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Papers citing Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus ab Initio Methods

  1. Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

    Chemical Reviews · 2021

    John A. Keith, Valentín Vassilev-Galindo, Bingqing Cheng, Stefan Chmiela, Michael Gastegger, Klaus‐Robert Müller, Alexandre Tkatchenko

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  2. Some properties of LiInSi half-Heusler alloy via density functional theory

    Bulletin of Materials Science · 2021

    Emel Kılıt Dogan, Sinem Erden Gülebağlan

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  3. Machine learning for alloys

    Nature Reviews Materials · 2021

    Gus L. W. Hart, Tim Mueller, Cormac Toher, Stefano Curtarolo

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  4. Recent machine learning guided material research - A review

    Computational Condensed Matter · 2021

    Mohammad Asaduzzaman Chowdhury, Nayem Hossain, Md. Bengir Ahmed Shuvho, Mohammad Fotouhi, Md Sakibul Islam, Md. Ramjan Ali, Mohammod Abul Kashem

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  5. Crystal graph attention networks for the prediction of stable materials

    Science Advances · 2021

    Jonathan Schmidt, Love Pettersson, Claudio Verdozzi, Silvana Botti, Miguel A. L. Marques

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  6. Preparation and In‐Situ High‐Throughput Screening of Bi Thixotropic Ink

    Advanced Materials Interfaces · 2021

    Lei Jiang Yao, Zhuoming Xu, Junhao Qiu, Jian Zhang, Dongwang Yang, Yonggao Yan, Xinfeng Tang

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  7. Machine learning guided microwave-assisted quantum dot synthesis and an indication of residual H 2 O 2 in human teeth

    Nanoscale · 2022

    Quan Xu, Yaoyao Tang, Peide Zhu, Weiye Zhang, Yuqi Zhang, Oliver Sanchez Solis, Travis Shihao Hu, Juncheng Wang

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  8. Mysteriöse Materialien

    Künstliche Intelligenz · 2022

    Michael L. Gross

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  9. Random projections and kernelised leave one cluster out cross validation: universal baselines and evaluation tools for supervised machine learning of material properties

    Digital Discovery · 2022

    Samantha Durdy, Michael W. Gaultois, Vladimir V. Gusev, Danushka Bollegala, Matthew J. Rosseinsky

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  10. Effect of (Na, Si, Al, K or Ca) doping on the electronic structure and optoelectronic properties of half-Heusler LiMgN alloy: Ab initio framework

    Solid State Communications · 2022

    Younes Ziat, Zakaryaa Zarhri, Maryama Hammi, Hamza Belkhanchi, Ousama Ifguis, Andrés Domínguez Cano, Alicia Carrillo-Bastos

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  11. Effect of interfacial bridging atoms on the strength of Al/CNT composites: machine-learning-based prediction and experimental validation

    Journal of Materials Research and Technology · 2022

    Keun-Won Lee, Hansol Son, Ki Sub Cho, Hyunjoo Choi

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  12. Structural, elastic, mechanical, electronic, magnetic and optical properties of half-Heusler compounds CoFeZ (Z = P, As, Sb): A GGA+U approximation

    Materials Science in Semiconductor Processing · 2022

    Sonila Zahir, Nasir Mehmood, Rashid Ahmad, Sajid Ullah Khan, Altaf Ur Rahman, Alaa Dahshan

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  13. Machine Learning in Materials Chemistry: An Invitation

    Machine Learning with Applications · 2022

    Daniel M. Packwood, Linh Thi Hoai Nguyen, Pierluigi Cesana, Guoxi Zhang, Aleksandar Staykov, Yasuhide Fukumoto, Đình Hòa Nguyễn

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  14. Machine learning assisted discovering of new M 2 X 3 ‐type thermoelectric materials

    Rare Metals · 2022

    Du Chen, Feng Jiang, Liang Fang, Yongbin Zhu, Caichao Ye, Weishu Liu

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  15. First-principles study of optoelectronic and thermoelectric properties of LiCaX (X=N, P and As) half-Heusler semiconductors

    Journal of Solid State Chemistry · 2022

    Abdelouahid Azouaoui, Ahmed Hourmatallah, Najib Benzakour, Khalid Bouslykhane

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  16. Heusler alloys for metal spintronics

    MRS Bulletin · 2022

    Atsufumi Hirohata, David C. Lloyd

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  17. Machine-learning-assisted discovery of empirical rule for inherent brittleness of full Heusler alloys

    Journal of Material Science and Technology · 2022

    Haoxuan Liu, Haile Yan, Nan Jia, Shuai Tang, Daoyong Cong, Bo Yang, Zongbin Li, Yudong Zhang, Claude Esling, Xiang Zhao, Liang Zuo

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  18. Orbital angular momentum optical communications enhanced by artificial intelligence

    Journal of Optics · 2022

    Baoli Li, Haitao Luan, Keyao Li, Qinyu Chen, Weijia Meng, Ke Cheng, Miṅ Gu, Xinyuan Fang

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  19. Computational study of structural, electronic, elastic and vibrational properties of LiAlSi, NaAlSi, and KAlSi Half-Heusler alloys

    Indian Journal of Physics · 2022

    Sabrina Bounab, Abdelouahb Bentabet

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  20. Machine learned synthesizability predictions aided by density functional theory

    Communications Materials · 2022

    Andrew S. Lee, Suchismita Sarker, James E. Saal, Logan T. Ward, Christopher K. H. Borg, Apurva Mehta, Christopher Wolverton

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  21. Machine‐Learning‐Assisted Determination of the Global Zero‐Temperature Phase Diagram of Materials

    Advanced Materials · 2023

    Jonathan Schmidt, Noah Hoffmann, Hai‐Chen Wang, Pedro Borlido, Pedro J. M. A. Carriço, Tiago F. T. Cerqueira, Silvana Botti, Miguel A. L. Marques

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  22. Roadmap on thermoelectricity

    Nanotechnology · 2023

    Cristina Artini, Giovanni Pennelli, Patrizio Graziosi, Zhen Li, Neophytos Neophytou, Claudio Melis, Luciano Colombo, Eleonora Isotta, Ketan Lohani, Paolo Scardi, Alberto Castellero, Marcello Baricco, Mauro Palumbo, Silvia Casassa, Lorenzo Maschio, Marcella Pani, Giovanna Latronico, Paolo Mele, Francesca Di Benedetto, Gaetano Contento, Maria Federica De Riccardis, R. Fucci, Barbara Palazzo, A. Rizzo, Valeria Demontis, Domenic Prete, Muhammad Isram, Francesco Rossella, Alberto Ferrario, Alvise Miozzo, Stefano Boldrini, Elisabetta Dimaggio, Franzini M., Simone Galliano, Claudia Barolo, Saeed Mardi, Andrea Reale, Bruno Lorenzi, Dario Narducci, Vanira Trifiletti, Silvia Milita, A. Bellucci, Daniele Maria Trucchi

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  23. Influence of pressure on structural stability and physical properties of NaCaZ (Z=N, P and As) half-Heusler semiconductor materials

    International Journal of Modern Physics B · 2023

    Abdelouahid Azouaoui, Amine Harbi, M. Moutaabbid, Najib Benzakour, Ahmed Hourmatallah, Khalid Bouslykhane, Rachid Masrour, A. Chahboun

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  24. Machine learning prediction of thermal and elastic properties of double half-Heusler alloys

    Materials Chemistry and Physics · 2023

    А. Н. Филанович, А. А. Повзнер, Alexey V. Lukoyanov

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  25. Principles of Machine Learning and Its Application to Thermal Barrier Coatings

    Coatings · 2023

    Yuan Liu, Kuiying Chen, Amarnath Kumar, Prakash Patnaik

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  26. Machine learning framework to predict instantaneous heat release rate of polymer nanocomposites in cone calorimetry

    Polymer Degradation and Stability · 2023

    Junchen Xiao, Jose Hobson, Maciej Harańczyk, De‐Yi Wang

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  27. Structural, Electronic, and Magnetic Characteristics of Co1-xFexMnSb: Insight from DFT Computation

    Journal of Superconductivity and Novel Magnetism · 2023

    L. Boumia, F. Semari, M. Mokhtari, Fethallah Dahmane, Mohammed S. Abu-Jafar, A. Boumaza, Muhammad Waqas Iqbal, Hocine Meradji, R. Khenata, Saad Bin-Omran

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  28. Machine Learning-Based Predictions for Half-Heusler Phases

    Inorganics · 2023

    Kaja Bilińska, Maciej J. Winiarski

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  29. Machine-learning guided prediction of thermoelectric properties of topological insulator Bi 2 Te 3− x Se x

    Journal of Materials Chemistry C · 2024

    K E Vipin, Prahallad Padhan

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  30. Predictive analysis of a new FeVTe alloy from first principles: An excellent choice for thermoelectric applications

    Computational Condensed Matter · 2024

    Nelson Oyindenyifa Nenuwe, Ayodeji S. Yebovi

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  31. Bibliometric Analysis: Collaboration Networks In Discovery Learning Research

    Jurnal Penelitian Pendidikan IPA · 2024

    Andi Suparjo, Edwin Musdi, Yerizon Yerizon, I Made Arnawa

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  32. Alloys innovation through machine learning: a statistical literature review

    Science and Technology of Advanced Materials Methods · 2024

    Alireza Valizadeh, Ryoji Sahara, Maaouia Souissi

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  33. Iridium's influence on the structural, electronic and mechanical characteristics of ZrCo1-xIrxSb half-heusler alloys

    Physica B Condensed Matter · 2024

    B Abdelkebir, Zoulikha Charifi, Hakim Baaziz, Torkia Ghellab, R. Khenata, Saad Bin-Omran

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  34. Classification enhanced machine learning model for energetic stability of binary compounds

    Computational Materials Science · 2024

    Yaqi Liu, Ziran Liu, Tengfei Xu, Dominik Legut, Xingyao Yin, Ruifeng Zhang

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  35. Highly Refractive Transparent Half‐Heuslers for Near Infrared Optics and Their Material Design

    Advanced Optical Materials · 2024

    Akihiro Ishii, Ruon Katsuragi, Satoru Tanaka, Itaru Oikawa, Masaaki Imura, Hitoshi Takamura

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  36. Phase Prediction via Crystal Structure Similarity in the Periodic Number Representation

    Inorganic Chemistry · 2024

    Cem Oran, Riccarda Caputo, Pierre Villars, Hasan Bilal Özcü, Feraye Hatice Canbaz, Adem Tekin

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  37. Predicting and Enhancing Ductility in X2YZ-type Heusler Alloys Using Machine Learning and Abinitio Calculations

    International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) · 2024

    Haoxuan Liu, Xiang Zhao, Haile Yan

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  38. Comprehensive DFT study on the physical properties of the CsNaICl quaternary Heusler compound

    Materials Today Communications · 2024

    S. El Kamli, yassin SELMANI, A. Jabar, L. Bahmad, A. Kassou-Ou-Ali

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  39. Bridging current and future innovations to unlock the potential of multifunctional materials for sustainable energy applications

    Materials Advances · 2025

    Aparna Ashok, Jitendra Pal Singh, Anuj Kumar, Neeru Bhagat

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  40. SynCoTrain: a dual classifier PU-learning framework for synthesizability prediction

    Digital Discovery · 2025

    Sasan Amariamir, Janine George, Philipp Benner

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  41. Typical thermoelectric materials: Progress and prospects

    Physics Letters A · 2025

    Xingzhu Yuan, Yinchang Zhao, Zhenhong Dai

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  42. A Comprehensive Analysis of CoHfX (X = As, Bi) Half Heusler Alloys: Implications for High-Performance Thermoelectric and Photovoltaic Devices

    Journal of Inorganic and Organometallic Polymers and Materials · 2025

    Bharti Gurunani, Dinesh C. Gupta

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  43. TiNiSi-type EuPdBi

    Zeitschrift für Kristallographie - New Crystal Structures · 2025

    Trinath Mishra, Rainer Pöttgen

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  44. Many-body ab initio study of quasiparticles, optical excitations, and excitonic properties in Li Zn As and Sc Ag C for photovoltaic applications

    Physical Review Applied · 2025

    Vinod Kumar Solet, Sudhir K. Pandey

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  45. Machine learning investigation of chemical disorder effects in 24-valence-electron full-Heusler alloys with single magnetic element

    Journal of Magnetism and Magnetic Materials · 2025

    Yanqi Guo, Chaokun Guo, Yuanji Xu, Bing Zheng, Xiaodong Ni, Fuyang Tian

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  46. Exploring Phase Stability and Transport Properties of Emerging Thermoelectric Materials: Machine Learning and Experimental Insights

    ACS Applied Energy Materials · 2025

    Abhigyan Ojha, Ayush Tiwari, Sai Aditya Tagore Vambaravelli, Kisor Kumar Sahu, Sivaiah Bathula

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  47. Machine Learning in Flocculant Research and Application: Toward Smart and Sustainable Water Treatment

    Separations · 2025

    Caichang Ding, Ling Shen, Qiyang Liang, Lixin Li

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  48. A physics-informed machine learning framework for accelerated discovery of single-phase B2 multi-principal element intermetallics

    npj Computational Materials · 2025

    Weijiang Zhao, Zhaoqi Chen, Yinghui Shang, Qing Wang, Li Wang, Bin Liu, Yong Liu, Yong Gang Yang

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  49. Prediction of ABX Compounds (X = As, Sn, Sb, Pb, or Bi) with the MgAgAs Structure Type and Their Crystal Lattice Parameters

    Inorganic Materials Applied Research · 2025

    N. N. Kiseleva, V. A. Dudarev, A. V. Stolyarenko, Oleg Valentinovich Sen'ko, A. A. Dokukin, Yu. O. Kuznetsova

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  50. Polymers and the eco-design transformation. A cosmetic perspective

    Green Materials · 2025

    Gustavo S. Luengo, Hugo Tanner, Jacques L’Haridon, Julien Portal, Fabien Léonforte, Fabien E. I. Deswarte, Sandrine Chodorowski‐Kimmès, Michel Philippe

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