PEER-REVIEWED PUBLICATIONS
N.H. Gowtham et al. Machine learning analysis for melt pool geometry prediction of direct energy deposited SS316L single tracks. Journal of Materials Science, Vol. 60, pp. 1477-1503 (2025). DOI: 10.1007/s10853-024-10276-5
N.H. Gowtham et al. Benchmark Sample Design for the Validation of Residual Stress Measurements by Diffraction: Insights and Practicalities. Integrated Materials Manufacturing Innovation, Vol. 13, pp. 955-968 (2024). DOI: 10.1007/s40192-024-00385-z
Michael White, N.H. Gowtham et al. Exploring descriptors for titanium microstructure via digital fingerprints from variational autoencoders. Computational Materials Science, Vol. 240, Article 112992 (2024). DOI: 10.1016/j.commatsci.2024.112992
N.H. Gowtham, B. Basu. Implementing machine learning approaches for accelerated prediction of biomechanical response in acetabulum of a hip joint. Journal of Mechanical Behavior of Biomedical Materials, Vol. 153:106495 (2024). DOI: 10.1016/j.jmbbm.2024.106495
N.H. Gowtham et al. A deep adversarial approach for the generation of synthetic titanium alloy microstructures with limited training data. Computational Materials Science, Vol. 230, 112512 (2023). DOI: 10.1016/j.commatsci.2023.112512
Srimanta Barui, Deepa Mishra, N.H. Gowtham, B. Basu. No more ‘core-shell’ in binderjetting of bioceramics: Novel solution and experimental validation in microstructure and mechanical properties. Journal European Ceramic Society, Vol. 43(3), 1178-1188 (2023). DOI: 10.1016/j.jeurceramsoc.2022.10.055
B. Basu, N.H. Gowtham et al. Biomaterialomics: Data science-driven pathways to develop fourth-generation biomaterials. Acta Biomaterialia, Vol. 143, 1-25 (2022). DOI: 10.1016/j.actbio.2022.02.027
Nihal Kottan, N.H. Gowtham, B. Basu. Development and Validation of a Finite Element Model of Wear in UHMWPE Liner Using Experimental Data From Hip Simulator Studies. ASME Journal of Biomechanical Engineering, Vol. 144(3), 031001 (2022). DOI: 10.1115/1.4052373
PEER-REVIEWED MANUSCRIPTS SUBMITTED
N.H. Gowtham, et al. Exploring StyleGAN2-ADA for titanium alloy microstructure generation: A study on data scarcity and augmentations. Manuscript under review in Computational Materials Science.
BOOK CHAPTERS
Vidushi Sharma, N.H. Gowtham, Biswanath Kundu, Vamsi Krishna Balla, D.C. Sundaresh, Bikramjit Basu. Unraveling Translational Research on Ultra-High Molecular Weight Polyethylene in Total Hip Joint Arthroplasty: A Lab-to-Industry-Scale Pilot Study. In Emerging Materials and Technologies for Bone Repair and Regeneration, CRC Press, 2024, pp. 1–26. eBook ISBN: 9781003307310. Link
Rakesh Pemmada, N.H. Gowtham, Yiyun Xia, Bikramjit Basu, Vinoy Thomas. ML and AI approaches for design of tissue scaffolds. In Artificial Intelligence in Tissue and Organ Regeneration, Academic Press, 2023, pp. 29–56. ISBN: 9780443184987. DOI: 10.1016/B978-0-443-18498-7.00008-9. Link
CONFERENCE PRESENTATIONS & TALKS
07/2025 — 12th European Solid Mechanics Conference, Lyon, France
12/2024 — Invited talk, European Materials Research Society Spring Meeting, Strasbourg, France
12/2024 — 3rd International Conference on Advances in Materials and Processing, Roorkee, India
11/2023 — Artificial Intelligence in Materials Science and Engineering, Saarbrucken, Germany