| Ultra-high thermal effusivity materials for resonant ambient thermal energy harvesting AL Cottrill, AT Liu, Y Kunai, VB Koman, A Kaplan, SG Mahajan, P Liu, ... Nature communications 9 (1), 664, 2018 | 158 | 2018 |
| Ultra-high thermal effusivity materials for resonant ambient thermal energy harvesting. Nat Commun 9: 664 AL Cottrill, AT Liu, Y Kunai, VB Koman, A Kaplan, SG Mahajan, P Lui, ... | 158 | 2018 |
| Microscale solid-state thermal diodes enabling ambient temperature thermal circuits for energy applications S Wang, AL Cottrill, Y Kunai, AR Toland, P Liu, WJ Wang, MS Strano Physical Chemistry Chemical Physics 19 (20), 13172-13181, 2017 | 45 | 2017 |
| Modulating polymerization thermodynamics of thiolactones through substituent and heteroatom incorporation KA Stellmach, MKK Paul, M Xu, YL Su, L Fu, AR Toland, H Tran, L Chen, ... ACS Macro Letters 11 (7), 895-901, 2022 | 37 | 2022 |
| Database, Features, and Machine Learning Model to Identify Thermally Driven Metal–Insulator Transition Compounds AB Georgescu, P Ren, AR Toland, S Zhang, KD Miller, DW Apley, ... Chemistry of Materials 33 (14), 5591-5605, 2021 | 34 | 2021 |
| Polymer Informatics at Scale with Multitask Graph Neural Networks R Gurnani, C Kuenneth, A Toland, R Ramprasad Chemistry of Materials 35 (4), 1560-1567, 2023 | 25 | 2023 |
| Toward recyclable polymers: ring-opening polymerization enthalpy from first-principles H Tran, A Toland, K Stellmach, MKK Paul, W Gutekunst, R Ramprasad The Journal of Physical Chemistry Letters 13 (21), 4778-4785, 2022 | 14 | 2022 |
| May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations R Feng, Q Zhu, H Tran, B Chen, A Toland, R Ramprasad, C Zhang arXiv preprint arXiv:2308.14759, 2023 | 5 | 2023 |
| Accelerated Scheme to Predict Ring-Opening Polymerization Enthalpy: Simulation-Experimental Data Fusion and Multitask Machine Learning A Toland, H Tran, L Chen, Y Li, C Zhang, W Gutekunst, R Ramprasad The Journal of Physical Chemistry A, 2023 | 3 | 2023 |
| A Database and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds AB Georgescu, P Ren, AR Toland, EA Olivetti, N Wagner, JM Rondinelli arXiv preprint arxiv:2010.13306, 2020 | 2 | 2020 |
| PolyGET: Accelerating Polymer Simulations by Accurate and Generalizable Forcefield with Equivariant Transformer R Feng, H Tran, A Toland, B Chen, Q Zhu, R Ramprasad, C Zhang arXiv preprint arXiv:2309.00585, 2023 | 1 | 2023 |
| A Machine Learning Model and Database for The Identification of New Metal-Insulator Transition Compounds AB Georgescu, P Ren, A Toland, N Wagner, E Olivetti, J Rondinelli APS March Meeting Abstracts 2021, S44. 006, 2021 | | 2021 |
