Rohit Batra

6.3k citations

54 papers · 4.6k indexed · 2 hit papers · h-index 28

Materials Chemistry top 1%
- Machine Learning in Materials Science 29
- X-ray Diffraction in Crystallography 9
- MXene and MAX Phase Materials 7
Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 10
Metals and Alloys top 5%
Catalysis top 5%
Structural Biology top 5%
Electrical and Electronic Engineering
- Ferroelectric and Negative Capacitance Devices 7
- Fuel Cells and Related Materials 6
Physical and Theoretical Chemistry
- Photochemistry and Electron Transfer Studies 5
Molecular Biology
- Chemical Synthesis and Analysis 4

Co-authors: Rampi Ramprasad Chiho Kim Ghanshyam Pilania Arun Mannodi‐Kanakkithodi Tran Doan Huan Lihua Chen James Chapman Venkatesh Botu
Cited by: Materials Chemistry Computational Theory and Mathematics Metals and Alloys
Journals: Computational Materials Science (6 papers)npj Computational Materials (5 papers)The Journal of Physical Chemistry C (5 papers)
Partner nations: United States India Switzerland

In The Last Decade

Rohit Batra

53 papers receiving 4.5k citations

Hit Papers

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Peers

Countries citing papers authored by Rohit Batra

Since Specialization

Citations

This map shows the geographic impact of Rohit Batra'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 Rohit Batra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Batra more than expected).

Fields of papers citing papers by Rohit Batra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rohit Batra. 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 Rohit Batra. The network helps show where Rohit Batra may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Rohit Batra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rohit Batra Line = papers co-authored together Rohit Batra links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Physically interpretable interatomic potentials via symbolic regression and reinforcement learning npj Computational Materials ·Uich NAKAMURA,Troy D. Loeffler,Suvo Banik,Yoo-Shin Jo,S. C. Ramonas,Karthik Balasubramanian,Rohit Batra,Mathew J. Cherukara,U. Klocke,Jos√© Vieira,C. F. Buynak,敏幸神永	2026	0
2	Discovery of unconventional and nonintuitive self-assembling peptide materials using experiment-driven machine learning Science Advances ·Oduro Ibok,Subramanian K. R. S. Sankaranarayanan,H. Christopher Fry,Rohit Batra	2025	3
3	Probing phonon anharmonicity of multilayer Ti3C2Tx (T: OH, O, or F) MXene through temperature- and pressure-dependent Raman studies Physical review. B. ·Ernest Percival Glover,R. Thiyagarajan,L Solsona Díaz,Rohit Batra,Shakti Prabhu,K. Sethupathi,M. S. Ramachandra Rao	2025	2
4	Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI Nature Machine Intelligence ·Alexandre Bota Arqué,Sung Uk Park,Y. Nivas,Murugaiyan Amirthalingam,Rohit Batra	2025	4
5	Magnetic Frameworks and Non‐Magnetic Dopants: A Novel Strategy for Enhancing Thermoelectric Efficiency in Manganese Telluride – Mechanistic Insights into Charge Carrier Dynamics and Phonon Transport Small ·Yang Lin-heng,闫嘉琪,L Solsona Díaz,Rohit Batra,Chaparro Páez,Bhuvanesh Srinivasan	2025	2
6	Autonomous platform for solution processing of electronic polymers Nature Communications ·武田伸一,Yeonju Kim,Danang Kusumawardana,Rohit Batra,罗良意,Naisong Shan,Nan Li,Pierre Darancet,Logan Ward,Yuzi Liu,Maria K. Y. Chan,Subramanian K. R. S. Sankaranarayanan,H. Christopher Fry,C. S. Miller,Henry Chan,Jie Xu	2025	19
7	Machine learning enabled discovery of superhard and ultrahard carbon polymorphs Computational Materials Science ·Karthik Balasubramanian,Sukriti Manna,Suvo Banik,Srilok Srinivasan,Rohit Batra,Subramanian Sankaranarayanan	2024	1
8	Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals ACS Applied Materials & Interfaces ·Uich NAKAMURA,Sukriti Manna,Troy D. Loeffler,Rohit Batra,Mathew J. Cherukara,Subramanian K. R. S. Sankaranarayanan	2024	3
9	Accelerated Sequence Design of Star Block Copolymers: An Unbiased Exploration Strategy via Fusion of Molecular Dynamics Simulations and Machine Learning The Journal of Physical Chemistry B ·Jan‐Michael Y. Carrillo,Elizabeth L. Shyamala,Tarak K. Patra,A. Sellai,Thomas P. Russell,Subramanian K. R. S. Sankaranarayanan,Bobby G. Sumpter,Rohit Batra	2024	1
10	Learning in continuous action space for developing high dimensional potential energy models Nature Communications ·Sukriti Manna,Troy D. Loeffler,Rohit Batra,Suvo Banik,Henry Chan,Uich NAKAMURA,Kiran Sasikumar,Michael Sternberg,Tom Peterka,Mathew J. Cherukara,Stephen K. Gray,Bobby G. Sumpter,Subramanian K. R. S. Sankaranarayanan	2022	41
11	Machine learning overcomes human bias in the discovery of self-assembling peptides Nature Chemistry ·Rohit Batra,Troy D. Loeffler,Henry Chan,A. Zhokin,Honggang Cui,Ivan V. Korendovych,Vikas Nanda,Liam C. Palmer,Lee A. Solomon,H. Christopher Fry,Subramanian K. R. S. Sankaranarayanan	2022	100
12	Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene The Journal of Physical Chemistry Letters ·Yoo-Shin Jo,Rohit Batra,Sukriti Manna,Troy D. Loeffler,Henry Chan,Michael Sternberg,Dominique Lejeune,Harpal Singh,Mathew J. Cherukara,Subramanian K. R. S. Sankaranarayanan	2022	18
13	Machine learning the metastable phase diagram of covalently bonded carbon Nature Communications ·Srilok Srinivasan,Rohit Batra,Duan Luo,Troy D. Loeffler,Sukriti Manna,Henry Chan,Liuxiang Yang,Wenge Yang,Jianguo Wen,Pierre Darancet,Subramanian K. R. S. Sankaranarayanan	2022	28
14	Artificial Intelligence-Guided De Novo Molecular Design Targeting COVID-19 ACS Omega ·Srilok Srinivasan,Rohit Batra,Henry Chan,Ganesh Kamath,Mathew J. Cherukara,Subramanian K. R. S. Sankaranarayanan	2021	27
15	Learning with Delayed Rewards—A Case Study on Inverse Defect Design in 2D Materials ACS Applied Materials & Interfaces ·Suvo Banik,Troy D. Loeffler,Rohit Batra,Harpal Singh,Mathew J. Cherukara,Subramanian K. R. S. Sankaranarayanan	2021	20
16	Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies The Journal of Physical Chemistry Letters ·Rohit Batra,Henry Chan,Ganesh Kamath,Rampi Ramprasad,Mathew J. Cherukara,Subramanian K. R. S. Sankaranarayanan	2020	66
17	Machine-learning predictions of polymer properties with Polymer Genome Journal of Applied Physics ·Tran Doan Huan,Chiho Kim,Lihua Chen,Anand Chandrasekaran,Rohit Batra,Shruti Venkatram,Deepak Kamal,J NGICHABE,Rishi Gurnani,Pranav Shetty,D. Barney,W. Smith,shifa liu,Rampi Ramprasad	2020	182
18	Refractive index prediction models for polymers using machine learning Journal of Applied Physics ·J NGICHABE,Lihua Chen,Chiho Kim,Rohit Batra,Rampi Ramprasad	2020	39
19	Frequency-dependent dielectric constant prediction of polymers using machine learning npj Computational Materials ·Lihua Chen,Chiho Kim,Rohit Batra,J NGICHABE,Chao Wu,Zongze Li,Ajinkya A. Deshmukh,Yifei Wang,Tran Doan Huan,Priya Vashishta,Gregory A. Sotzing,Yang Cao,Rampi Ramprasad	2020	142
20	Synthesis and X‐Ray Structure of Bis{S‐(1‐lithio‐3,3‐diphenylprop‐2‐enyl)‐N‐methyl‐S‐phenylsulfoximine– Tetrahydrofuran (1/2)} Complemented by Model ab initio Calculations of α‐Lithiosulfoximines Helvetica Chimica Acta ·Jürgen F. K. Müller,Bernhard Spingler,Margareta Zehnder,Rohit Batra	1996	18

About Rohit Batra

Rohit Batra is a scholar working on Physical and Theoretical Chemistry, Materials Chemistry, Computational Theory and Mathematics, Metals and Alloys and Organic Chemistry, having authored 54 papers that have together received 4.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (29 papers), Computational Drug Discovery Methods (10 papers), X-ray Diffraction in Crystallography (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers), MXene and MAX Phase Materials (7 papers), Fuel Cells and Related Materials (6 papers), Photochemistry and Electron Transfer Studies (5 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Materials Chemistry (3.2k citations), Computational Theory and Mathematics (793 citations), Metals and Alloys (94 citations), Catalysis (170 citations) and Structural Biology (34 citations). Rohit Batra has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Rampi Ramprasad, Chiho Kim, Ghanshyam Pilania, Arun Mannodi‐Kanakkithodi, Tran Doan Huan, Lihua Chen, James Chapman, Venkatesh Botu, Anand Chandrasekaran and Le Song. Their work appears in journals such as Computational Materials Science, npj Computational Materials, The Journal of Physical Chemistry C, Chemistry of Materials and Nature Communications.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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