Sukriti Manna

1.6k total citations · 1 hit paper
43 papers, 1.1k citations indexed

About

Sukriti Manna is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Sukriti Manna has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Sukriti Manna's work include Machine Learning in Materials Science (18 papers), Advanced Memory and Neural Computing (8 papers) and Computational Drug Discovery Methods (5 papers). Sukriti Manna is often cited by papers focused on Machine Learning in Materials Science (18 papers), Advanced Memory and Neural Computing (8 papers) and Computational Drug Discovery Methods (5 papers). Sukriti Manna collaborates with scholars based in United States, India and China. Sukriti Manna's co-authors include Subramanian K. R. S. Sankaranarayanan, Cristian V. Ciobanu, Michael Sternberg, Rasoul Khaledialidusti, Zachary D. Hood, Babak Anasori, Srinivasa Kartik Nemani, Brian C. Wyatt, Weichen Hong and Tamoghna Chakrabarti and has published in prestigious journals such as Science, Advanced Materials and Nature Communications.

In The Last Decade

Sukriti Manna

43 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Entropy 2D Carbide MXenes: TiVNbMoC ₃ and TiVCrMoC ₃

2021 292 citations Srinivasa Kartik Nemani, Bowen Zhang et al. ACS Nano profile →

Peers

Sukriti Manna

EEE

Christian J. Long United States

Yi Cao China

Anupama B. Kaul United States

Julie Hamilton United States

Qingming Chen China

Benny Lassen Denmark

Yunshan Zhao Singapore

Jinyang Zhao China

Yao Zhou China

Papot Jaroenapibal Thailand

Christian J. Long United States

Sukriti Manna

724 ×1.0

349 ×0.8

EEE

351 ×1.7

132 ×0.8

90 ×0.8

Citations per year, relative to Sukriti Manna Sukriti Manna (= 1×) peers Christian J. Long

Countries citing papers authored by Sukriti Manna

Since Specialization

Citations

This map shows the geographic impact of Sukriti Manna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sukriti Manna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukriti Manna more than expected).

Fields of papers citing papers by Sukriti Manna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sukriti Manna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sukriti Manna. The network helps show where Sukriti Manna may publish in the future.

Co-authorship network of co-authors of Sukriti Manna

This figure shows the co-authorship network connecting the top 25 collaborators of Sukriti Manna. A scholar is included among the top collaborators of Sukriti Manna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sukriti Manna. Sukriti Manna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dutta, P.S., Henry Chan, Sukriti Manna, et al.. (2025). Development and assessment of hierarchical multi-reward reinforcement learning based potential for silicene with state-of-the-art models. Materials Today Advances. 26. 100583–100583. 1 indexed citations

Balasubramanian, Karthik, Sukriti Manna, Suvo Banik, et al.. (2024). Machine learning enabled discovery of superhard and ultrahard carbon polymorphs. Computational Materials Science. 246. 113506–113506. 1 indexed citations

Manna, Sukriti, et al.. (2024). Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals. ACS Applied Materials & Interfaces. 16(16). 20681–20692. 3 indexed citations

Banik, Suvo, P.S. Dutta, Sukriti Manna, & Subramanian K. R. S. Sankaranarayanan. (2024). Development of a Machine Learning Potential to Study the Structure and Thermodynamics of Nickel Nanoclusters. The Journal of Physical Chemistry A. 128(47). 10259–10271. 4 indexed citations

Balasubramanian, Karthik, et al.. (2024). Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning. The Journal of Physical Chemistry A. 128(28). 5752–5761. 3 indexed citations

Gamage, Sampath, Sukriti Manna, Steven Hancock, et al.. (2024). Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices. ACS Nano. 18(3). 2105–2116. 9 indexed citations

Pofelski, Alexandre, Sunbin Deng, Haoming Yu, et al.. (2024). Subnanometer Scale Mapping of Hydrogen Doping in Vanadium Dioxide. Nano Letters. 24(6). 1974–1980. 7 indexed citations

Chan, Henry, et al.. (2024). Machine Learning a Simple Interpretable Short-Range Potential for Silica. Journal of Chemical Theory and Computation. 20(19). 8665–8674. 3 indexed citations

Balasubramanian, Karthik, Suvo Banik, Sukriti Manna, Srilok Srinivasan, & Subramanian K. R. S. Sankaranarayanan. (2024). Learning the stable and metastable phase diagram to accelerate the discovery of metastable phases of boron. SHILAP Revista de lepidopterología. 2(1). 5 indexed citations

10.

Deng, Sunbin, Haoming Yu, Tae Joon Park, et al.. (2023). Selective area doping for Mott neuromorphic electronics. Science Advances. 9(11). eade4838–eade4838. 38 indexed citations

11.

Banik, Suvo, Sukriti Manna, Henry Chan, et al.. (2023). A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery. npj Computational Materials. 9(1). 16 indexed citations

12.

Banik, Suvo, Debdas Dhabal, Henry Chan, et al.. (2023). CEGANN: Crystal Edge Graph Attention Neural Network for multiscale classification of materials environment. npj Computational Materials. 9(1). 33 indexed citations

13.

Manna, Sukriti, Henry Chan, Avishek Ghosh, Tamoghna Chakrabarti, & Subramanian K. R. S. Sankaranarayanan. (2023). Understanding and control of Zener pinning via phase field and ensemble learning. Computational Materials Science. 229. 112384–112384. 21 indexed citations

14.

Manna, Sukriti, et al.. (2023). Understanding structure-processing relationships in metal additive manufacturing via featurization of microstructural images. Computational Materials Science. 231. 112566–112566. 2 indexed citations

15.

Wang, Yunzhe, et al.. (2022). Accelerated prediction of atomically precise cluster structures using on-the-fly machine learning. npj Computational Materials. 8(1). 22 indexed citations

16.

Manna, Sukriti, Troy D. Loeffler, Rohit Batra, et al.. (2022). Learning in continuous action space for developing high dimensional potential energy models. Nature Communications. 13(1). 368–368. 41 indexed citations

17.

Dwivedi, Neeraj, Karthik Balasubramanian, Sukriti Manna, et al.. (2022). Unusual High Hardness and Load-Dependent Mechanical Characteristics of Hydrogenated Carbon–Nitrogen Hybrid Films. ACS Applied Materials & Interfaces. 14(17). 20220–20229. 6 indexed citations

18.

Batra, Rohit, Sukriti Manna, Troy D. Loeffler, et al.. (2022). Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene. The Journal of Physical Chemistry Letters. 13(7). 1886–1893. 18 indexed citations

19.

Zhang, Haitian, Tae Joon Park, A N M Nafiul Islam, et al.. (2022). Reconfigurable perovskite nickelate electronics for artificial intelligence. Science. 375(6580). 533–539. 166 indexed citations

20.

Nemani, Srinivasa Kartik, Bowen Zhang, Brian C. Wyatt, et al.. (2021). High-Entropy 2D Carbide MXenes: TiVNbMoC ₃ and TiVCrMoC ₃. ACS Nano. 15(8). 12815–12825. 292 indexed citations breakdown →

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