Publications

These are select publications from each year. You may find the full list on Google Scholar

2025

• Autonomous Phase Mapping of Gold Nanoparticles Synthesis with Differentiable Models of Spectral Shape (2025) Vaddi, Kiran, Huat Thart Chiang, and Lilo D. Pozzo.

  Under review at npj Computational Materials

  

• 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.

  

2024

• 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) Chiang, Huat Thart, Vaddi, Kiran, and Lilo D. Pozzo.

  

2023

• 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, Fabio Baum, Kiran Vaddi, Edwin Antonio, Joshua Vasquez, Brittany P Bishop, Nadya Peek, Vincent C Holmberg, Lilo D Pozzo.

  RSC Digitial Discoevery’s Editor Choice Article

  

• Metric geometry tools for automatic structure phase map generation, Digital Discovery 2 (5), 1471-1483 (2023) Vaddi, Kiran, Karen Li, and Lilo D. Pozzo.

  

• Construction and high throughput exploration of phase diagrams of multi-component organic blends, Computational Materials Science 216, 111829 (2023) Vaddi, Kiran, H Liu, Balaji Sesha Sarath Pokuri, Baskar Ganapathysubramanian, and Olga Wodo.

  

2022

• Autonomous retrosynthesis of gold nanoparticles via spectral shape matching, Digital Discovery 1 (4), 502-510 (2022) Vaddi, Kiran, Huat Thart Chiang, and Lilo D. Pozzo.

  RSC Digitial Discoevery’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., Vaddi, Kiran, Nada Y. Naser, François Baneyx, and Lilo D. Pozzo.
  

• Active knowledge extraction from cyclic voltammetry, Energies 15 (13), 4575 (2022) Vaddi, Kiran and Olga Wodo.
  

2021

• Representations for Data-Driven Material Discovery, PhD Dissertation, State University of New York at Buffalo (2021) Vaddi, Kiran.
  

2020

• Reduction of Escape Cone Losses in Luminescent Solar Concentrators Using High-Contrast Gratings, Advances in Energy Research, Vol. 1: Selected Papers from ICAER 2017, 37-43 (2020) Elikkottil, Athira, Vaddi, Kiran, K. S. Reddy, and Bala Pesala.

2019

• Metric learning for high-throughput combinatorial data sets, ACS Combinatorial Science 21 (11), 726-735 (2019) Vaddi, Kiran and Olga Wodo.