Alankar Lab

IMaGen

Prof. Alankar Alankar

Professor
Department of Mechanical Engineering
Affiliate Faculty Member: Center for Machine Intelligence and Data Science (CMInDS)
IIT Bombay, Powai, Mumbai, India

Research Profile

Professor Alankar's laboratory is all about Multiscale Mechanics and Materials Informatics - our bit to the global Integrated Computational Materials Engineering (ICME) and Materials Genome effort. We develop mathematical frameworks and in-house computer codes for simulating and understanding material behaviour and their failure when exposed to various mechanical, chemical and other environment e.g. radiation.

Application of Machine Learning (ML) and Artificial Intelligence (AI) has been an integral part of this effort wherein we use open-access datasets, generate datasets and employ these for discovery and inverse design of novel materials for various applications. We have also employed ML and AI for converting our conventional methods into hybrid and multi-modal frameworks that have shown enhanced computational and functional performance. We employ engineering informatics for understanding process-structure-property-performance relations. This knowledge has been put together with the state-of-the-art generative AI to give Digital Manufacturing tools for manufacturing process optimization and development of larger systems e.g. Digital Twins.

Keywords: Crystal Plasticity; Materials Informatics; SciML; Computational Mechanics

Research Results Showcase

Crystal Plasticity Simulation
Crystal Plasticity Code Development Deformation heterogeity in a polycrystal simulated using an in-house FFT-based crystal plasticity code.
Hydrogen embrittlement modeling
Phase Field Fracture Modeling Crack propoagation modeling phase field framework implemented in DEAL.II FE.
Machine Learning for Materials Informatics and Mechanics
Materials Informatics, Physics-Informed Machine Learning Material discovery and design using conventional, machine learning, AI and hybrid approach.
Application of AI for Manufacturing
AI for Manufacturing LLMs for understanding process-structure-property-performance relations. Development of Digital Twin.

Education

2006 - 2010
Ph.D. in Mechanical Engineering
Thesis: Development of a 3D microstructure sensitive crystal plasticity model for aluminum
Thesis advisor: Prof. David P. Field
Washington State University (WSU), Pullman, WA, USA
2004 - 2006
MASc in Materials Engineering
The University of British Columbia (UBC), Vancouver, Canada
Recipient of John S. Nadeau Memorial Scholarship
1998 - 2002
B. Tech. in Metallurgical Engineering
Indian Institute of Technology (IIT), Roorkee, India

Professional Appointments

Feb 2024 - Present
Professor
Department of Mechanical Engineering, IIT Bombay, India
Jul 2019 - Feb 2024
Associate Professor
Department of Mechanical Engineering, IIT Bombay, India
Dec 2015 - Jul 2019
Assistant Professor
Department of Mechanical Engineering, IIT Bombay, India
2014 - 2015
Coating Architect - Research & Development
Modumetal Inc., Seattle, USA
2011 - 2014
Postdoctoral Research Associate
Mentors: Dr. Ricardo Lebensohn, Dr. Alfredo Caro, Dr. Carlos Tome
MST-8, Los Alamos National Laboratory (LANL), Los Alamos, NM, USA
2010 - 2011
Postdoctoral Scientist
Mentors: Dr. Philip Eisenlohr, Dr. Dierk Raabe
Max-Planck-Institut für Eisenforschung GmbH (MPIE), Düsseldorf, Germany

Manuscripts Under Review / Preprints

80. Maheshkumar Panda, Kishor Yerol Damodaran, Ganeshrao Kudithi, Shashank Sharma, Alankar Alankar,, Additive Manufacturing Guidance and Reasoning Unit (AMGuRU) - A Physics-aware Large Language Model Framework.
79. Aayush Trivedi, A. Alankar, A crystal plasticity phase-field model for fracture and fatigue in Ti–6Al–4V
78. Navdeep Minhas, A. Alankar, Engineering the Interfaces for Al-X Bimetallic Joints: Insights from Solid-State Welding and Prospects for Additive Manufacturing
77. Navdeep Minhas, A. Alankar, Interfacial Evolution and Bonding Mechanisms in Dissimilar Friction Stir Welded Joints of L-PBF SS316L and AlSi10Mg alloys
76. Meghraj Prajapat, A. Alankar, Generative diffusion modeling protocols for improving the Kikuchi pat- tern indexing in electron back-scatter diffraction.
75. SK Shaw, S Chatterjee, A Alankar, A Bhowmik, Studying Creep-Fatigue interaction of Nickel-Based Superalloys using Crystal Plasticity and Entropy-Based life prediction model, arXiv preprint: arXiv:2605.23342
74. Ganeshrao Kudithi, Tanay Biswas, A Alankar, Bayesian optimization protocols for identification of material parameters in plasticity model
73. Sunil Rawat, Sagar Chandra, A Alankar, Anisotropy of critical energy release rate in fracture of Ti: an atomistic analysis

Selected Journal Publications

72. Siddharth Verma, A. Alankar, Rapid Generative Discovery of High-Energy Molecules in Low Data Regimes Using Minimal Computational Resources, Propellants, Explosives, Pyrotechnics, Accepted, 2026. Link to preprint.
71. Kushagra Tiwari, R.K. Singh Raman, Mahmoud Mostafavi, Rhys Jones, A. Alankar, A multiscale modeling framework for correlating mesoscale and macroscale fatigue behavior in additive manufactured Ti- 6Al-4V alloy, Accepted, Journal of Materials Science, 2026, 1-21.
70. S Chandra, S Rawat, H Hemani, A Alankar, A Syed, NN Kumar, S Sharma, Analysis of non-Schmid effects in a Ni-based superalloy, International Journal of Plasticity, 2026, p. 104683.
69. S Ahmad, A. Alankar, V Tathavadkar, K Narasimhan, Experimental and Constitutive Assessment of Tensile Flow Behavior of AA5083 Alloy with Microstructural Evolution at Warm Temperatures, Materials Science and Technology, 42, 2026, p. 364.
68. Aayush Trivedi, Jalaj Kumar, Mehdi Salem, A. Alankar, A crystal plasticity approach for understanding the effect of microstructure and crystallographic texture on mechanisms of low cycle fatigue, Computational Materials Science, 2026, 266, 114544.
67. Pragyan Goswami, R. K. Singh Raman, A. Alankar, Machine Learning Strategies to Circumvent Variabil- ities in Chemical Vapour-Deposited Graphene Coatings for Remarkable Corrosion Resistance of Metals,Small Structures, 2026, e202500720.
66. Navdeep Minhas, Harpal and A. Alankar, Enhancing mechanical properties via nano-crystallization in additive manufactured AlSi10Mg joints via FSW with Cu-interlayer and heat treatment, Science and Technology of Welding and Joining, 2026, 13621718251411614.
65. S. Chandra, A. Alankar, N. Naveen Kumar, S. Sharma, Mahendra, K. Samal, V. M. Chavan, Atomistically- driven crystal plasticity modeling of a Ni-based superalloy, Computational Materials Science, 2026, 261, 114261
64. Aayush Trivedi, Kushagra Tiwari, Jalaj Kumar, Mehdi Salem, A. Alankar, A crystal plasticity and data- driven approach for analyzing the effect of porosity and surface roughness on fatigue behavior, International Journal of Fatigue, 2025, 109440.
63. Bharath M. N., R. K. Singh Raman, A. Alankar, The role of protein content in body fluids in magnesium alloy bioimplant degradation: A machine learning approach, Progress in Materials Science, 2025. 101636.
62. M. Thombre, C. Anitescu, BVSS Bharadwaja, Y. Wang, T. Rabczuk, A. Alankar, Energy-based methods for solving forward and inverse linear elasticity problems in 2D structures, Computers and Structures, 2025, 316, 107899.
61. K. Sen, S. Gupta, A. Raj, A. Alankar, Graph Residual based Method for Molecular Property Prediction, Chemometrics and Intelligent Laboratory Systems, 2025, 265, 105471
60. S. Ansari, A. Acharya, R. Arora, and A. Alankar, An Experimentally Informed Grain Boundary Model in 2–D: Addressing Triple Junctions, Mobility and Invariance of Misorientation. Acta Materialia, 2025, 121163.
59. K. Tiwari, A. Trivedi, G. Bharat Reddy, B. K. Kumawat, A. Bhardwaj, R.K. Singh Raman, R. Jones, A. Alankar, Crystal plasticity modeling and data–driven approach for fatigue life estimation of additively manufactured Ti-6Al-4V alloy, International Journal of Plasticity, 2025, 189, 104319.
58. P. Kishore, A. Mondal; A. Trivedi; P. Singh; A. Alankar, A microstructure sensitive machine learning- based approach for predicting fatigue life of additively manufactured parts. International Journal of Fatigue, 2025, p. 108724.
57. N. Gupta, R. Kumar, A. Alankar, Machine Learning based Discovery of Novel Oxide and Halide Per- ovskites for Energy Storage, Journal of Alloys and Compounds, 2024, p. 177470.
56. S Ahmad, A. Alankar, V Tathavadkar, K Narasimhan, Comparative assessment of warm formability in Al–Mg alloys through limiting dome height experiments and finite element simulation studies, Multiscale and Multidisciplinary Modeling, Experiments and Design 8 (1), 12, 2024.
55. R. Chatterjee, A. Trivedi, S.V.S. Narayana Murty, A. Alankar, Crystal Plasticity-Phase–Field based Analyses of Interfacial Microstructural Evolution during Dynamic Recrystallization in a Dual Phase Ti- tanium Alloy. https://dx.doi.org/10.2139/ssrn.4671946, International Journal of Plasticity, 2024, 181, 104087.
54. K Tiwari, A. Alankar, RK Singh Raman, R Jones, USAF Characteristic K Approach: A Robust Tool for Predicting Fatigue Crack Growth under Various Underload Spectra, Materials, 2024, 17 (13), 3303.
53. BVSS Bharadwaja, A. Alankar, Finite element implementation of Field Crack Mechanics for brittle and ductile fracture. Theoretical and Applied Fracture Mechanics, https://dx.doi.org/10.2139/ssrn.46 71946, 2024, 131 (June), 104434.
52. S. Chandra, A. Alankar, M. K. Samal; V. M. Chavan, Tension-compression asymmetry in Ni/Ni3Al interfaces: An atomistic investigation, Materials Letter, 2024, p. 136172.
51. S. Ansari, A. Acharya, A. Alankar, An experimentally informed continuum grain boundary model, Mathematics and Mechanics of Solids, 2024, 10812865231223921. https://doi.org/10.1177/10812865 231223921
50. A. Mishra, M. Dinachandra, A. Alankar, Crystal plasticity analyses around grain boundaries using a dislocation dynamics finite element model, Journal of Multiscale Modeling, 2023, 15 (02), 2350014. https://doi.org/10.1142/S1756973723500142
49. S. Ahmed, A. Alankar, V. Tathavadkar, K. Narasimhan, Investigation of Tensile Flow Behavior of Al-Mg Alloy at Warm Temperature: Constitutive Modelling and Microstructural Evolution, Metals and Materials International, 2024, p. 1.
48. P. Kishore, T. Singh, R. Aher, A. Alankar, Workflow for fatigue life prediction of additive manufactured complex designs from powder bed fusion of Ti-6Al-4V, International Journal of Fatigue, 2023, p. 107941.
47. G. S. Thoppil, J. F. Nie, A. Alankar, Bayesian approach for inferrable machine learning models of Process–Structure–Property Linkages in Complex Concentrated Alloys, Journal of Alloys and Compounds, 2023, p. 171595.
46. S. Rawat, A. Alankar, Atomistic Analyses of Fracture in α, β and Lamellar α−β Ti Single Crystals, Journal of the Mechanics and Physics of Solids, 2023, p. 1053132023.
45. R. Chatterjee, SVS Narayan Murty, A. Alankar, Evaluating the influence of deformation variables on dynamic recrystallization behavior using a crystal plasticity model, Modeling and Simulation in Materials Science and Engineering, 2023, p. 045002.
44. S. Chandra, A. Alankar, M. K. Samal, V. M. Chavan, Insights into fracture behavior of Ni-based super- alloy single crystals: An atomistic investigation, Journal of Alloys and Compounds, 2023, p. 169938.
43. G. S. Thoppil, J. F. Nie, A. Alankar, Hierarchical Machine Learning Based Structure–property Cor- relations for As-cast Complex Concentrated Alloys (CCAs), Computational Materials Science, 2023, p. 111855.
42. B. V. S. S. Bharadwaja, M. A. Nabian, B. Sharma, S. Choudhry, A. Alankar, Physics–Informed Machine Learning and Uncertainity Quantification for Mechanics of Heterogeneous Materials, Integrating Materials and Manufacturing Innovations, 2022, p. 1.
41. S. K. Maurya, S. Chandra, J. F. Nie, A. Alankar, Crack Mediated Dislocation Activities in Al/Ti Nanolayered Composites: An Atomistic Study, Modelling and Simulation in Materials Science and Engi- neering, 2022, p. 085005.
40. D. Peng, R. Jones, A. S.M. Ang, A. Michelson, V. Champagne, A. Birt, S. Pinches, S. Kundu, A. Alankar, R.K. Singh Raman, Computing the durability of WAAM 18Ni 250 Maraging steel specimens, Fatigue and Fracture of Engineering Materials and Structures, 2022, p. 3535.
39. H. Hrishikesh, A. Alankar, On the interplay of elastic anisotropy and fracture toughness anisotropy in fracture of single and multiphase polycrystals, Engineering Fracture Mechanics, 2022, p. 108696.
38. G. S. Thoppil, A. Alankar, Formation and stability of oxide perovskites, Predicting the formation and stability of oxide perovskites by extracting underlying mechanisms using machine learning, Computational Materials Science, 2022, 211, p. 111506
37. R. Dadhich, A. Alankar, A modular spectral solver for crystal plasticity, International Journal of Plas- ticity, 2022, p. 103328.
36. K. Gururaj, Mainak Saha, Sumit Kumar Maurya, Rajat Nama, A. Alankar, M. B. Ponnuchamy, K. G. Pradeep, On the correlative microscopy analyses of nano-twinned domains in 2 mol % zirconia alloyed yttrium tantalate thermal barrier material, Scripta Materialia, 2022, p. 114584.
35. U. Tewary, D. Paul, H. K. Mehtani, S. Bhagavath, A. Alankar, G. Mohapatra, S. S. Sahay, A. S. Panwar, S. Karagadde, I. Samajdar, The Origin of Graphite Morphology in Cast Iron, Acta Materialia, 2022, p. 117660.
34. M. Dinachandra, A. Alankar, Adaptive finite element modeling of phase-field fracture driven by hydrogen embrittlement, Computer Methods in Applied Mechanics and Engineering, 2022, p. 114509.
33. S. Chandra, A. Alankar, N. N. Kumar, M. K. Samal, V. M. Chavan, An atomistic analysis of the effect of grain boundary and the associated deformation mechanisms during plain strain compression of a Cu bicrystal, Computational Materials Science, 2022, p. 110953.
32. M. Dinachandra, A. Alankar, Dynamic Analysis of Functionally Graded Microbars based on Strain Gradient Theory using Isogeometric Analysis, Composite Structures, 2021, p. 114923.
31. R. Jones, D. Peng, C. Tang, R. Singh, S. Kundu, N. Matthews, A. Alankar, Computing the Fatigue Life of Cold Spray Repairs to Simulated Corrosion Damage, Materials, 2021, p. 4451.
30. P. Seth, J. Jha, A. Alankar, S. Mishra, α-case formation in Ti-6Al-4V in a different oxidizing environment and its effect on tensile and fatigue crack growth behavior, Oxidation of Metals, 2021, p. 1.
29. A. Bhutada, S. Kumar, D. Gunasegaram, A. Alankar, Machine Learning based methods for obtaining Correlations between Microstructures and Thermal Stresses, Metals, 2021, p. 1167.
28. V. Revi, S. Kasodariya, A. Talapatra, G. Pilania, A. Alankar, Machine Learning Elastic Constants of Multi-Component Alloys, Computational Materials Science, 2021, p. 110671.
27. E. Martinez, A. Alankar, A. Caro, T. Jourdan, Relative relevance of mobility and driving force on edge dislocation climb by the vacancy mechanism, Computational Materials Science, 2021, p. 110378.
26. S. K. Maurya, J. F. Nie, and A. Alankar, Atomistic analyses of HCP-FCC transformation and reorien- tation of Ti in Al-Ti multilayers, Computational Materials Science, 2021, p. 110329.
25. U. Tewary, D. Mukherjee, A. Alankar, G. Mohapatra, S. Sahay, I. Samajdar, and S. Karagadde, An Integrated Multi-Scale Model for Graphite Growth Mechanism in Industrial Cast Iron, Metallurgical and Materials Transactions B., 2021, p. 1 - 19.
24. M. Dinachandra and A. Alankar, A phase-field study of crack propagation and branching in functionally graded materials using explicit dynamics, Theoretical and Applied Fracture Mechanics, 109(2020), p. 102681.
23. S. Deshmukh, A. Borkar, A. Alankar, S. Krishnan, S. Ramamoorthy, Design of Periodic Poroelastic Structures for Acoustic Applications, Applied Acoustics, 169(2020), p. 107455.
22. A. Alone, R. Chatterjee and A. Alankar, A Comparative Study of the effect of Random and Preferred Crystallographic Orientations on DRX Behavior through a Cellular Automata Model, Materials Today Communications, 25(2020), p. 101200.
21. S. Kundu, R. Jones, D. Peng, N. Matthews, A. Alankar and R. K. Singh, Studies in modeling the effect of residual stress on crack growth in wire+arc additively manufactured, friction stir welded and LSP parts, and cold spray repairs, Materials, 13(2020), p. 1341.
20. A. Beniwal, R. Dadhich, A. Alankar, Deep Learning Based Predictive Modeling for Structure-Property Linkages, Materialia, 8(2019), p. 100435.
19. R. Chatterjee, SVS Narayanmurty, A. Alankar, Dynamic Recrystallization in Titanium Alloys : A Comprehensive Review, Materials Performance and Characterization, 9(2019), Materials Performance and Characterization, p. 1-42.
18. T. Gopinath, S. Kundu, V. Patel, A. Alankar, Diffusion Bonding of Ti6Al4V and SS 304 with Nb Interlayer, Materials Performance and Characterization, 8(2019), p. 1008.
17. C. Gupta, J. Jha, B. Jayabalan, R. Gujrati, A. Alankar, and S. Mishra, Correlating hot deformation parameters with microstructure evolution during thermomechanical processing of Inconel 718 alloy, Met- allurgical and Materials Transactions A, 50(2019), p. 4714–4731.
16. S. Dhala, S. Mishra, A. Tewari, A. Alankar, Analyses of orientation dependent nanoindentation response of pseudoelastic NiTi alloy using a crystal plasticity model, Mechanics of Materials, 135 (2019), p. 1.
15. A. Mishra and A. Alankar, Revisiting dislocation reactions and their role in uniaxial deformation of copper single crystal micro-pillars, Modelling and Simulation in Materials Science and Engineering, 27(5), 2019, p. 055010.
14. A. Soni and A. Alankar, Analyses of Constitutive Behaviour of As-Cast Aluminum Alloys AA3104, AA5182 and AA6111 during DC casting using Physically Based Models, Journal of Engineering Materials and Technology, 141 (3) (2019), p. 034502.
13. R. Gujrati, C. Gupta, J. S. Jha, S. Mishra, A. Alankar, Understanding activation energy of dynamic recrystallization in Inconel 718, Materials Science and Engineering A, 744 (2019), p. 638.-651.
12. A. Taibani, V. Phalke, A. Alankar, M. Visaria, S. Krishnan, Analysis of temperature swing thermal insulation for performance improvement of diesel engines, SAE International Journal of Engines, 12, (2019), p. 03-12-02-0009.
11. S. Dhala, S. Mishra, A. Tewari, A. Alankar, Modeling of finite deformation of pseudoelastic NiTi shape memory alloy considering various inelasticity mechanisms, International Journal of Plasticity, 115, (2019), p. 216.
10. A. Lodh, U. Tewary, R. P. Singh, T. N. Tak, A. Prakash, A. Alankar, P. J. Guruprasad, I. Samajdar, Orientation-Dependent Developments in Misorientation and Residual Stress in Rolled Aluminum: The Defining Role of Dislocation Interactions, Metallurgical and Materials Transactions A, 49A (2018), p. 5946.
9. R. Montgomery, C. Tome’, W. Liu, A. Alankar, G. Subramanian, C. Stanek, Use of multiscale zirconium alloy deformation models in nuclear fuel behavior analysis, Journal of Computational Physics, 328 (2017), p. 278.
8. A. Alankar, D.P. Field and D. Raabe, Plastic anisotropy of electro-deposited pure α-iron with sharp crys- tallographic ⟨1 1 1⟩//ND texture in normal direction: Analysis by an explicitly dislocation-based crystal plasticity model, International Journal of Plasticity, 52 (2014), p. 18.
7. A.Alankar, D. P. Field and H. M. Zbib, Explicit incorporation of cross-slip in a dislocation density-based crystal plasticity model, Philosophical Magazine, 92 (2012), p. 3084.
6. R. A. Lebensohn, R. A. Holt, A. Caro, A. Alankar, C. N. Tom`e, Improved constitutive description of single crystal viscoplastic deformation by dislocation climb, Comptes Rendus Mecanique, 340 (2012), p. 289.
5. A. Alankar, I. N. Mastorakos, D. P. Field, H. M. Zbib, Determination of dislocation interaction strengths using discrete dislocation dynamics of curved dislocations, ASME Journal of Engineering Materials and Technology, 134 (2012), p. 021018.
4. A. Alankar, P. Eisenlohr, D. Raabe, Development of a dislocation density based model for α-titanium; Acta Materialia, 59 (2011), p. 7003.
3. D. P. Field and A. Alankar, Observation of Deformation and Lattice Rotation in a Cu Bi-Crystal, Metallurgical and Materials Transactions A, 42 (2011), p. 676.
2. A. Alankar and M. A. Wells, Constitutive behavior of aluminum alloys AA3104, AA5182, and AA6111 at below solidus temperatures during DC-casting, Materials Science and Engineering A, 2010, p. 7812.
1. A. Alankar, I. N. Mastorakos, and D. P. Field, A dislocation density based 3D crystal plasticity model for pure aluminum, Acta Materialia, 57 (2009), p. 5936.

Conference Publications

17. S. Ahmad, V. Tathavadkar, A. Alankar, K. Narasimhan, Experimental and Finite Element-Based Anal- yses of FLCs for AA5052 and AA5083 Alloys, NUMISHEET 2022: Proceedings of the 12th International Conference and Workshop on Numerical Simulation of 3D Sheet Metal Forming Processes, p. 173-183.
16. N. M. Jose, M. K. Samal, P. V. Durgaprasad, A. Alankar, B.K Dutta, Crystal plasticity modelling of neutron irradiation effects on the flow behaviour of neutron irradiated Zircaloy-4, SICE 2020 Proceedings - Structural Integrity Over Multiple Length Scales, 2021, p. 255-265.
15. S. Deshmukh, A. Borkar, A. Alankar, S. Krishnan, S. Ramamoorthy, Towards the design of soft periodic porous structures for acoustic applications, SAPEM Conference Proceedings, 2021.
14. G. Thirunavukarasu, S. Kundu, V. V. Patel, A. Alankar, Analytical Investigation on the Evolution and Growth of β-Ti and Fe-Nb-Based Intermetallics in Diffusion Coupled Joints of Ti6Al4V-Nb-SS, 27(2020), p. 3.
13. S. Ahmad, V. Tathavadkar, A. Alankar, K. Narasimhan, Effect of Mg on flow behavior of Al-Mg alloys and its constitutive modelling using finite element analysis, Light Metals 2020, p. 283.
12. BVSS Bhardwaja, A. Alankar, Formation of GNDs in copper single crystal under pure bending consid- ering planar double slip, Proceedia Structural Integrity, 14 (2019), 612-618.
11. R. Chatterjee, A. Alankar, Crystal Plasticity modeling of dynamic recrystallization in Ti alloys, Proceedia Structural Integrity, 14 (2019), 251-258.
10. A. Mishra, A. Alankar, Identification of Dislocations Reactions and their Role in Uniaxial Deformation of Copper Single Crystals, Proceedia Structural Integrity, 14 (2019), 544-548.
9. R. Dadhich, A. Alankar, Coupled Crystal Plasticity-Phase Field Modeling of Multi-Phase Metals, Pro- ceedia Structural Integrity, 14 (2019), 104-111.
8. V. Phalke, A. Taibani, M. Visaria, S. Krishnan and A. Alankar, Analysis of thermal stresses and strains in Yttria stabilized Zirconia (YSZ) thermal barrier coatings, Fifth International Conference on Computa- tional Methods for Thermal Problems THERMACOMP2018, July 9-11, 2018, Indian Institute of Science, Bangalore, INDIA, N. Massarotti, P. Nithiarasu, Pradip Dutta and C. Ranganyakalu (Eds.)
7. A. Taibani, A. Alankar, M. Visaria, S. Krishnan, Analysis of temperature swing thermal insulation for diesel engines, Proceedings of the 24th National and 2nd International ISHMT-ASTFE Heat and Mass Transfer Conference (IHMTC-2017), December 27-30, 2017, BITS Pilani, Hyderabad, India.
6. S. Dhala, S. Mishra, A. Alankar, Crystal plasticity of shape memory alloy NiTi, Proceedia, 173 (2017), p. 786-792.
5. Z. Leng, D. P. Field, A. Alankar, Dislocation density based crystal plasticity finite element simulation of Al bicrystal with grain boundary effects, MRS Proceedings, 1651 (2014), p. Mrsf13-1651-kk01-02, doi:10.1557/opl.2014.52.
4. Z. Leng, A. Alankar, D. P. Field, N. Allain-Bonasso, F. Wagner, Dislocation density based crystal plasticity finite element model of polycrystalline with grain boundary effect, 2nd World Congress on Integrated Computational Materials Engineering, 2013; John Wiley & Sons, Inc., p. 271 - 276.
3. A. Alankar and D.P. Field, Modeling of deformation microstructure - strain hardening and crystallo- graphic reorientation of crystallites in a columnar polycrystal; Materials Science Forum, 702-703 (2012) p. 196.
2. A. Alankar, I. N. Mastorakos, D. P. Field, Development of a microstructure sensitive crystal plasticity model that tracks dislocation densities, Solid State Phenomena, 160 (2010), p. 57.
1. A. Alankar, I. N. Mastorakos, D. P. Field, Grain interactions and dislocation density evolution during channel die compression of aluminum, Proceedings of TMS 2010 – Light Metals - Aluminum Rolling, p. 579 - 584.

Patents & Editing

Indian Patent Granted
A wear–testing apparatus, Indian Patent No. 482325, Granted on Dec 14, 2023.

Editorial Boards

Selected Invited Lectures & Keynotes

36. Keynote Speaker: ML and AI-based protocols for materials, structures and systems," 20th International Conference on Vibration Engineering & Technology of Machinery (XX VETOMAC 2025), IIT Guwahati, Dec 19, 2025.
35. Invited Panelist: Protocols for materials, structures and systems in the age of AI," 23rd ISME International Conference on Recent Advanced in Mechanical Engineering, LNMIIT, Jaipur, Dec 17, 2025.
34. Academic Seminar: Crystal Plasticity Modeling and Machine Learning Methods for Fatigue Life Estimation," Department of Applied Mechanics, IIT Delhi, May 19, 2025.
33. Keynote Lecture: 3rd International Conference on Advanced Materials and Manufacturing Technology (ICAMMT 2024), MANIT Bhopal, Dec 18, 2024.
32. Inaugural Keynote: ML Driven Accelerated Simulations, Material Design, Automated Database Development - A Step Towards Digital Manufacturing , MANIT Bhopal, Sep 02, 2024.
31. Keynote: ML Driven Accelerated Material Design and Manufacturing, NIT Warangal, Apr 24, 2024.
30. Keynote: Applications of Machine Learning for Innovations in Material Design, GLA University, Mathura (Online),Apr 19, 2024.
29. Keynote: Applications of Machine Learning for Innovations in Material Design, SVNIT Nagpur (Online), Feb 07, 2024.
28. Keynote: Machine learning for innovations in material design, Dec 4, 2023, NAO Family Day India at BASF, Mumbai.
27. Keynote: Machine learning for mechanics and material design, Nov 25, 2023, HPC Research Week, at IIT Madras.
26. Keynote: Machine Learning-based High-throughput Design of Composites, at SPARC Indo-Australian Webinar onComposite Materials For Ballistic Protection, Sep 20, 2023. Online. Organized by PSG Tec. Coimbatore.
25. Keynote: Material Informatics, Machine Learning for Material Design and Database Development, AMM2023 at Automotive Research Association of India (ARAI), June 1, 2023.
24. Keynote: Machine Learning Driven Accelerated Workflows for Additively Manufactured Materials, International Symposium on Additive Manufacturing of Metallic Alloys and Composites: Academic and Industrial Perspective by IIITDM Jabalpur, April 12, 2023.
23. Machine Learning for Novel Material Design and Performance Analysis, COEP, IIM Pune Chapter, April 1, 2023.
22. Design of Brittle Crystalline Solids using Machine Learning and Physically Based Models, Centre for Ceramic Technologies for Futuristic Mobility IIT Madras, March 11, 2023.
21. Data-Driven and Physics-Informed Machine Learning for High–throughput Design of Composites, Indo-French Research Seminar, PSG Tec. Coimbatore, March 02, 2023.
20. ML aided Multiscale Mechanics, Materials Informatics, Discovery, Design and All That, CMInDS Seminar, Oct 19, 2022.
19. Data-Driven and Physics-Informed Machine Learning for Design and Mechanics of Materials, OpenACC and Hackathons Asia-Pacific Summit, August 25, 2022.
18. Multiscale Mechanics of Deformation and Fracture, at Non-local Mechanics Approaches for Localized Deformations, IIT Hyderabad, June 8, 2022.
17. AI aided Multiscale Computational Mechanics for Material Design and ICME, C-DEC Bootcamp, AI for Science, Feb, 2021.
16. AI aided Multiscale Computational Mechanics for Material Design and ICME, AMM 2020 (Webinar), Dec, 2020.
15. Structure-property Relations and Material Design using Deep Learning, AI for Material Design (AIMD), Jun 8, 2020.
14. Artificial Intelligence based Modeling for Fatigue, DMRL, Nov 8, 2019.
13. Multiscale computational mechanics and machine learning for material design, IIT Roorkee, Oct 24, 2019.
12. Machine Learning for Multiscale Structure-Property Linkages, ADMAT 2019, Hyderabad, Sep 24, 2019.
11. Machine Learning for Multiscale Modeling of Deformation, MIDHANI, Hyderabad, Feb 1, 2019.
10. Crystal Plasticity Modeling of Climb Assisted Glide, International Conference on Plasticity and Its Applications, Panama, Jan 3 - Jan 8, 2019.
9. Applications of AI with Multiscale Computational Mechanics, Workshop: Applications of AI in Materials Technologies, DMRL, Hyderabad, Dec 20, 2018.
8. Multiscale Computational Plasticity for understanding wear, Workshop: Advanced Mechanical Surface Characterisation, Anton Paar India Pvt Ltd, Gurgaon, India, May 15 - May 16, 2018.
7. Multiscale Modeling of Plasticity in Complex Environment, SICE 2018, Hyderabad, India, July 25 - July 27.
6. Modeling of Crystallographic Texture, SERB-Crystallographic Texture School, IIT Bombay, India, September 20, 2017.
5. Multiscale approach to crystal plasticity and creep in metals, IIT Bombay, India, August 21, 2017.
4. Multiscale approach to crystal plasticity in metals, BARC, India, March 22, 2017.
3. A multiscale, microstructure sensitive approach to crystal plasticity, Seminar at PNNL, Richland, WA, Apr 5, 2012.
2. Development of a dislocation density based climb + glide model for single crystals, Plasticity 2012, San Juan, PR, Jan 3 - 8, 2012.
1. Effect of cross-slip on evolution of dislocation patterning in polycrystalline aluminum, 2nd International symposium on computational mechanics of polycrystals, Bad Honnef, Germany, Mar 15 - 16, 2010.

Research Group & Mentorship

Postdoctoral Associates

Ph.D. Students

M.Tech Students

Dual Degree Students

B.Tech Students

Interns

Project Staffs

Teaching

  • Instructor ME 228 - Applied Data Science and Machine Learning, Spring 2024, 2025, 2026
  • Co-Instructor ME 899 - Communication Skills, Fall 2023, 2024, 2025
  • Instructor ME 673 - Mathematical Methods for Engineers, Fall 2023, 2024, 2025
  • Co-Instructor DS 899 - Communication Skills, Spring 2023, 2024
  • Instructor ME 793 - Multiscale Materials Informatics, Discovery and Design, Spring 2021, 2022, 2023,2024
  • Instructor ME 221 - Structural Materials, Fall 2019, 2020, 2021, 2022
  • Instructor ME 775 - Mechanisms in Crystal Plasticity: Fall 2016, 2017, 2018, 2022, Spring 2019, 2020
  • Co-Instructor ME 218 - Solid Mechanics Lab: Spring 2020, 2021
  • Co-Instructor ME 206, ME 333 - Manufacturing Processing: Spring 2017, 2018, 2019
  • Co-Instructor ME 206 - Manufacturing Processing: Spring 2018, IIT Dharwad
  • Co-Instructor ME 374 - Manufacturing Processes Lab: Fall 2018
  • Co-Instructor ME 409 - Intelligent Manufacturing Systems Lab: Fall 2016, 2017, 2018
  • Co-Instructor ME 119 - Engineering Drawing: Fall 2016, 2019
  • Co-Instructor ME 714 - Computer Integrated Manufacturing: Spring 2016

    • Media

  • About collaboration with Oilmax Energy Pvt Ltd
  • How Machine Learning can speed up material design, testing and manufacturing
  • Breaking Trial and Error Loop Using Machine Learning
  • Multiscale modeling of metal deformation in extreme conditions
  • Integrated computational materials engineering