Staff information

PNNL Publications

2025

• Allec S.I., and M.A. Ziatdinov. 2025. "Active and transfer learning with partially Bayesian neural networks for materials and chemicals." Digital Discovery 4, no. 5:1284-1297. PNNL-SA-207143. doi:10.1039/D5DD00027K
• Vatsavai A., G. Narasimha, Y. Liu, J. Chowdhury, J. Yang, H. Funakubo, and M.A. Ziatdinov, et al. 2025. "Curiosity Driven Exploration to Optimize Structure-Property Learning in Microscopy." Digital Discovery 4, no. 8:2188-2197. PNNL-SA-212230. doi:10.1039/D5DD00119F

2024

• Kalinin S.V., M.A. Ziatdinov, M. Ahmadi, A. Ghosh, K. Roccapriore, Y. Liu, and R. Vasudevan. 2024. "Designing Workflows for Materials Characterization." Applied Physics Reviews 11, no. 1:Art. No. 11314. PNNL-SA-193503. doi:10.1063/5.0169961
• Raghavan A., R. Pant, I. Takeuchi, E.A. Eliseev, M. Checa, A.N. Morozovska, and M.A. Ziatdinov, et al. 2024. "JOINT APPOINTEE: Evolution of ferroelectric properties in SmxBi1-xFeO3 via automated Piezoresponse Force Microscopy across combinatorial spread libraries." ACS Nano 18, no. 37:25591-25600. PNNL-SA-203014. doi:10.1021/acsnano.4c06380
• Roccapriore K., M.A. Ziatdinov, A. Lupini, A.P. Singh, U. Philipose, and S.V. Kalinin. 2024. "Discovering invariant spatial features in electron energy loss spectroscopy images on the mesoscopic and atomic levels." Journal of Applied Physics 135, no. 11:Art. No. 114303. PNNL-SA-201685. doi:10.1063/5.0193607
• Slautin B.N., Y. Liu, H. Funakubo, R. Vasudevan, M.A. Ziatdinov, and S.V. Kalinin. 2024. "JOINT APPOINTEE: Bayesian Conavigation: Dynamic Designing of the Material Digital Twins via Active Learning." ACS Nano 18, no. 36:24898-24908. PNNL-SA-203174. doi:10.1021/acsnano.4c05368
• Valencia Acuna P.A., K. Rijal, C. Wang, M.A. Ziatdinov, W. Chan, and P.Z. El-Khoury. 2024. "Visualizing nanoscale heterogeneity in perylene thin films via tip-enhanced photoluminescence with unsupervised machine learning." Chemical Communications 60, no. 58:7435-7438. PNNL-SA-193548. doi:10.1039/D4CC01808G
• Valleti M., M.A. Ziatdinov, Y. Liu, and S.V. Kalinin. 2024. "Physics and Chemistry from Parsimonious Representations: Image Analysis via Invariant Variational Autoencoders." npj Computational Materials 10, no. _:Art No. 183. PNNL-SA-197172. doi:10.1038/s41524-024-01250-5
• Ziatdinov M.A., M.Y. Yaman, Y. Liu, D.S. Ginger, and S.V. Kalinin. 2024. "Semi-supervised learning of images with strong rotational disorder: assembling nanoparticle libraries." Digital Discovery 3, no. 6:1213-1220. PNNL-SA-197885. doi:10.1039/D3DD00196B