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2020 – today
- 2024
[j2]Hyuna Kwon
, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Vincenzo Lordi, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham:
Spectroscopy-guided discovery of three-dimensional structures of disordered materials with diffusion models. Mach. Learn. Sci. Technol. 5(4): 45037 (2024)- [c2]Deyu Lu, Yiyin Wang, Lingya Liu, Xiaoli Ma:
Channel Estimation for MIMO-OCDM with Fresnel Domain Pilots. ICC 2024: 3128-3133 - [i5]Shubha R. Kharel, Fanchen Meng, Xiaohui Qu, Matthew R. Carbone, Deyu Lu:
A Universal Deep Learning Framework for Materials X-ray Absorption Spectra. CoRR abs/2409.19552 (2024) - 2023
- [j1]Matthew R. Carbone, Fanchen Meng, Christian Vorwerk, Benedikt Maurer, Fabian Peschel, Xiaohui Qu, Eli Stavitski, Claudia Draxl, John Vinson, Deyu Lu:
Lightshow: a Python package for generating computational x-ray absorption spectroscopy input files. J. Open Source Softw. 8(87): 5182 (2023) - [c1]Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam, Deyu Lu:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. ICMLA 2023: 800-807 - [i4]Zhu Liang, Matthew R. Carbone, Wei Chen, Fanchen Meng, Eli Stavitski, Deyu Lu, Mark S. Hybertsen, Xiaohui Qu:
Decoding Structure-Spectrum Relationships with Physically Organized Latent Spaces. CoRR abs/2301.04724 (2023) - [i3]Wei Chen, Yihui Ren, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Johannes Jacobus Van Dam, Deyu Lu:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. CoRR abs/2308.01921 (2023) - [i2]Hyuna Kwon, Tim Hsu, Wenyu Sun, Wonseok Jeong, Fikret Aydin, James Chapman, Xiao Chen, Matthew R. Carbone, Deyu Lu, Fei Zhou, Tuan Anh Pham:
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models. CoRR abs/2312.05472 (2023) - 2021
- [i1]Cole Miles, Matthew R. Carbone, Erica J. Sturm, Deyu Lu, Andreas Weichselbaum, Kipton Barros, Robert M. Konik:
Machine-learning Kondo physics using variational autoencoders. CoRR abs/2107.08013 (2021)
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