Prahlad Kumar Routh
Research Associate -SUNYSB, Structure and Dynamics of Applied Nanomaterials (SDAN) Group, Chemistry Division
Expertise | Research | Education | Appointments | Publications | Highlights
Expertise
X-ray Spectroscopy; Machine Learning; Catalysis; Sustainability; Materials characterization; 2D Materials, 0D-2D hybrids; Single Molecule Spectroscopy; Nanophotonics; Non-Linear Microscopy; Organic Photovoltaics; Functional Nanomaterials.
Research Activities
Structure and Dynamics of Applied Nanomaterials (SDAN) Group
- Physico-chemical properties of nanocatalysts, structure-property function relationships in disordered systems, mechanisms of catalytic reactions, mechanisms of work of electromechanical materials.
- Use of synchrotron-based techniques in materials characterization (x-ray absorption (XAFS) and x-ray diffraction). Development of new in situ/operando techniques for studies of functional nanomaterials.
- Use of advanced optical spectroscopy techniques (ultrafast photodynamics characterization) for investigating structural, optical and electronic properties of materials such as semiconducting polymers, nanocrystals, 2D materials and their hybrids.
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Development of Machine Learning based approaches for "inversion" of XAFS spectra (an end-to-end approach using simulation guided data generation and autoencoder based algorithms) to the atomic level structural information from nanocatalysts.
Education
- Ph.D. (Materials Science & Engineering) Stony Brook University, Stony Brook, NY 2016
- M.S. (Materials Science & Engineering) Stony Brook University, Stony Brook, NY 2013
- B.Tech. (Metallargical Engineering & Materials Science) IIT Madras, Chennai 2009
Professional Appointments
- Research Associate, Materials Sci & Chemical Engg Dept., Stony Brook University, Stony Brook, NY 2019 - Present
- Lecturer & Science Fellow, Department of Physics, Columbia University, New York, NY 2016 - 2019
- Research Assistant, Center for Functional Nanomaterials, Brookhaven National Lab, Upton, NY 2011 - 2016
- Senior Research Fellow, Industrial Consultancy & Sponsored Research, IIT Madras 2009 - 2010
Selected Publications
- Routh PK, Marcella N, Frenkel AI (2023) Speciation of Nanocatalysts Using X-ray Absorption Spectroscopy Assisted by Machine Learning. The Journal of Physical Chemistry C. https://doi.org/10.1021/acs.jpcc.3c00571
- Xiang S, Huang P, Li J, et al (2022) Solving the structure of "single-atom" catalysts using machine learning – assisted XANES analysis. Physical Chemistry Chemical Physics 24:5116–5124. https://doi.org/10.1039/d1cp05513e
- Routh PK, Liu Y, Marcella N, et al (2021) Latent Representation Learning for Structural Characterization of Catalysts. The Journal of Physical Chemistry Letters 12:2086–2094. https://doi.org/10.1021/acs.jpclett.0c03792
- Li M, Chen J, Routh PK, et al (2018) Distinct Optoelectronic Signatures for Charge Transfer and Energy Transfer in Quantum Dot–MoS2 Hybrid Photodetectors Revealed by Photocurrent Imaging Microscopy. Advanced Functional Materials 28:1707558. https://doi.org/10.1002/adfm.201707558
- Zang H, Routh PK, Huang Y, et al (2016) Nonradiative Energy Transfer from Individual CdSe/ZnS Quantum Dots to Single-Layer and Few-Layer Tin Disulfide. ACS Nano 10:4790–4796. https://doi.org/10.1021/acsnano.6b01538
- Routh PK, Nykypanchuk D, Venkatesh TA, Cotlet M (2015) Long Range Self-Assembly of Polythiophene Breath Figures: Optical and Morphological Characterization. Advanced Functional Materials 25:5902–5909. https://doi.org/10.1002/adfm.201502463
Research Highlights
Quantum Dots Enhance Light-to-Current Conversion in Layered Metal Dichalcogenide Semiconductors
Small size enhances charge transfer in quantum dots