Understanding of the extremely low thermal conductivity in high‐performance polycrystalline SnSe through potassium doping YX Chen, ZH Ge, M Yin, D Feng, XQ Huang, W Zhao, J He Advanced Functional Materials 26 (37), 6836-6845, 2016 | 250 | 2016 |
Assessing printability maps in additive manufacturing of metal alloys L Johnson, M Mahmoudi, B Zhang, R Seede, X Huang, JT Maier, ... Acta Materialia 176, 199-210, 2019 | 239 | 2019 |
Finite interface dissipation phase field modeling of Ni–Nb under additive manufacturing conditions K Karayagiz, L Johnson, R Seede, V Attari, B Zhang, X Huang, S Ghosh, ... Acta Materialia 185, 320-339, 2020 | 142 | 2020 |
Origin of the enhancement in transport properties on polycrystalline SnSe with compositing two-dimensional material MoSe2 XQ Huang, YX Chen, M Yin, D Feng, J He Nanotechnology 28 (10), 105708, 2017 | 24 | 2017 |
Back razor: Memory-efficient transfer learning by self-sparsified backpropagation Z Jiang, X Chen, X Huang, X Du, D Zhou, Z Wang Advances in neural information processing systems 35, 29248-29261, 2022 | 15 | 2022 |
Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys S Sheikh, B Vela, V Attari, X Huang, P Morcos, J Hanagan, C Acemi, ... Materials Research Letters 12 (4), 235-263, 2024 | 11 | 2024 |
A printability assessment framework for fabricating low variability nickel-niobium parts using laser powder bed fusion additive manufacturing B Zhang, R Seede, A Whitt, D Shoukr, X Huang, I Karaman, R Arroyave, ... Rapid Prototyping Journal 27 (9), 1737-1748, 2021 | 11 | 2021 |
Hybrid microstructure-defect printability map in laser powder bed fusion additive manufacturing X Huang, R Seede, K Karayagiz, B Zhang, I Karaman, A Elwany, ... Computational Materials Science 209, 111401, 2022 | 10 | 2022 |
Pushing the envelope of dynamic spatial gating technologies X Huang, U Thakker, D Gope, J Beu Proceedings of the 2nd International Workshop on Challenges in Artificial …, 2020 | 7 | 2020 |
A comparative study of Kim-Kim-Suzuki (KKS), Partition Coefficient Relaxation (PCR), and Finite Interface Dissipation (FID) phase field models for rapid solidification X Huang, J Berry, A Perron, R Arróyave Additive Manufacturing 74, 103704, 2023 | 6 | 2023 |
CE-PeopleSeg: Real-time people segmentation with 10% CPU usage for video conference Z Jiang, Z He, X Huang, Z Yang, P Tan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 4 | 2021 |
Predictive microstructure distribution and printability maps in laser powder bed fusion for a Ni–Cu alloy X Huang, R Seede, K Karayagiz, A Whitt, B Zhang, J Ye, I Karaman, ... Computational Materials Science 231, 112605, 2024 | 3 | 2024 |
Corrigendum to “A comparative study of Kim-Kim-Suzuki (KKS), Partition Coefficient Relaxation (PCR), and Finite Interface Dissipation (FID) phase field models for rapid … X Huang, J Berry, A Perron, R Arróyave Additive Manufacturing 79, 103846, 2024 | | 2024 |
Appendix for Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation Z Jiang, X Chen, X Huang, X Du, D Zhou, Z Wang | | |