Bartels, Alexander A. Balandin, Evan J. Reed, Felipe H. da Jornada

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  22. Coexisting Phases in Transition Metal Dichalcogenides: Overview, Synthesis, Applications, and Prospects

    ACS Nano · 2024-01-22

    Haiyang Liu, Yaping Wu, Zhiming Wu, Sheng Liu, Vanessa Li Zhang, Ting Yu

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  23. When Machine Learning Meets 2D Materials: A Review

    Advanced Science · 2024-01-26

    Bin Lu, Yuze Xia, Yuqian Ren, Xie Miaomiao, Liguo Zhou, Giovanni Vinai, Simon A. Morton, Andrew T. S. Wee, Wilfred G. van der Wiel, Wen Zhang, Ping Kwan Johnny Wong

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  24. Discovery of Stable Surfaces with Extreme Work Functions by High‐Throughput Density Functional Theory and Machine Learning

    Advanced Functional Materials · 2024-03-20

    Peter Schindler, Evan R. Antoniuk, Gowoon Cheon, Yanbing Zhu, Evan J. Reed

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  25. Effect of functionalization on properties of Scandium-based MXenes: A DFT study

    Computational Materials Science · 2024-12-12

    Atul Pandey, Neha Sardana

    Read original paper ↗ ·
  26. Properties of yttrium based MXenes and the effect of its functionalization: A DFT study

    FlatChem · 2025-05-01

    Atul Pandey, Neha Sardana

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  27. Vibrational Entropic Stabilization of Layered Chalcogenides: From Ordered Vacancy Compounds to Two-Dimensional Layers

    The Journal of Physical Chemistry C · 2026-02-03

    Roberto Prado‐Rivera, Daniela R. Radu, Vincent H. Crespi, Yuanxi Wang

    Read original paper ↗ ·