Citations (31)
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Articles from other publishers (21)
Srushti Tambe, Divya Jain, Ravi Rawat, Suraj Mali, Mario Angelo Pagano, Anna Maria Brunati & Purnima Amin. (2023) MeltSerts technology (brinzolamide ocular inserts via hot-melt extrusion): QbD-steered development, molecular dynamics, in vitro, ex vivo and in vivo studies. International Journal of Pharmaceutics 648, pages 123579.
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Rajesh Jha & George S. Dulikravich. (2022) Temperature Regimes and Chemistry for Stabilizing Precipitation Hardening Phases in Al–Sc Alloys: Combined CALPHAD–Deep Machine Learning. ASME Open Journal of Engineering 1.
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Rajesh Jha & George S. Dulikravich. (2020) Discovery of New Ti-Based Alloys Aimed at Avoiding/Minimizing Formation of α” and ω-Phase Using CALPHAD and Artificial Intelligence. Metals 11:1, pages 15.
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Rajesh Jha & George S. Dulikravich. (2020) Solidification and heat treatment simulation for aluminum alloys with scandium addition through CALPHAD approach. Computational Materials Science 182, pages 109749.
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Edern Menou, Jérémy Rame, Clara Desgranges, Gérard Ramstein & Franck Tancret. (2019) Computational design of a single crystal nickel-based superalloy with improved specific creep endurance at high temperature. Computational Materials Science 170, pages 109194.
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Alexis Deschamps, Franck Tancret, Imed-Eddine Benrabah, Frédéric De Geuser & Hugo P. Van Landeghem. (2018) Combinatorial approaches for the design of metallic alloys. Comptes Rendus Physique 19:8, pages 737-754.
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Swati Dey, Nashrin Sultana, Partha Dey, Susanta Kumar Pradhan & Shubhabrata Datta. (2018) Intelligent design optimization of age-hardenable Al alloys. Computational Materials Science 153, pages 315-325.
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Rajesh Jha, Nirupam Chakraborti, David R. Diercks, Aaron P. Stebner & Cristian V. Ciobanu. (2018) Combined machine learning and CALPHAD approach for discovering processing-structure relationships in soft magnetic alloys. Computational Materials Science 150, pages 202-211.
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Si-wei Wu, Xiao-guang Zhou, Jia-kuang Ren, Guang-ming Cao, Zhen-yu Liu & Nai-an Shi. (2018) Optimal design of hot rolling process for C-Mn steel by combining industrial data-driven model and multi-objective optimization algorithm. Journal of Iron and Steel Research International 25:7, pages 700-705.
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Swati Dey, Partha Dey & Shubhabrata Datta. (2017) Design of novel age-hardenable aluminium alloy using evolutionary computation. Journal of Alloys and Compounds 704, pages 373-381.
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