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International Journal of AI for
            Materials and Design
                                                                            ML molecular modeling of Ru: A KAN approach


            elements,  we  can  leverage  the  existing  successful  KAN   Formal analysis: Zhiyu An
            structure that was developed for Ru. This transfer simply   Funding acquisition: Jingjie Yeo
            requires inputting different DFT-calculated datasets for the   Investigation: Zhiyu An
            new target element while maintaining the same architectural   Methodology: Zhiyu An
            framework. However, when considering binary or higher-  Project administration: Jingjie Yeo
            order materials systems, the KAN structure needs to be   Software: Zhiyu An
            appropriately adjusted to accommodate more complex   Resources: Jingjie Yeo
            crystal structures and  atomic  interactions. This  may   Supervision: Jingjie Yeo
            involve modifying the input layer and potentially adjusting   Validation: Jingjie Yeo
            the network’s depth or width to capture the additional   Visualization: Zhiyu An
            complexity of multi-element systems. In addition,   Writing – original draft: Zhiyu An
            integrating KAN with high-throughput screening methods   Writing – review & editing: Jingjie Yeo
            could further expedite the materials discovery process.
            Efforts to incorporate quantum mechanical effects and   Ethics approval and consent to participate
            improve the handling of long-range interactions could   Not applicable.
            enhance the model’s accuracy, especially for extreme
            conditions and diverse material types. This research not   Consent for publication
            only advances our understanding of Ru but also provides a   Not applicable.
            valuable tool for the broader materials science community.
            The  successful  implementation of  KAN in  predicting   Availability of data
            Ru properties represents a significant advancement in
            materials informatics, establishing a more efficient and   The code and dataset for our implementation of the KAN
            accurate pathway for material property prediction that   model can be found at https://github.com/ZhiyuAn-
            could revolutionize the discovery and design of complex   byte/KAN-Model-for-Ru-element  (doi:  10.5281/
            systems like HEAs and refractory superalloys while setting   zenodo.13856262)
            a new standard for ML applications in materials research.  References
            Acknowledgments                                    1.   Naka S, Khan T. Designing novel multiconstituent
                                                                  intermetallics: Contribution of modern alloy theory
            This work used SDSC Expanse at the San Diego          in developing engineered materials.  J  Phase Equilibria.
            Supercomputer Center through allocation BIO240093     1997;18(6):635-649.
            from the Advanced Cyberinfrastructure Coordination
            Ecosystem: Services and Support program supported by      doi: 10.1007/BF02665823.
            National Science Foundation (NSF) grants #2138259,   2.   Yeh JW, Chen SK, Lin SJ, et al. Nanostructured high-entropy
            #2138286, #2138307, #2137603, and #2138296.           alloys with multiple principal elements: Novel alloy design
                                                                  concepts and outcomes. Adv Eng Mater. 2004;6(5):299-303.
            Funding                                               doi: 10.1002/adem.200300567
            J.Y. acknowledges support from the US NSF under the   3.   Cantor B, Chang ITH, Knight P, Vincent AJB. Microstructural
            award CMMI-2338518.                                   development in equiatomic multicomponent alloys. Mater
                                                                  Sci Eng A. 2004;375-377:213-218.
            Conflict of interest
                                                                  doi: 10.1016/j.msea.2003.10.257
            Jingjie Yeo is an Editorial Board Member of this journal   4.   Miracle DB, Senkov ON. A critical review of high entropy
            but was not in any way involved in the editorial and   alloys and related concepts. Acta Mater. 2017;122:448-511.
            peer-review process conducted for this paper, directly or
            indirectly. Separately, other authors declared that they      doi: 10.1016/j.actamat.2016.08.081
            have no known competing financial interests or personal   5.   Soni  V,  Gwalani  B,  Senkov  O,  et al.  Phase  stability  as  a
            relationships that could have influenced the work reported   function of temperature in a refractory high-entropy alloy.
            in this paper.                                        J Mater Res. 2018;33:1-12.
                                                                  doi: 10.1557/jmr.2018.223
            Author contributions
                                                               6.   Senkov  ON,  Crossman  B,  Rao  SI,  et  al.  Mechanical
            Conceptualization: All authors                        properties of an Al10Nb20Ta15Ti30V5Zr20 A2/B2
            Data curation: Zhiyu An                               refractory superalloy and its constituent phases. Acta Mater.


            Volume 2 Issue 1 (2025)                         35                             doi: 10.36922/ijamd.8291
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