"Tailored Ultrashort Pulse Bursts in a Gain-Managed Nonlinear Fiber Amplifier for Coherent 50fs Pulse Stacking at mJ Energies" - Lauren Cooper (Electrical Engineering and Scientific Computing)
"Leveraging multipole models to measure rotation in time-dependent potentials" - Neil Ash (Astronomy and Scientific Computing)
"Tracing rocky material in protoplanetary disks" - Marbely Micolta (Astronomy and Scientific Computing)
"Improving Slater Orbital Integration Accuracy through Prolate Spheroidal Coordinates" - Alexander Stark (Chemistry and Scientific Computing)
"Multiscale Modeling of Radical and Vibrational Pathways in Plasma-Assisted Ammonia Synthesis on Fe(110) and Ni(111)" - Oluwatosin Ohiro (Chemical Engineering and Scientific Computing)
"Quantifying the state of inflammation in invasive lobular breast cancer using a one-class logistic regression algorithm" - Kate Griffin (Biomedical Engineering and Scientific Computing)
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)
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)
Jun Fang (Political Science and Scientific Computing)
Esther Lee (Health Behavior & Health Equity and Scientific Computing)
Ganlin Chen (Materials Science and Engineering and Scientific Computing)