IIT Dhanbad

• Design and development of high-strength ductile Titanium alloys

ISRO (No: ISRO/RES/3/1136/25-26, 2025-2027), 25.00400 Lakhs Rupees, PI, (Ongoing)

• Design and development of high entropy shape memory alloys for actuator applications in the defence sector

DRDO (No: ARDB/M&M/4119/2144), 2024-26

29.6214 Lakhs Rupees, PI, (Ongoing)

• Evaluation of microstructure development and precipitation kinetics of high nitrogen stainless steel (used in ballistic applications) during hot working conditions

DRDO (No: ARMREB/MAA/2025/329), 2025-28, 49,20,900 Lakhs Rupees, Co-PI

(Ongoing)

• Development of Microstructure-Property-Processing Correlations for nickel-based superalloys

ISRO (No. ISRO/RES/3/909/21-22), 2022-25, 28.36 Lakhs Rupees, Co-PI, (Ongoing)

• Development of single-phase BCC refractory high entropy alloys for high-temperature applications using machine learning (ML) and experimental approaches

DRDO (No: ARDB/MM/4095/2145), 2024-27, 88.996 Lakhs Rupees, Co-PI, (Ongoing)

• Development of Innovative and Cutting-Edge Indigenous Technologies for Critical Minerals Exploration and Smart/Sustainable Mining

ANRF/PAIR/2025/000027/PAIR, 2025-26, 230 Lakhs Rupees, Co-PI, (Ongoing)

• Machine learning-enabled framework for the design of new multicomponent alloys

DST (DST- SERB, SRG/2022/001943), 30. 91 Lakhs Rupees, PI (Completed)

• Multiscale simulation of weld solidification cracking in Ni-based superalloys used in aerospace applications

ISRO (No. ISRO/RES/3/880/21-22), 19.74 Lakhs Rupees, PI, (Completed)

• Rapid solidification studies for the design of alloys for additive manufacturing

IIT (ISM) Dhanbad, 16 Lakhs Rupees, PI , (Completed)

IIT Dhanbad

• Technology development for the manufacturing of thin electrical steel laminations using high-pressure die casting: Tata Steel, 2025-26, 14.16  Lakhs Rupees, Consultant, (Ongoing)

• Editor for Nature Scientific Reports (Q1 journal, Oct 2024- present)
• Guest Editor for Materials  Performance and Characterization,  ASTM International (https://www.astm.org/materials-performance-and-characterization.html#about)
• Editor for the Special Issue "High-Entropy Alloys: From Fundamentals to Applications" in Crystals (ISSN 2073-4352) Jointly with Dr. Amalraj Marshal (Northwestern University), Dr. Jiří Zýka (Czech Republic), Prof. Dr. Jakub Čížek (Charles University, Czech Republic), Dr. Hany R. Ammar (Qassim University, Buraydah
• Member of PMRF students progress review committee for Mechanical and Materials domain (External, December 2023, June 2024, December 2024 section)
• Journal Reviewer: Journal of Alloys and Compounds, MSEA, Metallurgical and Materials Transactions A, Intermetallics, Materials and Design, Acta Materialia, Transactions of the Indian Institute of Metals, Applied Material Today,  etc
• Life member, IIM (membership number: 58285)

Journal Articles: 52 (number of Q1 articles: 30, number of Q2 articles: 16) 

Independent Career at IIT Dhanbad (* corresponding author)

1. Wegner Jan, M R Rahul, Bruckhaus Lars, Kleszczynski Stefan, Simulation guided in-situ alloying in the medium entropy Fe-Ni-Nb system via laser powder bed fusion, Progress in Additive Manufacturing, (2026). https://doi.org/10.1007/s40964-026-01564-4. (Q2, Impact factor: 5.2)
2. S Kamlesh, D Shruti, MK Singh, R Santhanam, MR Rahul*, Materials Informatics approach to design new high-entropy shape memory alloys, Scripta Materialia, 271(2026), 117013, https://doi.org/10.1016/j.scriptamat.2025.117013 , (Q1, Impact factor: 5.6)
3. Raushan Kumar, M R Rahul*, Alok Kumar Das*, Macroscale simulation and experimental correlation of Wire Arc Additive Manufacturing of IN-82 superalloy, Journal of Alloys and Compounds, (2026), 185869,  https://doi.org/10.1016/j.jallcom.2025.185869, (Q1, Impact factor: 6.3)
4. Reliance Jain, Sandeep Jain, Sheetal Dewangan,Rahul M.R., Sumanta Samal, Gyosik Youn, Yongho Jeon, Krishanu Biswas, Gandham Phanikumar, Byungmin Ahn, Towards intelligent processing: Machine learning-based prediction of flow curves and hot workability maps for Ti71Fe25.15Sn3.85 alloy, Journal of Materials Research and Technology, 39 (2025), 8665-8673, https://doi.org/10.1016/j.jmrt.2025.11.174, (Q1, Impact factor: 6.6)
5. Kritik Saxena, Gaurav Nandan, Rahul M R*, M Agilan, Gandham Phanikumar, Integrated computational materials engineering framework to study the microstructure formation in XH67MBTЮ superalloy welds, Integrating Materials and Manufacturing Innovation, (2025),  https://doi.org/10.1007/s40192-025-00428-z, (Q2, Impact factor: 3.3)
6. Manish Kumar Singh, M Agilan, Ravi Kesavan, M R Rahul*, Effect of varying Al/Ta atomic ratio on precipitation behaviour and mechanical properties of CoCrFeNiTa0.395 Eutectic High Entropy Alloy, Materials science and Engineering A, (2025), 148886, https://doi.org/10.1016/j.msea.2025.148886, (Q1, Impact factor: 7)
7. R Kumar, K Sahoo, MK Singh, M R Rahul* , K Ashok, Development of cost-effective scrap-tolerant bulk-scale high entropy alloys, Journal of Alloys and Metallurgical Systems,(2025), 100190, https://doi.org/10.1016/j.jalmes.2025.100190 , (Q1)
8. M Surya Prakash, A Kamaraj, R V, M R Rahul*, A computer vision-based approach for identification of non-metallic inclusions in the steel industry products, Journal of Industrial Information Integration, 46 (2025), 100860, https://doi.org/10.1016/j.jii.2025.100860, (Q1, Impact factor: 11.6)
9. Rashmi Priya Parida, Nirmal Kumar Singh, Amitava Mandal, MR Rahul, Machine learning framework for accurate melt pool dimensions prediction in selective laser melting of Inconel 718 under high linear energy density: Surpassing Rosenthal equation limitations, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, (Q2, Impact factor: 2.2).
10. Jain Reliance, Jain Sandeep, Dewangan Sheetal Kumar, M R Rahul, Samal Sumanta, Song Eunhyo, Lee Younggeon, Jeon Yongho, Biswas Krishanu, Phanikumar Gandham, Ahn. Byungmin, Machine-learning-driven prediction of flow curves and development of processing maps for hot-deformed Ni-Cu-Co-Ti-Ta alloy, Journal of Materials Research and Technology, (2025), (Q1, Impact factor: 6.6)
11. Shit Sarita, M Agilan, M R Rahul*, Gandham Phanikumar, Integrated macro-micro scale and physical simulation framework for optimising electron beam welds of Ni-based superalloy, Materials Characterization, 221 (2024), 114699, https://doi.org/10.1016/j.matchar.2024.114699, (Q1, Impact factor: 4.8)
12. Manish Kumar Singh, B. Nithin, Kesavan Ravi, M.R. Rahul*, Simulation-guided design of novel precipitation-strengthened eutectic high entropy alloy, Intermetallics 175 (2024), 108501, https://doi.org/10.1016/j.intermet.2024.108501, (Q1, Impact factor: 4.4)
13. Saswati Swateelagna, Manish Singh, M.R. Rahul*, Explainable Machine Learning based approach for the design of new refractory high entropy alloys, Intermetallics 167 (2024), 108198, https://doi.org/10.1016/j.intermet.2024.108198, (Q1, Impact factor: 4.4)
14. L Naveen, Umre Priyanka, Chakraborty Poulami, M.R. Rahul, Samal Sumanta, Raghvendra Tewari, Development of single-phase BCC refractory high entropy alloys using machine learning techniques, Computational Materials Science, 238 (2024), 112917, https://doi.org/10.1016/j.commatsci.2024.112917, (Q2, Impact factor: 3.3)
15. Vivek Sharma, Rahul M R, Ashis Mallick, Microstructural, mechanical, and tribological behaviors of Cu40Fe30Mn20Cr5Ti5 high entropy alloy via powder metallurgy route, Materials Today Communications, 38 (2024), 108313, https://doi.org/10.1016/j.mtcomm.2024.108313,  (Q2, Impact factor: 3.8)
16. Surya Prakash Mishra, M R Rahul*, A detailed study of convolutional neural networks for the identification of microstructure, Materials Chemistry and Physics, 308 (2023), 128275, https://doi.org/10.1016/j.matchemphys.2023.128275, (Q2, Impact factor: 4.6)
17. Shambhu Kushwaha, M Agilan, Rahul M R*, Gandham Phanikumar,Study of TIG weld microstructure formation in Inconel 718 alloy using ICME approach, Integrating Materials and Manufacturing Innovation, (2023), https://doi.org/10.1007/s40192-023-00317-3, (Q2, Impact factor: 3.3)
18. Piyush Kumar, M R Rahul, Sumanta Samal, Abhijit Ghosh, Gandham Phanikumar,  Constitutive Behavior With Microstructure and Texture Evolution During the High-Temperature Deformation of Fe11.5Co20.6Ni40.7Cr12.2Al7.8Ti7.2 High-Entropy Alloy, Metallurgical and Materials Transactions A, 54 (2023), 3249–3260, https://doi.org/10.1007/s11661-023-07093-x, (Q1, Impact factor: 2.8)
19. Reliance Jain, M R Rahul, Poulami Chakraborty, Rama Krushna Sabat, Sumanta Samal, Nokeun Park, Gandham Phanikumar, Raghvendra Tewari, Integrated experimental and modeling approach for hot deformation behavior of Co-Cr-Fe-Ni-V High Entropy Alloy, Journal of Materials Research and Technology, 25(2023), 840-854, https://doi.org/10.1016/j.jmrt.2023.05.257, (Q1, Impact factor: 6.4)
20. A Bansal, P Kumar, S Yadav, VS Hariharan, M R Rahul*, G Phanikumar, Accelerated design of high entropy alloys by integrating high throughput calculation and machine learning, Journal of Alloys and Compounds, 960 (2023), 170543, https://doi.org/10.1016/j.jallcom.2023.170543, (Q1, Impact factor: 6.2)
21. K Saphal, P Hrutidipan, S Naishalkumar, M R Rahul*, G Phanikumar, Machine learning enabled processing map generation for high-entropy alloy, Scripta Materialia, 234 (2023), 115543, https://doi.org/10.1016/j.scriptamat.2023.115543, (Q1, Impact factor: 6)
22. P Kumar, R Jain, M R Rahul, A Ghosh, S Samal, G Phanikumar, High Temperature Deformation Behavior and Processing Maps of FeCoNiCrAlTi Dual Phase High Entropy Alloy,Metals and Materials International, (2023),  https://doi.org/10.1007/s12540-023-01399-6, (Q1, Impact factor: 3.5)
23. AS Bundela, M R Rahul*, Application of Machine Learning Algorithms With and Without Principal Component Analysis for the Design of New Multiphase High Entropy Alloys, Metallurgical and Materials Transactions A, 53 (2022), 3512–3519, https://doi.org/10.1007/s11661-022-06764-5, (Q1, Impact factor: 2.8)
24. AS Bundela, M R Rahul*, Machine learning-enabled framework for the prediction of mechanical properties in new high entropy alloys, Journal of alloys and compounds, 908 (2022) 164578, https://doi.org/10.1016/j.jallcom.2022.164578, (Q1, Impact factor: 6.2)
25. VS Goud, Rahul M R*, G Phanikumar, Prediction of growth velocity of undercooled multicomponent metallic alloys using a machine learning approach, Scripta Materialia, 207 (2022), 114309, https://doi.org/10.1016/j.scriptamat.2021.114309, (Q1, Impact factor: 6)
26. AK Sah, Agilan, M, S Dinesh raj, M R Rahul*, B Govind,Machine learning-enabled prediction of density and defects in additively manufactured Inconel 718 alloy, Materials Today Communications, 30 (2022), 103193, https://doi.org/10.1016/j.mtcomm.2022.103193, (Q2, Impact factor: 3.8)
27. M R Rahul*, M Agilan, D Mohan, G Phanikumar, Integrated experimental and simulation approach to establish the effect of elemental segregation in Inconel 718 welds, Materialia, 26 (2022), 101593, https://doi.org/10.1016/j.mtla.2022.101593, (Q2, Impact factor: 3.4)
28. S Naishalkumar, DJ Mathew, M R Rahul*, G Phanikumar, Microstructure prediction of eutectic high entropy alloy using physical and computer simulation for additive manufacturing condition, Journal of alloys and compounds, 929 (2022), 167268, https://doi.org/10.1016/j.jallcom.2022.167268, (Q1, Impact factor: 6.2)
29. Yegi Vamsi Krishna, Ujjawal Kumar Jaiswal, Rahul M R*, Machine learning approach to predict new multiphase high entropy alloys, Scripta Materialia, 197 (2021), 113804, https://doi.org/10.1016/j.scriptamat.2021.113804, (Q1, Impact factor: 6)
30. Ujjawal Kumar Jaiswal, Yegi Vamsi Krishna, Rahul M R*, Gandham Phanikumar, Machine learning-enabled identification of new medium to high entropy alloys with solid solution phases, Computational Materials Science,197 (2021), 110623, https://doi.org/10.1016/j.commatsci.2021.110623, (Q2, Impact factor: 3.3)

31. Surya Prakash Mishra and  Rahul M R*, A comparative study and development of a novel deep learning architecture for accelerated identification of microstructure in material science, Computational Materials Science, 200 (2021), 110815, https://doi.org/10.1016/j.commatsci.2021.110815, (Q2, Impact factor: 3.3)

     

• Before IIT Dhanbad

32. Naishalkumar Shah, Rahul M R*, Sandip Bysakh, Gandham Phanikumar, Microstructure stability during high-temperature deformation of CoCrFeNiTa eutectic high entropy alloy through nano-scale precipitation, Materials science and Engineering A, 824 (2021), 141793, https://doi.org/10.1016/j.msea.2021.141793, (Q1, Impact factor: 6.4)
33. Naishalkumar Shah, Rahul M R* and Gandham Phanikumar, Accelerated design of eutectic high entropy alloy by ICME approach, Metallurgical and Materials Transactions A, (2021), 52 (5), 1574-1580, https://doi.org/10.1007/s11661-021-06218-4, (Q1, Impact factor: 2.8)
34. Reliance Jain, Rahul M R, Poulami Chakraborty, Rama Krushna Sabat, Sumanta Samal, Gandham Phanikumar, Raghvendra Tewari, Design and deformation characteristics of single-phase Co-Cr-Fe-Ni-V high entropy alloy, Journal of Alloys and Compounds, 888 (2021), 161579, https://doi.org/10.1016/j.jallcom.2021.161579, (Q1, Impact factor: 6.2)
35. Rahul M R, G. Phanikumar, Solidification behaviour of undercooled equiatomic FeCuNi alloy, Journal of Alloys and Compounds, 815 (2020) 152334, https://doi.org/10.1016/j.jallcom.2019.152334, (Q1, Impact factor: 6.2)
36. Rahul M R, G Phanikumar, Growth kinetics, microhardness and microstructure evolution of undercooled FeCoNiCuSn high entropy alloy, Material science and Engineering A, 777 (2020) 139022, https://doi.org/10.1016/j.msea.2020.139022, (Q1, Impact factor: 6.4)
37. Rahul M R, Sumanta Samal, A. Marshal, V I Nithin Balaji, K. G. Pradeep, Gandham Phanikumar, Nano-sized Cu clusters in deeply undercooled CoCuFeNiTa high entropy alloy, Scripta Materialia, 177 (2020), 58-64, https://doi.org/10.1016/j.scriptamat.2019.10.006, (Q1, Impact factor: 6)
38. Rajeev G.P., Rahul. M. R., Kamaraj M., Srinivasa Rao Bakshi, Microstructure and high-temperature mechanical properties of wire arc additively deposited Stellite 6 alloy using cold metal transfer process, Materialia, 12 (2020) 100724, https://doi.org/10.1016/j.mtla.2020.100724, (Q2, Impact factor: 3.4)
39. Reliance Jain, Avi Jain, Rahul M R, Ashok Kumar, Mrigendra Dubey, Rama Krushna Sabat, Sumanta Samal, Gandham Phanikumar, Development of ultrahigh strength novel Co-Cr-Fe-Ni-Zr quasi-peritectic high entropy alloy by an integrated approach using experiment and simulation, Materialia, 2020, 100896, https://doi.org/10.1016/j.mtla.2020.100896, (Q2, Impact factor: 3.4)
40. Jinu Kurian, Rahul M R, J. Arout Chelvane, A. V. Morozkin, A. K. Nigam, Gandham Phanikumar and R. Nirmala, Enhanced Magnetocaloric effect in Undercooled  Rare earth intermetallic compounds RNi (R = Gd, Ho and Er), Journal of Magnetism and Magnetic Materials, 499 (2020) 166302, https://doi.org/10.1016/j.jmmm.2019.166302, (Q2, Impact factor: 2.7)
41. Rahul M R, Sumanta Samal, Gandham Phanikumar, Metastable microstructures in the solidification of undercooled high entropy alloys, Journal of Alloys and Compounds, 821 (2020),  153488, https://doi.org/10.1016/j.jallcom.2019.153488, (Q1, Impact factor: 6.2)
42. Reliance Jain, Rahul M R, Sumanta Samal, Vinod Kumar, Gandham Phanikumar, Hot workability of Co-Fe-Mn-Ni-Ti eutectic high entropy alloys, Journal of Alloys and Compounds, 822 (2020), 153609, https://doi.org/10.1016/j.jallcom.2019.153609, (Q1, Impact factor: 6.2)
43. Rahul M R, G. Phanikumar, Design of a Seven-Component Eutectic High-Entropy Alloy, Metallurgical and Materials Transactions A, 50 (2019), 2594-2598, https://doi.org/10.1007/s11661-019-05210-3, (Q1, Impact factor: 2.8)
44. Rahul M R, S. Samal, G. Phanikumar, Effect of niobium addition in FeCoNiCuNbx high-entropy alloys, Journal of Materials Research, 34 (2019), 700–708. https://doi.org/10.1557/jmr.2019.36, (Q3, Impact factor: 3)
45. Rahul M R, S. Samal, G. Phanikumar, Hot Deformation Behavior and Microstructural Characterization of CoCrFeNiNb0.45 Eutectic High Entropy Alloy, Materials Performance and Characterization, 8 (2019) 1062-1075, DOI: 10.1520/MPC20190014, (Q4, Impact factor: 1.1)
46. Rahul M R, G Phanikumar, Experimental and simulation studies of solidification behaviour in undercooled CuCoNi equiatomic medium entropy alloy, European Physical Journal (EPJ- Special Topics), 229 (2020) 145-155, https://doi.org/10.1140/epjst/e2019-900111-5, (Q2, Impact factor: 2.8)
47. R. Sonkusare, A. Swain, Rahul M R, S. Samal, N.P. Gurao, K. Biswas, et al., Establishing processing-microstructure-property paradigm in complex concentrated equiatomic CoCuFeMnNi alloy, Materials Science and Engineering A, 759 (2019), 415-429, https://doi.org/10.1016/j.msea.2019.04.096, (Q1, Impact factor: 6.4)
48. Rahul M R, S. Samal, S. Venugopal, G. Phanikumar, Experimental and finite element simulation studies on hot deformation behaviour of AlCoCrFeNi2.1 eutectic high entropy alloy, Journal of Alloys and Compounds, 749 (2018), 1115–1127, https://doi.org/10.1016/j.jallcom.2018.03.262, (Q1, Impact factor: 6.2)
49. R. Jain, Rahul M R, S. Jain, S. Samal, V. Kumar, Phase Evolution and Mechanical Behaviour of Co–Fe–Mn–Ni–Ti Eutectic High Entropy Alloys, Transactions of the Indian Institute of Metals, 71 (2018) 2795–2799, https://doi.org/10.1007/s12666-018-1437-2, (Q2, Impact factor: 1.6)
50. S. Jain, R. Jain, Rahul M R, S. Samal, V. Kumar, Phase Equilibria and Mechanical Properties in Multicomponent Al–Ni–X (X = Fe, Cr) Alloys, Transactions of the Indian Institute of Metals, 71 (2018) 2819–2825, https://doi.org/10.1007/s12666-018-1420-y, (Q2, Impact factor: 1.6)
51. Sumanta Samal, Rahul M R, Ravi Sankar Kottada and Gandham Phanikumar., Hot deformation behaviour and processing map of Co-Cu-Fe-Ni-Ti eutectic high entropy alloy, Materials Science and Engineering A, 664 (2016), 227-235, https://doi.org/10.1016/j.msea.2016.04.006, (Q1, Impact factor: 6.4)
52. Rahul M R and Phanikumar, G., Correlation of Microstructure With HAZ Welding Cycles Simulated in Ti-15-3 Alloy Using Gleeble® 3800 and SYSWELD®, Materials Performance and Characterization, 4  (2015), 381-398, doi:10.1520/MPC20140065, (Q4, Impact factor: 1.1)

1. Garima Jain, Avadhut Sardeshmukh, Gerald Tennyson, Shalini Koneru, Rahul M R, Microstructure modeling of deformed alloys using contrastive conditional generative adversarial networks, AI for Accelerated Materials Design-NeurIPS 2024
2. Rahul M R, Sumanta Samal, Gandham Phanikumar, Undercooling studies and growth velocity measurements on multi-component FeCuNi{X} alloys. Solidification and Gravity VII, Edited by: A. Roósz, Zs. Veres, M. Svéda, G. Karacs, Hungarian Academy of Sciences – University of Miskolc, Materials Science Research Group (2018) pages 250-254 ISBN: 978-963-508-889-8
3. Rahul M R, Reliance Jain, Sumanta Samal, Gandham Phanikumar, Microstructure evolution and mechanical properties of Co-Fe-Ni-Ti-V eutectic high entropy alloy, Solidification and Gravity VII, Edited by: A. Roósz, Zs. Veres, M. Svéda, G. Karacs, Hungarian Academy of Sciences - University of Miskolc, Materials Science Research Group (2018) pages 313-318. ISBN: 978-963-508-889-8

Invited talks 

1. Title: ICME and Microstructure Informatics framework for the development of multicomponent alloys, THERMEC 2025 (July 30 to June 4, 2025), Tours, France
2. Title: Fundamentals of Microstructure Simulation and Computational Alloy Design for Additive Manufacturing, FDP on Current Trends in Metal Additive Manufacturing organised by Department of Mechanical Engineering, IIT(ISM) Dhanbad and Malaviya Mission Teacher Training Programme (MMTTP), 7th to 18th July 2025.
3. Title: ICME and Physical Simulation-Based Framework for Design of Materials for Additive Manufacturing, FDP on Current Trends in Metal Additive Manufacturing organised by Department of Mechanical Engineering, IIT(ISM) Dhanbad and Malaviya Mission Teacher Training Programme (MMTTP), 7th to 18th July 2025.
4. Title: ICME and Microstructure Informatics framework for the alloy design at the International Conference on Materials for Energy, Environment, and Healthcare, December 20th and 21st, 2024, at the Department of Materials Science and Engineering, National Institute of Technology Calicut.
5. Title: ICME framework for the design and development of new materials, at the  Five-Day Workshop on “Computational Materials Engineering” organised by MNIT Jaipur on 22 - 27 January 2024.
6. Title: ICME and physical simulation approach for manufacturing process optimisation, at the Five-Day Workshop on “Computational Materials Engineering”, organized by MNIT Jaipur on 22 - 27 January 2024.
7. Title: Microstructure simulation using phase field method at the  Five-Day Workshop on “Computational Materials Engineering” organized by MNIT Jaipur on 22 - 27 January 2024.
8. Title: Machine learning enabled phase prediction in HEAs at the   Five-Day Workshop on “Computational Materials Engineering”, organized by MNIT Jaipur on 22 - 27 January 2024.
9. Title: ML-based alloy design and development, at the workshop on AI &ML applications with Thermo-Calc software, organized by Thermo-Calc on 26th January 2024.
10. Title: ICME + Machine Learning based framework for understanding solidification behaviour of high entropy alloys,  at the International Conference on Solidification Science and Processing (ICSSP 2023), organized by IIT Jodhpur and IIT Hyderabad on December 11‐14, 2023.
11. Title: ICME and machine learning framework for the design and development of materials at the five-day Winter School on ICME at IIT Gandhinagar on December 8th, 2022
12. Title: Microstructure simulation by integrating Thermo-Calc and Micress on five day Winter School on ICME at IIT Gandhinagar on December 8th, 2022
13. Title: ICME and machine learning framework for the design and development of new materials in the workshop on “Computational Techniques in Metallurgical and Materials Engineering (CTiMME-2022)” Organized by: Department of Metallurgical & Materials Engineering, NIT Srinagar, 17-21 October 2022
14. Title: ICME and physical simulation approach for manufacturing process optimization in the workshop on “Computational Techniques in Metallurgical and Materials Engineering (CTiMME-2022)” Organized by: Department of Metallurgical & Materials Engineering, NIT Srinagar, 17-21 October 2022
15. Title: Microstructure simulation during welding and casting processes in the workshop on “Computational Techniques in Metallurgical and Materials Engineering (CTiMME-2022)” Organized by: Department of Metallurgical & Materials Engineering, NIT Srinagar, 17-21 October 2022
16. Title: Materials Characterization using Thermo-mechanical simulator on the STC (QIP) on "Materials Characterization Techniques", 22-27 March 2021, conducted by Dept. of MEMS, IIT Indore
17. Title: Accelerated design of materials using ICME and Machine Learning conducted by the Department of Fuel Minerals and Metallurgical Engineering (27-28 February 2021), sponsored by TEQIP III, IIT (ISM) Dhanbad
18. Title: Design and development of multicomponent alloys using ICME and ML framework conducted by BARC to initiate collaborative work on HEA design and development. Date (17/07/2021)
19. Title: Welding and additive manufacturing studies of Advanced material using experimental and simulation methods on the STC of "Advanced Materials for structural applications conducted by the Department of Metallurgy Engineering and Materials Science, IIT Indore. Date: 29 /09/ 2020 to 04/10/2020.
20. Title: ICME approach for design and development of high temperature materials conducted by the Society of Automotive Engineers (SAE, TKMCE), Kerala. Date: (05/09/2020)

21. Title:Design and development of high entropy alloys using solidification studies, IWHEM 2020, IIT Kanpur, March 7-8, 2020.

     

• Contributed talk (>35, selected list)

1. Amit Bundela, Rahul M R, “Machine Learning-enabled Framework for the Screening of Hydrogen Storage Materials”, Feb 27 – Mar 3, 2022, TMS 2022 (virtual), California USA.  
2. Gandham Phanikumar, Dasari Mohan, M R Rahul, V.S. Hariharan, “High Performance Computing for Microstructure prediction via Process Parametric Space”, NMD ATM 2022
3. Technical section chair for International Conference on Advances in Mechanical and Aerospace Engineering, TKM college of Engineering Kerala, India, 16-18 December 2021.
4. Shambhu Kushwaha, Agilan M, Rahul M R, G Phanikumar, “Integrated experimental and simulation study to modify the weld thermal cycle in Inconel 718 welding”,  13-15 November 2021 (virtual), NMD ATM 2021.
5. Rahul Kumar, Ashok K, Rahul M R, “Simulation guided grain refinement studies on as-cast multicomponent alloy”, 13-15 November 2021 (virtual), NMD ATM 2021.
6. Rahul M R,  Naishalkumar Shah, Gandham Phanikumar, Accelerated design of Eutectic High Entropy Alloys by integrating experimental and computer simulations, IWHEM 2020, IIT Kanpur, March 7-8, 2020
7. Rahul M R and Gandham Phanikumar, Effect of Sn addition on microstructural evolution and growth velocity of undercooled FeCoNiCuSnX (X= 0.5 & 5) high entropy alloy, International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM), July 8-12, 2019, Chennai, (Best paper award)
8. Rahul M R, Sumanta Samal, G Phanikumar, Metastable microstructures in solidification of undercooled high entropy alloys, International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM), July 8-12, 2019, Chennai
9. Reliance Jain, Rahul M R, Sumanta Samal, Vinod Kumar, Gandham Phanikumar, Hot workability of Co-Fe-Mn-Ni-Tieutectic high entropy alloys, International Symposium on Metastable, Amorphous and Nanostructured Materials (ISMANAM), July 8-12, 2019, Chennai
10. Rahul M R and Gandham Phanikumar, Solidification, growth velocity and micromechanical properties of undercooled Fe-Co-Cu alloy,  in the “7th International Conference on Solidification Science and Processing (ICSSP-2018)” 19/11/2018 - 22/11/2018 at Trivandrum, Kerala, India. (Best paper award)
11. Rahul M R and Gandham Phanikumar, Growth rate and segregation studies in undercooled high entropy alloys, in the “7th International Conference on Solidification Science and Processing (ICSSP-2018)” 19/11/2018 - 22/11/2018 at Trivandrum, Kerala, India
12. Reliance Jain, Rahul M R, Sandeep Jain, Sumanta Samal, Vinod Kumar, Phase evolution and mechanical behaviour of Co-Fe-Mn-Ni-Ti eutectic high entropy alloys, 7th International Conference on Solidification Science and Processing (ICSSP-2018)” 19/11/2018 - 22/11/2018 at Trivandrum, Kerala, India
13. Sandeep Jain, Reliance Jain, Rahul M R, Sumanta Samal, Vinod Kumar, Phase equilibria and mechanical properties in multicomponent Al-Ni-X (X= Fe, Cr) alloys, 7th International Conference on Solidification Science and Processing (ICSSP-2018)” 19/11/2018 - 22/11/2018 at Trivandrum, Kerala, India
14. Rahul M R, Sumanta Samal, Gandham Phanikumar, Undercooling studies and growth velocity measurements on multi-component FeCuNi{X} alloys, in the “7thInternational Conference on Solidification and Gravity (SG’18)” 03/09/2018 -06/09/2018 at Miskolc - Lillafüred, Hungary.
15. Rahul M R, Reliance Jain, Sumanta Samal, Gandham Phanikumar, Microstructure evolution and mechanical properties of Co-Fe-Ni-Ti-V eutectic high entropy alloy, in the “7th International Conference on Solidification and Gravity (SG’18)” 03/09/2018 - 06/09/2018 at Miskolc - Lillafüred, Hungary
16. Rahul M R, Sumanta Samal and Gandham Phanikumar, Phase evolution and kinetics in undercooled FeCoNiCuX0.5 alloys, The 16th International Conference on Rapidly Quenched and Metastable Materials (RQ16), 27 August 2017 - 01 September 2017, Leoben, Austria
17. Rahul M R, Sumanta Samal and G.Phanikumar, Experimental and FEM simulation of hot deformation behaviour of multicomponent Fe-Co-Ni-Cr-Al eutectic high entropy alloys, National Gleeble Users Conference, IIT Bombay, 2017
18. Rahul M R, S. Samal, G.Phanikumar, Phase selection kinetics in undercooled FeCoNiCuX0.5 alloys, International Workshop on High Entropy Materials (IWHEM-2017, School of Engineering Sciences and Technology, University of Hyderabad, March 11-12, 2017
19. Rahul M R, S. Samal,  G.Phanikumar, Hot Deformation Behaviour and Processing Map of Multicomponent  Fe-Co-Ni-Cr-Al Eutectic High Entropy Alloy, International Workshop on High Entropy Materials (IWHEM-2017, School of Engineering Sciences and Technology, University of Hyderabad, ), March 11-12, 2017
20. Rahul M R, S. Samal, G.Phanikumar, Development of Novel Fe-Co-Ni-Cu-Nb Magnetic High Entropy Alloy, International Symposium for Research Scholars (ISRS), Department of Metallurgical and Materials Engineering, IIT Madras,2016
21. Rahul M R and G. Phanikumar,  HAZ simulation and Deformation studies in Ti-15-3 alloy using Gleeble, National Conference on Thermomechanical processing of steels using Gleeble Simulation and 5th Gleeble User Workshop India (GUWI-2015), 6th – 7th August 2015 at CSIR-NML, Jamshedpur-831007, India
22. S. Samal, Rahul M R, G. Phanikumar, Hot Deformation Behaviour and Processing Map of Multicomponent Co-Cu-Fe-Ni-Ti High Entropy Alloy, National Conference on Thermomechanical processing of steels using Gleeble Simulation and 5th Gleeble User Workshop India (GUWI-2015), 6th – 7th August 2015 at CSIR-NML, Jamshedpur-831007, India.
23. Rahul M R and G.Phanikumar, Correlation of HAZ microstructure and mechanical properties of Ti-15-3 alloy simulated in Gleeble, International Symposium for Research Scholars (ISRS), Department of Metallurgical and Materials Engineering, IIT Madras,2014
24. Rahul M R and G.Phanikumar, HAZ Simulation and characterisation of Ti-15-3 alloy, National Gleeble Users Conference, IIT Madras, 2014

IIT Dhanbad

• Organised (Convenor) Webinar on "Metallurgy and Material Science in the Era of Artificial Intelligence (MMSEAI 2021)", Department of Fuel Minerals and Metallurgical Engineering (27-28 February 2021), sponsored by TEQIP III, IIT (ISM) Dhanbad
• Coordinated the Expert lecture series of “Materials Informatics” by Prof. Krishna Rajan, Erich Bloch Chair, Empire Innovation Professor, Department of Materials Design and Innovation, University at Buffalo, Date (25-29/10/2021), conducted by IIT (ISM) Dhanbad
• Co-Coordinator: Faculty Development Programme on Surface Engineering: Principles, Techniques, and Characterisation sponsored by Malaviya Mission Teacher Training Programme (MMTTP), June 22 to 27, 2025
• Coordinator: Faculty Development Programme on Alloy Design and Processing: Experimental, Simulation and Machine Learning Approaches sponsored by Malaviya Mission Teacher Training Programme (MMTTP), November 21 to 26, 2025