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RESEARCH PAPER · Journal of materials research/Pratt's guide to venture capital sources · 2020

Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theory

Prasanna V. Balachandran

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14 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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42 direct citing works

Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theoryOriginalMachine learning in materials design: Algorithm and application*62Structural and thermal stability of B20-type high-pressure phases FeGe and MnGe6DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions0DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions4DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions3DiSCoVeR: a materials discovery screening tool for high performance, unique chemical compositions28Deep dive into machine learning density functional theory for materials science and chemistry111Structural transformations and thermal stability of RhGe synthesized under high temperature and pressure3Data-driven materials discovery and synthesis using machine learning methods14Design Methodologies for Skyrmion-Based Circuits and Systems in AI-Driven Applications: Bi-Directional Integration [Feature]3Investigation on the structural, electronic, magnetic, and magnetic anisotropy energies of the CoGe (001) thin films: a comparative DFT and DFT + U study0Accelerating magnetic materials discovery using interaction matrix-based machine learning descriptors1A machine learning pipeline for predicting Curie temperature of magnetic topological materials1Above room temperature ferromagnetism at ∼670 K in FeSi–RhSi solid solutions0

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14 direct citing papers saved.

  1. Machine learning in materials design: Algorithm and application*

    Chinese Physics B · 2020-10-14

    Zhilong Song, Xiwen Chen, Fanbin Meng, Guanjian Cheng, Chen Wang, Zhongti Sun, Wan‐Jian Yin

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  2. Structural and thermal stability of B20-type high-pressure phases FeGe and MnGe

    Journal of Alloys and Compounds · 2021-08-13

    Larisa V. Kamaeva, N. M. Chtchelkatchev, А. А. Суслов, Maria V. Magnitskaya, Anatolii V. Tsvyashchenko

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  3. DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions

    Unknown journal · 2021-10-13

    Sterling G. Baird, Tran Diep, Taylor D. Sparks

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  4. DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions

    Unknown journal · 2021-10-18

    Sterling G. Baird, Tran Diep, Taylor D. Sparks

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  5. DiSCoVeR: a Materials Discovery Screening Tool for High Performance, Unique Chemical Compositions

    Unknown journal · 2021-10-27

    Sterling G. Baird, Tran Diep, Taylor D. Sparks

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  6. DiSCoVeR: a materials discovery screening tool for high performance, unique chemical compositions

    Digital Discovery · 2022-01-01

    Sterling G. Baird, Tran Diep, Taylor D. Sparks

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  7. Deep dive into machine learning density functional theory for materials science and chemistry

    Physical Review Materials · 2022-04-05

    Lenz Fiedler, Karan Shah, Michael Bußmann, Attila Cangi

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  8. Structural transformations and thermal stability of RhGe synthesized under high temperature and pressure

    Journal of Physics Condensed Matter · 2022-08-09

    Larisa V. Kamaeva, Maria V. Magnitskaya, А. А. Суслов, Anatolii V. Tsvyashchenko, N. M. Chtchelkatchev

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  9. Data-driven materials discovery and synthesis using machine learning methods

    Elsevier eBooks · 2022-11-04

    Sterling G. Baird, Marianne Liu, Hasan Muhammad Sayeed, Taylor D. Sparks

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  10. Design Methodologies for Skyrmion-Based Circuits and Systems in AI-Driven Applications: Bi-Directional Integration [Feature]

    IEEE Circuits and Systems Magazine · 2025-01-01

    Santhosh Sivasubramani, C. Kishore, Amit Acharyya, Vihar Georgiev, Rishad Shafik, Themis Prodromakis

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  11. Investigation on the structural, electronic, magnetic, and magnetic anisotropy energies of the CoGe (001) thin films: a comparative DFT and DFT + U study

    Physica Scripta · 2025-08-22

    Arpita Mukerjee, Tushar H. Rana

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  12. Accelerating magnetic materials discovery using interaction matrix-based machine learning descriptors

    Computational Materials Science · 2025-11-21

    Apoorv Verma, Junaid Jami, Amrita Bhattacharya

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  13. A machine learning pipeline for predicting Curie temperature of magnetic topological materials

    Next Materials · 2026-05-06

    Tasneem U. Rehman, Nasreena Yaqoob, Aadil Ahmad Ganaie, Sheikh Irfan, Tasleema Iqbal, Ghulam Nabi Dar

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  14. Above room temperature ferromagnetism at ∼670 K in FeSi–RhSi solid solutions

    Journal of Magnetism and Magnetic Materials · 2026-09-29

    S. V. Demishev, В. В. Бражкин, Aleksandr V. Bokov, О. С. Волкова, R. G. Batulin, Mikhail A. Cherosov, Rushana M. Eremina, Ilshat I. Fazlizhanov, А. В. Шестаков, A. V. Semeno, P. V. Enkovich, Igor P. Zibrov, Anatolii V. Tsvyashchenko

    Read original paper ↗ ·
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