6 papers
Measurement of directed flow of and resonances in Au+Au collisions at RHIC BES energies
Md Nasim
We report measurements of the directed flow () for charged kaons, mesons, and resonances in Au+Au collisions at = 14.5, 19.6, and 27 GeV. This a…
Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
Nan Jiang, Md Nasim, Yexiang Xue
The symbolic discovery of Ordinary Differential Equations (ODEs) from trajectory data plays a pivotal role in AI-driven scientific discovery. Existing symbolic methods predominantl…
Vertical Symbolic Regression via Deep Policy Gradient
Nan Jiang, Md Nasim, Yexiang Xue
Vertical Symbolic Regression (VSR) recently has been proposed to expedite the discovery of symbolic equations with many independent variables from experimental data. VSR reduces th…
Vertical Symbolic Regression
Nan Jiang, Md Nasim, Yexiang Xue
Automating scientific discovery has been a grand goal of Artificial Intelligence (AI) and will bring tremendous societal impact. Learning symbolic expressions from experimental dat…
End-to-end Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning
Md Nasim, Anter El-Azab, Xinghang Zhang +1
The availability of tera-byte scale experiment data calls for AI driven approaches which automatically discover scientific models from data. Nonetheless, significant challenges pre…
Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains
Md Nasim, Yexiang Xue
Accelerating the learning of Partial Differential Equations (PDEs) from experimental data will speed up the pace of scientific discovery. Previous randomized algorithms exploit spa…