Research output per year
Research output per year
Personal profile
Keywords
- QC Physics
- Spectroscopy
- Material Science
- Density Functional Theory
- Molecular Dynamics
- Biomaterials
- biophotonics
- biophysics
- biospectroscopy
- Sensors
- QD Chemistry
- Quantum Chemistry
- Reaction Mechanism
- Catalysis
- Q Science (General)
- Energy storage
- Machine Learning and AI
- Data science
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Dive into the research topics where Rahul Suresh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Entropy-based spatial heterogeneity analysis in pathological images for diagnostic applications
Suresh, R., Nguyen, T. N. Q., Bouzy, P., Stone, N., Jirstrom, K., Rahman, A., Gallagher, W. & Meade, A. D., 18 Jun 2024, Data Science for Photonics and Biophotonics. Bocklitz, T. (ed.). SPIE, 130110E. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13011).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Revolutionizing physics: a comprehensive survey of machine learning applications
Suresh, R., Bishnoi, H., Kuklin, A. V., Parikh, A., Molokeev, M., Harinarayanan, R., Gharat, S. & Hiba, P., 16 Feb 2024Research output: Other contribution › peer-review
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Structural and electronic properties of Li-adsorbed single and bilayer porphyrin sheets as an electrode material for energy storage devices – a DFT analysis
Asnafarsin, K. A., Anithaa, V. S., Balakrishnan, A., Suresh, R., Hernandez, N. C. & Subramaniam, V., 2024, In: Physical Chemistry Chemical Physics.Research output: Contribution to journal › Article › peer-review
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Superatom molecular orbital in <scp>C<sub>80</sub></scp>
Venkatakrishnan, P., Kuklin, A. V., Suresh, R. & Subramaniam, V., 5 May 2024, In: Journal of Computational Chemistry.Research output: Contribution to journal › Article › peer-review
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Using Shapley additive explanations and saliency for interpretation of multiclass classification of PDX spectral data with deep neural networks
Rafsanjani, M. R., Dooney, A., Suresh, R., O’Farrell, A. C., Jarzabek, M. A., Shiels, L., Byrne, A. T., Prehn, J. H. M. & Meade, A. D., 18 Jun 2024, Data Science for Photonics and Biophotonics. Bocklitz, T. (ed.). SPIE, 130110F. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13011).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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