Prashanth Srinivasan

487 citations

15 papers · 373 indexed · h-index 11

Impact in

Materials Chemistry
- Machine Learning in Materials Science
- Shape Memory Alloy Transformations
- Nuclear Materials and Properties
Mechanical Engineering top 10%
- High Entropy Alloys Studies
- Intermetallics and Advanced Alloy Properties

Papers in

General Materials Science 1
Materials Chemistry 13
- Machine Learning in Materials Science 7
- Nuclear Materials and Properties 5
- Shape Memory Alloy Transformations 3
- Microstructure and mechanical properties 1

Co-authors: Blazej Grabowski Fritz Körmann Lucia Nicola A. Simone Andrew Ian Duff Yuji Ikeda Alexander V. Shapeev Jörg Neugebauer
Journals: Physical review. B. (5 papers)npj Computational Materials (4 papers)Computational Materials Science (2 papers)Journal of the American Chemical Society (1 paper)Journal of Applied Physics (1 paper)
Partner nations: Germany Netherlands United Kingdom

In The Last Decade

Prashanth Srinivasan

15 papers receiving 368 citations

Peers

Countries citing papers authored by Prashanth Srinivasan

Since Specialization

Citations

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

Fields of papers citing papers by Prashanth Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Prashanth Srinivasan, 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 Prashanth Srinivasan Line = papers co-authored together Prashanth Srinivasan links everyone, so they are left out of the graph.

All Works

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15 of 15 papers shown

#	Work
1	Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom npj Computational Materials ·Prashanth Srinivasan, Vashishtha Vinay, Blazej Grabowski, Alexander V. Shapeev	2024	6
2	Melting properties of the refractory metals V and W and the binary VW alloy fully from first principles Physical review. B. ·Li Zhu, Prashanth Srinivasan, Yilun Gong, Tilmann Hickel, Blazej Grabowski, Fritz Körmann, Jörg Neugebauer	2024	10
3	Anharmonicity in bcc refractory elements: A detailed ab initio analysis Physical review. B. ·Prashanth Srinivasan, Alexander V. Shapeev, Jörg Neugebauer, Fritz Körmann, Blazej Grabowski	2023	13
4	Dynamically stabilized phases with full ab initio accuracy: Thermodynamics of Ti, Zr, Hf with a focus on the hcp-bcc transition Physical review. B. ·Jong Hyun Jung, Nami GOTO, Prashanth Srinivasan, Blazej Grabowski	2023	11
5	Thermodynamic properties on the homologous temperature scale from direct upsampling: Understanding electron-vibration coupling and thermal vacancies in bcc refractory metals Physical review. B. ·Nami GOTO, Jong Hyun Jung, Prashanth Srinivasan, Blazej Grabowski	2023	13
6	High-accuracy thermodynamic properties to the melting point from ab initio calculations aided by machine-learning potentials npj Computational Materials ·Jong Hyun Jung, Prashanth Srinivasan, Nami GOTO, Blazej Grabowski	2023	30
7	Performance of two complementary machine-learned potentials in modelling chemically complex systems npj Computational Materials ·Manisha Manoj Khondhare, Viktor Zaverkin, Prashanth Srinivasan, Andrew Ian Duff, Johannes Kästner, Blazej Grabowski	2023	18
8	Thermodynamics up to the melting point in a TaVCrW high entropy alloy: Systematic ab initio study aided by machine learning potentials Physical review. B. ·Ying Zhou, Prashanth Srinivasan, Fritz Körmann, Blazej Grabowski, Roger Smith, Pooja Goddard, Andrew Ian Duff	2022	28
9	Li₅Sn, the Most Lithium-Rich Binary Stannide: A Combined Experimental and Computational Study Journal of the American Chemical Society ·Jiale Liu, Yuji Ikeda, Prashanth Srinivasan, Tan Zhi Yang, Blazej Grabowski, Rainer Niewa	2022	8
10	Frontiers in atomistic simulations of high entropy alloys Journal of Applied Physics ·Alberto Ferrari, Biswanath Dutta, Manisha Manoj Khondhare, Yuji Ikeda, Prashanth Srinivasan, Blazej Grabowski, Fritz Körmann	2020	50
11	The effectiveness of reference-free modified embedded atom method potentials demonstrated for NiTi and NbMoTaW Modelling and Simulation in Materials Science and Engineering ·Prashanth Srinivasan, Andrew Ian Duff, Thomas A. Mellan, Marcel H. F. Sluiter, Lucia Nicola, A. Simone	2019	23
12	Ab initio vibrational free energies including anharmonicity for multicomponent alloys npj Computational Materials ·Blazej Grabowski, Yuji Ikeda, Prashanth Srinivasan, Fritz Körmann, Christoph Freysoldt, Andrew Ian Duff, Alexander V. Shapeev, Jörg Neugebauer	2019	97
13	Atomistic modeling of the orientation-dependent pseudoelasticity in NiTi: Tension, compression, and bending Computational Materials Science ·Prashanth Srinivasan, Lucia Nicola, A. Simone	2018	26
14	Modeling pseudo-elasticity in NiTi: Why the MEAM potential outperforms the EAM-FS potential Computational Materials Science ·Prashanth Srinivasan, Lucia Nicola, A. Simone	2017	35
15	Molecular dynamics simulations of the two-way shape-memory effect in NiTi nanowires MRS Proceedings ·Prashanth Srinivasan, Lucia Nicola, Barend J. Thijsse, A. Simone	2015	5

About Prashanth Srinivasan

Prashanth Srinivasan is a scholar working on General Materials Science, Materials Chemistry, Mechanics of Materials, Mechanical Engineering and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 373 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Metal and Thin Film Mechanics (5 papers), Nuclear Materials and Properties (5 papers), Shape Memory Alloy Transformations (3 papers), Intermetallics and Advanced Alloy Properties (3 papers), High Entropy Alloys Studies (3 papers), Advanced Chemical Physics Studies (2 papers) and Microstructure and mechanical properties (1 paper). The work is most often cited by research in Materials Chemistry (246 citations), Mechanical Engineering (178 citations), Metals and Alloys (9 citations), Aerospace Engineering (66 citations) and Mechanics of Materials (49 citations). Prashanth Srinivasan has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Blazej Grabowski, Fritz Körmann, Lucia Nicola, A. Simone, Andrew Ian Duff, Yuji Ikeda, Alexander V. Shapeev, Jörg Neugebauer, Jong Hyun Jung and Christoph Freysoldt. Their work appears in journals such as Physical review. B., npj Computational Materials, Computational Materials Science, Journal of the American Chemical Society and Journal of Applied Physics.

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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