| Solid–solid phase transformations induced through cation exchange and strain in 2D heterostructured copper sulfide nanocrystals DH Ha, AH Caldwell, MJ Ward, S Honrao, K Mathew, R Hovden, ... Nano letters 14 (12), 7090-7099, 2014 | 183 | 2014 |
| The Oxidation of Cobalt Nanoparticles into Kirkendall-Hollowed CoO and Co3O4: The Diffusion Mechanisms and Atomic Structural Transformations DH Ha, LM Moreau, S Honrao, RG Hennig, RD Robinson The Journal of Physical Chemistry C 117 (27), 14303-14312, 2013 | 148 | 2013 |
| Increased activity in hydrogen evolution electrocatalysis for partial anionic substitution in cobalt oxysulfide nanoparticles A Nelson, KE Fritz, S Honrao, RG Hennig, RD Robinson, J Suntivich Journal of Materials Chemistry A 4 (8), 2842-2848, 2016 | 40 | 2016 |
| (NH 4) 2 S, a highly reactive molecular precursor for low temperature anion exchange reactions in nanoparticles H Zhang, LV Solomon, DH Ha, S Honrao, RG Hennig, RD Robinson Dalton Transactions 42 (35), 12596-12599, 2013 | 33 | 2013 |
| Low-temperature mechanical instabilities govern high-temperature thermodynamics in the austenite phase of shape memory alloy constituents: ab initio simulations of NiTi, NiZr … JB Haskins, H Malmir, SJ Honrao, LA Sandoval, JW Lawson Acta Materialia 212, 116872, 2021 | 27 | 2021 |
| Discovery of novel Li SSE and anode coatings using interpretable machine learning and high-throughput multi-property screening SJ Honrao, X Yang, B Radhakrishnan, S Kuwata, H Komatsu, A Ohma, ... Scientific Reports 11 (1), 16484, 2021 | 22 | 2021 |
| Augmenting machine learning of energy landscapes with local structural information SJ Honrao, SR Xie, RG Hennig Journal of Applied Physics 128 (8), 2020 | 18 | 2020 |
| Machine learning of ab-initio energy landscapes for crystal structure predictions S Honrao, BE Anthonio, R Ramanathan, JJ Gabriel, RG Hennig Computational Materials Science 158, 414-419, 2019 | 18 | 2019 |
| Nanocrystal symmetry breaking and accelerated solid-state diffusion in the lead–cadmium sulfide cation exchange system A Nelson, S Honrao, RG Hennig, RD Robinson Chemistry of Materials 31 (3), 991-1005, 2018 | 16 | 2018 |
| Phase equilibria and diffusion coefficients in the Fe-Zn binary system L Zhu, S Honrao, B Rijal, RG Hennig, MV Manuel Materials & Design 188, 108437, 2020 | 15 | 2020 |
| Nanoparticle metamorphosis: An in situ high-temperature transmission electron microscopy study of the structural evolution of heterogeneous Au: Fe2O3 nanoparticles WJ Baumgardner, Y Yu, R Hovden, S Honrao, RG Hennig, HD Abruña, ... Acs Nano 8 (5), 5315-5322, 2014 | 15 | 2014 |
| Data-driven study of shape memory behavior of multi-component Ni–Ti alloys in large compositional and processing space SJ Honrao, O Benafan, JW Lawson Shape Memory and Superelasticity 9 (1), 144-155, 2023 | 6 | 2023 |
| Split-vacancy defect complexes of oxygen in hcp and fcc cobalt SJ Honrao, Q Rizzardi, R Maaß, DR Trinkle, RG Hennig Physical Review Materials 4 (10), 103608, 2020 | 4 | 2020 |
| Coating material for cathode active material in lithium batteries S Kuwata, H Komatsu, M Sierhuis, BG Radhakrishnan, S Honrao, ... US Patent 11,522,213, 2022 | 2 | 2022 |
| Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach A Ravichandran, S Honrao, S Xie, E Fonseca, JW Lawson The Journal of Physical Chemistry Letters 15 (1), 121-126, 2023 | 1 | 2023 |
| Method and System for Material Screening A Park, T Han, S Kuwata, M Sierhuis, X Yang, A Ohma, ... US Patent App. 16/587,937, 2021 | 1 | 2021 |
| High-Throughput Screening of Li Solid-State Electrolytes with Bond Valence Methods and Machine Learning SR Xie, SJ Honrao, JW Lawson Chemistry of Materials, 2024 | | 2024 |
| Screening of Li-Based Solid Electrolytes Using Bond-Valence Methods and Graph Neural Networks SR Xie, SJ Honrao, JW Lawson 153rd Annual Meeting and Exhibition of the Minerals, Metals & Materials …, 2024 | | 2024 |
| High-Throughput Screening of Li Solid-State Electrolytes With Bond Valence Methods and Graph Neural Networks SR Xie, SJ Honrao, JW Lawson TMS 153rd Annual Meeting & Exhibition, 2024 | | 2024 |
| A Combined Machine Learning and Thermodynamic Modeling Approach for Designing Low Melting Molten Salt Eutectics A Ravichandran, S Honrao, S Xie, E Fonseca, JW Lawson 2023 AIChE Annual Meeting, 2023 | | 2023 |
Richard G. HennigUniversity of Florida在 ufl.edu 的电子邮件经过验证
