Journal Publications:
11. D Beniwal, A Kaushik, A Tiwari and PK Ray, Machine learning driven insights into yield strength of multi-principal element alloys, Journal of Materials Research, (2025). [DOI] [GitHub]
10. Jhalak, D Beniwal and PK Ray, Modeling oxidation of Mo-Si-B alloys using a novel fractional cellular automata method, Computational Materials Science, 262 (2026) 114365. [DOI] [GitHub]
9. D Beniwal and PK Ray, MAPAL: A python library for mapping features and properties of alloys over compositional spaces, Computational Materials Science, 262 (2026) 114360. [DOI] [GitHub]
8. G Ouyang, O Palasyuk, P Singh, D Beniwal, V Deodeshmukh, PK Ray, MJ Kramer, The microscopic mechanisms of high temperature oxidation of Haynes 282, Corrosion Science, 257 (2025) 113284. [DOI]
7. V Shivam, D Beniwal, Y Shadangi, P Singh, O Palasyuk, VS Hariharan, MJ Kramer, G Phanikumar, DD Johnson, PK Ray, NK Mukhopadhyay, Effect of Zn Addition on Phase Evolution in AlCrFeCoNiZn High-Entropy Alloy, Advanced Engineering Materials, 27 (2025) 2400827. [DOI]
6. D Beniwal, V Shivam, O Palasyuk, MJ Kramer, G Phanikumar, PK Ray, EDS-PhaSe: Phase segmentation and analysis from EDS elemental map images using markers of elemental segregation, Metallography, Microstructure, and Analysis, 12 (2023) 924–933 [Invited article]. [DOI] [GitHub]
5. D Beniwal and PK Ray, CoSMoR: Decoding decision-making process along continuous composition pathways in machine learning models trained for material properties, Physical Review Materials, 7 (2023) 043802. [DOI] [GitHub]
4. D Beniwal and PK Ray, FCC vs. BCC phase selection in high-entropy alloys via simplified and interpretable reduction of machine learning models, Materialia, 26 (2022) 101632. [DOI] [GitHub]
3. D Beniwal, P Singh, S Gupta, MJ Kramer, DD Johnson, PK Ray, Distilling physical origins of hardness in multi-principal element alloys directly from ensemble neural network models, npj Computational Materials, 8 (2022) 153. [DOI] [GitHub]
2. D Beniwal and PK Ray, Learning phase selection and assemblages in High-Entropy Alloys through a stochastic ensemble-averaging model, Computational Materials Science, 197 (2021) 110647. [DOI] [GitHub]
1. M Kiran Kumar, S Aggarwal, D Beniwal, AK Dey, H Singh, V Kain, Localized oxidation of zirconium alloys in high temperature and pressure oxidizing environments of nuclear reactors, Materials and Corrosion, 65 (2014) 244-249. [DOI]
Conference papers:
1. Jhalak, D Beniwal, PK Ray, Molecular Dynamics Simulations of Diffusivity in an Atomic Scale Diffusion Multiple, In: A Tiwari, PK Ray, N Sardana, R Kumar (eds) Proceedings of the International Conference on Fundamental and Industrial Research on Materials. iConFIRM 2023. Springer Proceedings in Physics, vol 308. Springer, Singapore (2024). DOI: https://doi.org/10.1007/978-981-97-4557-9_15
Book Chapters:
3. Jhalak, D Beniwal, A Review on Nickel Composite Coatings Deposited by Jet Electrodeposition, In: A Verma, SK Sethi, S Ogata (eds) Coating Materials: Computational Aspects, Applications and Challenges, Materials Horizons: From Nature to Nanomaterials, Springer, Singapore (2023). DOI: https://doi.org/10.1007/978-981-99-3549-9_16
2. Jhalak, D Beniwal, R Garg, Microstructure, Microhardness and Tribological Properties of Electrodeposited Ni–Co Based Particle Reinforced Composite Coatings, In: A Verma, SK Sethi, S Ogata (eds) Coating Materials: Computational Aspects, Applications and Challenges. Materials Horizons: From Nature to Nanomaterials, Springer, Singapore (2023). DOI: https://doi.org/10.1007/978-981-99-3549-9_17
1. D Beniwal, Jhalak, PK Ray, Data-driven phase selection, property prediction and force-field development in Multi-Principal Element Alloys, In: A Verma, SM Rangappa, S Ogata, S Siengchin (eds) Forcefields for Atomistic-Scale Simulations: Materials and Applications. Lecture Notes in Applied and Computational Mechanics, vol 99. Springer, Singapore (2022). DOI: https://doi.org/10.1007/978-981-19-3092-8_16
Conference Proceedings/Abstracts:
13. D Beniwal, H Sharma, Overview of High-energy Diffraction Microscopy, FZ-ZF Workshop, Virginia, US, Oct 2025
12. D Beniwal, J-S Park, P Kenesei, A Miceli, H Sharma, Machine Learning Model For Improved Spatial Resolution And Peak Detection In High-Energy Diffraction Microscopy, Denver X-ray Conference, Maryland, US, Aug 2025
11. D Beniwal, J-S Park, P Kenesei, A Miceli, H Sharma, Machine Learning Model For Improved Spatial Resolution And Peak Detection In High-Energy Diffraction Microscopy, APS-Users Meeting, Argonne National Laboratory, US, May 2025
10. D Beniwal, PK Ray, Data-driven Models and Computational Frameworks for Physically Informed Design of Multi-principal Element Alloys, PRCS 2024, Argonne National Laboratory, US, Nov 2024.
9. D Beniwal, PK Ray, EDS PhaSe: Phase segmentation and quantitative analysis from EDS elemental maps, EMSI 2024, IIT Bombay, May 2024.
8. D Beniwal, PK Ray, EDS PhaSe: Computational tool for phase segmentation and analysis from EDS elemental maps, iConFIRM 2023, IIT Ropar, December 2023.
7. D Beniwal, PK Ray, Binary interactions as drivers of phase evolution in high-entropy alloys, IIM-ATM 2023, Bhubaneswar, November 2023.
6. D Beniwal, PK Ray, Materials informatics for physically informed design of multi-principal element alloys, ICAM5 @ NIT Warangal, September 2023.
5. D Beniwal, PK Ray, Extracting physical insights from compositional machine learning models trained for predicting material properties, ASATM @ Nanyang Technological University, Singapore, January 2023.
4. D Beniwal, PK Ray, CoSMoR: A model-agnostic interpretation framework to extract exact feature contributions along continuous composition pathways in machine learning models trained for material properties, IIM-ATM 2022, Hyderabad, India, November 2022.
3. D Beniwal, P Singh, S Gupta, MJ Kramer, DD Johnson, PK Ray, Hardness prediction in high-entropy alloys using machine learning models driven by elemental and alloying descriptors, NMD-ATM 2020, Mumbai, India, February 2021.
2. D Beniwal, A Kaushik, PK Ray, Phase selection in high-entropy alloys using machine learning models, NMD-ATM 2020, Mumbai, India, February 2021.
1. D Beniwal, M Kiran Kumar, V Kain, VS Raja, Corrosion Behaviour of Austenitic Stainless Steels in Nitric Acid Containing Single/Mixed Halides in Transpassive Regime, International Corrosion Prevention Symposium for Research Scholars (CORSYM-2014), Mumbai, India, February 2014.