Subramanian K. R. S. Sankaranarayanan

Argonne National Laboratory — United States

Materials Science · Physical Sciences

50h-index10.3kcitations389works3.92yr avg
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Research Topics

Machine Learning in Materials Science(80), Acoustic Wave Resonator Technologies(36), nanoparticles nucleation surface interactions(30), Graphene research and applications(26), Advanced Memory and Neural Computing(25)

Publications389 total

Hierarchical Reinforcement Learning of a Short-Range Bond-Order Potential for Silica: Analytic Embedding of Coordination with Classical Efficiency
Journal of Chemical Theory and Computation·2026
Transfer, integration, and inverse design of metasurfaces in suspended membranes
Moore and More·2026Open Access
Efficient In Vitro Regeneration from Cotyledon Nodes and In Planta Genetic Transformation in Elite Peanut Cultivars
2026Open Access
Why Seeding Works When Nucleation Barriers Vanish
2026Open Access
Engineering pH-Responsive trans-Ferulic Acid/κ-Carrageenan Beads for On-Demand Micronutrient Delivery in Plants
2026
A computer vision methodology for pollen classification using SEM: a case study with medicinal plant species
Botany Letters·2026
Strain-Modified Raman Responses in Monolayer MoS <sub>2</sub> Nanobubbles Resolved at 5 nm
The Journal of Physical Chemistry Letters·2026
Transcriptomics in oilseed breeding: A genomic approach to crop enhancement
Elsevier eBooks·2026· 1 cited
Barrierless nucleation in glassy precursors drives zeolite formation
Proceedings of the National Academy of Sciences·2025Open Access
Autonomous Synthesis and Inverse Design of Electrochromic Polymers with High Efficiency and Accuracy
Journal of the American Chemical Society·2025
Generalizable machine learning potentials for quantum-accurate predictions of non-equilibrium behavior in 2D materials
Computer Methods in Applied Mechanics and Engineering·2025
Temporally staggered cropping co-benefits beneficial insects and pest control globally
2025Open Access
Molecular-resolution imaging of ice crystallized from liquid water by cryogenic liquid-cell TEM
Nature Communications·2025· 2 citedOpen Access
Temporally staggered cropping co-benefits beneficial insects and pest control globally
arXiv (Cornell University)·2025Open Access
Extraordinary protective robustness enabled by the synergy of copper/amorphous carbon/graphene-CNT hybrid: synergizing surface nano chemistry
Applied Surface Science·2025· 1 cited
Phase-Field Modeling of Two-Phase Flows: A Projection-Based Cahn-Hilliard-Navier-Stokes Framework
arXiv (Cornell University)·2025Open Access
Generalized Machine Learning Potential Models for Elemental Nanoclusters
2025Open Access
FLAMES─Fast, Low-Storage, Accurate, and Memory-Efficient Adaptive Sampling─Approach to Resolve Spatially Dependent Dynamics of Molecular Liquids
Journal of Chemical Theory and Computation·2025
Discovery of unconventional and nonintuitive self-assembling peptide materials using experiment-driven machine learning
Science Advances·2025· 7 citedOpen Access
From Nonclassical to Classical: Crystallization Seeds Reshape Nucleation Mechanisms
Journal of the American Chemical Society·2025· 9 cited
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Frequent Co-authors

Badri Narayanan(17), Mathew J. Cherukara(14), Sanket A. Deshmukh(10), Ganesh Kamath(10), Henry Chan(10), Shriram Ramanathan(10), Diana Berman(5), Ali Erdemir(5), Anirudha V. Sumant(5), Troy D. Loeffler(5), Sukriti Manna(5), Hua Zhou(5), Stephen K. Gray(5), Kiran Sasikumar(5), Venkat R. Bhethanabotla(4), Babu Joseph(4), Maria K. Y. Chan(4), Tae Joon Park(3), Zhen Zhang(3), Michele Kotiuga(3)