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title: Publication-Newsletter-2024-11
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Explore recent studies utilizing Thermo-Calc tools in various fields.

| View in browser Publication Newsletter November 2024 Each month, dozens of peer reviewed papers are published using Thermo-Calc Software products. These papers demonstrate the wide variety of applications and interesting work that is being done with our tools. This is a sampling of some of the interesting papers that have been published in the last months. We hope this is a useful resource for your work.    Steel Machinability improvement by in-operando Tool Protection Layers through designed steel alloying: The case of manganese steel Axel Bjerke, Susanne Norgren, Henrik Larsson, Andreas Markström, Filip Lenrick, Rachid M'Saoubi, Jörgen Petersson, Latifa Melk, and Volodymyr Bushlya Journal of Materials Processing Technology   Evaluation and quantification of diffusion wear between cutting chip and workpiece using forging press Junichi Nakagawa, Yusuke Yoshimi, Katsumasa Chiba, and Ryutaro Tanaka Manufacturing Letters HEAs Multicomponent alloys designed to sinter Yannick Naunheim and Christopher A. Schuh Nature Communications   Spinodally reinforced W-Cr fusion armour Alexander J Knowles, Tat Yiu Spencer Cheung, Kan Ma, Russel Dodds, Samuel A Humphry-Baker, Felipe F. Morgado, Shyam S Katnagallu, Eduardo Saiz, Baptiste Gault, Christopher D Hardie, and David Dye Applied Materials Today   Thermodynamics-Guided High-Throughput Discovery of Eutectic High-Entropy Alloys for Rapid Solidification Liuliu Han, Zhongji Sun, Wenzhen Xia, Shao-Pu Tsai, Xukai Zhang, Jing Rao, Pei Wang, Andrew Chun Yong Ngo, Zhiming Li, Yong Liu, and Dierk Raabe Advanced Science Upcoming Machine Learning Webinar Series We are happy to introduce our new five-part webinar series on machine learning, taking place between November 2024 and February 2025. The first webinar, CALPHAD by Machine Learning and for Machine Learning, is on November 20th at 2 PM CET. Register today! See All Upcoming ML Webinars Aluminium  A novel atomic mobility model for alloys under pressure and its application in high pressure heat treatment Al-Si alloys by integrating CALPHAD and machine learning Wang Yi, Sa Ma, Jianbao Gao, Jing Zhong, Tianchuang Gao, Shenglan Yang, Lijun Zhang, and Qian Li Journal of Materials Science & Technology   Mechanical properties and microstructural characterisation including high-temperature performance of Al-Mn-Cr-Zr-based alloys tailored for additive manufacturing Bharat Mehta, Sven Bengtsson, Dmitri Riabov, Elanghovan Natesan, Karin Frisk, Johan Ahlström, and Lars Nyborg Materials & Design Nickel Implementing numerical algorithms to optimize the parameters in Kampmann–Wagner Numerical (KWN) precipitation models Taiwu Yu, Adam Hope, and Paul Mason npj Computational Materials   CALPHAD approach for prediction of local phase transformation at superlattice stacking fault in gamma prime precipitates in superalloys with multi-component system Takuma Saito, Hiroshi Harada, Taichi Abe, and Hideyuki Murakami Next Materials  High Temperature Materials Thermodynamic modeling of the Hf-Ta-O system for the design of oxidation resistant HfC-TaC ceramics  Rahim Zaman, Elizabeth J. Opila, and Bi-Cheng Zhou Open Ceramics Magnesium  Design and development of large-diameter Mg-Zn-Ca bulk metallic glass for biomedical applications: A mechanical and corrosion perspective  Rajesh Kumari rajendran, Divyanshu Aggarwal, Manon Bonvalet Rolland, Cosmin Gruescu, and Rajashekhara Shabadi Intermetallics Additive Manufacturing Research progress in CALPHAD assisted metal additive manufacturing Ya-qing Hou, Xiao-qun Li, Wei-dong Cai, Qing Chen, Wei-ce Gao, Du-peng He, Xue-hui Chen, and Hang Su China Foundry   LPBF Processability of NiTiHf Alloys: Systematic Modeling and Single-Track Studies Hediyeh Dabbaghi, Mohammad Pourshams, Mohammadreza Nematollahi, Behrang Poorganji, Michael M. Kirka, Scott Smith, Chins Chinnasamy, and Mohammad Elahinia Materials Machine Learning Design of novel high entropy alloys based on the end-of-life recycling rate and element lifetime for cryogenic applications Mehran Bahramyan, Reza T. Mousavian, Gopinath Perumal, Gavin Roche Griffin,  Yanuar Rohmat Aji Pradana, James G. Carton, David J. Browne, and Dermot Brabazon Materials & Design   Prediction of martensitic transformation start temperature of steel using thermodynamic model, empirical formulas, and machine learning models Zidong Lin, Jiaqi Wang, Chenxv Zhou, Zhen Sun, Yanlong Wang, and Xinghua Yu Modelling and Simulation in Materials Science and Engineering Do you have a recently published paper you'd like us to include?   Please send us a link and we will consider it for the next Publication Newsletter. We also consider slide decks from presentations, videos of talks, and anything that may be of technical benefit to our broad user community. Training Videos Documentation Free Educational Package 40+ Year track record 33,000+ Citations in journals 1,000+ Citations in patent applications 1,800+ Organizations around the world If you have any questions or would like more information about Thermo-Calc, email us at info@thermocalc.com - and don't forget to visit our social media channels. Thermo-Calc Software AB, Råsundavägen 18, Solna, Sweden SE-169 67, Sweden, +46 8 545 959 30 Manage preferences |
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