Researchers at Stanford University, UCLA, and the SLAC National Accelerator Laboratory have developed an artificial intelligence system capable of simulating complex laser interactions roughly 250 times faster than conventional methods, according to the team's findings. The system predicts how laser pulses behave inside specialized crystals within milliseconds, a process that previously required substantially more computing time. Notably, the researchers report that the dramatic speed gain comes with only minimal loss of accuracy, a trade-off they describe as acceptable for many scientific applications.
The breakthrough could significantly enhance the precision and efficiency of powerful X-ray lasers, instruments central to advanced research in materials science, biology, and chemistry. By enabling rapid prediction of laser pulse behavior, the AI approach may allow scientists to fine-tune experiments more quickly and make better use of limited beam time at major research facilities. The work adds to a growing body of research applying machine learning to accelerate scientific simulation, though the team notes that further validation will be needed before the system is adopted for routine experimental use.
Independent reporting synthesized from primary wires and global correspondents.