Physical Mechanisms or Learned Patterns? Reconciling First-Principles Models with Machine Learning for Predictive Materials
 Radiation-hydrodynamics Modeling & Application to Prediction of Inertial Confinement Fusion Experiments
Katya Gozman (Astronomy and Scientific Computing)
Min-Chun Han (Civil and Environmental Engineering and Scientific Computing)
Jieling Jiang (Civil and Environmental Engineering and Scientific Computing)
Ankit Mathanker (Chemical Engineering and Scientific Computing)
Yujie Liu (Materials Science and Engineering and Scientific Computing)
Mikey Komaiha (Biomedical Engineering and Scientific Computing)
Accelerating Earth System Simulation
Aaresh Bhathena (Industrial and Operational Engineering and Scientific Computing)
Xiaofeng Dai (Chemistry and Scientific Computing)
Ruya Karagulle (Electrical and Computer Engineering and Scientific Computing)
Weihao Liu (Climate and Space Sciences and Engineering and Scientific Computing)
The 2026 Predictive Science Conference will bring together researchers in high-performance computing, verification and validation, uncertainty quantification, and artificial intelligence to discuss the state of the field of predictive science and its future outlook.
The 2026 Predictive Science Conference will bring together researchers in high-performance computing, verification and validation, uncertainty quantification, and artificial intelligence to discuss the state of the field of predictive science and its future outlook.
Thomas Coons (Mechanical Engineering and Scientific Computing)
Celia Kelly (Mechanical Engineering and Scientific Computing)
Liliang Wang (Aerospace Engineering and Scientific Computing)