| Polydopamine and eumelanin: From structure–property relationships to a unified tailoring strategy M d’Ischia, A Napolitano, V Ball, CT Chen, MJ Buehler Accounts of chemical research 47 (12), 3541-3550, 2014 | 614 | 2014 |
| Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment GX Gu, CT Chen, DJ Richmond, MJ Buehler Materials Horizons 5 (5), 939-945, 2018 | 499 | 2018 |
| De novo composite design based on machine learning algorithm GX Gu, CT Chen, MJ Buehler Extreme Mechanics Letters 18, 19-28, 2018 | 421 | 2018 |
| Generative deep neural networks for inverse materials design using backpropagation and active learning CT Chen, GX Gu Advanced Science 7 (5), 1902607, 2020 | 286 | 2020 |
| Machine learning for composite materials CT Chen, GX Gu MRs Communications 9 (2), 556-566, 2019 | 284 | 2019 |
| Excitonic effects from geometric order and disorder explain broadband optical absorption in eumelanin CT Chen, C Chuang, J Cao, V Ball, D Ruch, MJ Buehler Nature communications 5 (1), 3859, 2014 | 204 | 2014 |
| Polydopamine and eumelanin molecular structures investigated with ab initio calculations CT Chen, FJ Martin-Martinez, GS Jung, MJ Buehler Chemical science 8 (2), 1631-1641, 2017 | 200 | 2017 |
| Ultrathin thermoresponsive self-folding 3D graphene W Xu, Z Qin, CT Chen, HR Kwag, Q Ma, A Sarkar, MJ Buehler, ... Science advances 3 (10), e1701084, 2017 | 189 | 2017 |
| Self-assembly of tetramers of 5, 6-dihydroxyindole explains the primary physical properties of eumelanin: Experiment, simulation, and design CT Chen, V Ball, JJ de Almeida Gracio, MK Singh, V Toniazzo, D Ruch, ... ACS nano 7 (2), 1524-1532, 2013 | 168 | 2013 |
| Dynamic pigmentary and structural coloration within cephalopod chromatophore organs TL Williams, SL Senft, J Yeo, FJ Martín-Martínez, AM Kuzirian, CA Martin, ... Nature communications 10 (1), 1004, 2019 | 144 | 2019 |
| Remarkably distinct mechanical flexibility in three structurally similar semiconducting organic crystals studied by nanoindentation and molecular dynamics R Devarapalli, SB Kadambi, CT Chen, GR Krishna, BR Kammari, ... Chemistry of Materials 31 (4), 1391-1402, 2019 | 98 | 2019 |
| Learning hidden elasticity with deep neural networks CT Chen, GX Gu Proceedings of the National Academy of Sciences 118 (31), e2102721118, 2021 | 71 | 2021 |
| Tuning heterogeneous poly (dopamine) structures and mechanics: in silico covalent cross-linking and thin film nanoindentation S Lin, CT Chen, I Bdikin, V Ball, J Grácio, MJ Buehler Soft matter 10 (3), 457-464, 2014 | 71 | 2014 |
| Effect of constituent materials on composite performance: exploring design strategies via machine learning CT Chen, GX Gu Advanced Theory and Simulations 2 (6), 1900056, 2019 | 67 | 2019 |
| Nacre-inspired design of graphene oxide–polydopamine nanocomposites for enhanced mechanical properties and multi-functionalities CT Chen, FJ Martin-Martinez, S Ling, Z Qin, MJ Buehler Nano Futures 1 (1), 011003, 2017 | 53 | 2017 |
| Nano-topology optimization for materials design with atom-by-atom control CT Chen, DC Chrzan, GX Gu Nature communications 11 (1), 3745, 2020 | 41 | 2020 |
| Polydopamine and eumelanin models in various oxidation states CT Chen, MJ Buehler Physical Chemistry Chemical Physics 20 (44), 28135-28143, 2018 | 36 | 2018 |
| Molecular mechanics of elastic and bendable caffeine co-crystals CT Chen, S Ghosh, CM Reddy, MJ Buehler Physical Chemistry Chemical Physics 16 (26), 13165-13171, 2014 | 34 | 2014 |
| Physics‐informed deep‐learning for elasticity: forward, inverse, and mixed problems CT Chen, GX Gu Advanced Science 10 (18), 2300439, 2023 | 31 | 2023 |
| Mechanical Training‐Driven Structural Remodeling: A Rational Route for Outstanding Highly Hydrated Silk Materials T Shu, Z Lv, CT Chen, GX Gu, J Ren, L Cao, Y Pei, S Ling, DL Kaplan Small 17 (33), 2102660, 2021 | 27 | 2021 |
Markus J. BuehlerMassachusetts Institute of TechnologyVerified email at MIT.EDU
