Publications
Google Scholar Statistics
- Autonomous Phase Mapping of Gold Nanoparticles Synthesis with Differentiable Models of Spectral Shape (2025)
Vaddi, Kiran, Huat Thart Chiang, and Lilo D. Pozzo.Accepted to be published in npj Computational Materials (October 2nd, 2025)
- Efficient analysis of small-angle scattering curves for large biomolecular assemblies using Monte Carlo methods, Journal of Applied Crystallography 58 (3) (2025) Huat Thart Chiang, Zhiyin Zhang, Kiran Vaddi, F. Akif Tezcan, Lilo D. Pozzo.
- Self-assembly of a Triblock Copolymer in the Presence of a Rigid Conjugated Polyelectrolyte, Macromolecules 57 (24), 11717–11726 (2024) Karen Li, Kiran Vaddi, Soenke Seifert, Jitendra Mata, Lilo D. Pozzo.
- Data-driven exploration of silver nanoplate formation in multidimensional chemical design spaces, Digital Discovery 3 (11), 2252–2264 (2024) Huat Thart Chiang, Kiran Vaddi, Lilo D. Pozzo.
- A high-throughput workflow for the synthesis of CdSe nanocrystals using a sonochemical materials acceleration platform, Digital Discovery 2 (4), 1042–1057 (2023) Maria Politi et al. Kiran Vaddi.
RSC Digital Discovery’s Editor Choice Article
- Metric geometry tools for automatic structure phase map generation, Digital Discovery 2 (5), 1471–1483 (2023) Kiran Vaddi, Karen Li, Lilo D. Pozzo.
- Construction and high throughput exploration of phase diagrams of multi-component organic blends, Computational Materials Science 216, 111829 (2023) Kiran Vaddi et al.
- Autonomous retrosynthesis of gold nanoparticles via spectral shape matching, Digital Discovery 1 (4), 502–510 (2022) Kiran Vaddi, Huat Thart Chiang, and Lilo D. Pozzo.
RSC Digital Discovery’s Editor Choice Article. Introduces Amplitude-Phase Distance for Spectral Shape Measurements.
- Multivariate analysis of peptide-driven nucleation and growth of Au nanoparticles, Digital Discovery 1 (4), 427–439 (2022) Lachowski, Kacper J., Kiran Vaddi, et al.
- Active knowledge extraction from cyclic voltammetry, Energies 15 (13), 4575 (2022) Kiran Vaddi and Olga Wodo.
- Representations for Data-Driven Material Discovery, PhD Dissertation, SUNY Buffalo (2021) Kiran Vaddi.
- Reduction of Escape Cone Losses in Luminescent Solar Concentrators Using High-Contrast Gratings, Advances in Energy Research Vol. 1, 37–43 (2020) Elikkottil, Athira, Kiran Vaddi, K. S. Reddy, Bala Pesala.
- Metric learning for high-throughput combinatorial data sets, ACS Combinatorial Science 21 (11), 726–735 (2019) Kiran Vaddi and Olga Wodo.