 | “Deep Learning for Imaging course winners for best project performance”
Sven Becker, Ekrem Yüksel, Enes Demirtas, Ilker Oguz, Demetri Psaltis |
| |
 | Physics-informed neural networks for diffraction tomography
|
| |
 | Photo with Professor Tegin and his wife in Boston! |
| |
 | Ahmed becomes Dr. Ahmed ! |
| |
 | Congratulations to Ahmed who passed his private defense. |
| |
| MaxwellNet: Physics-driven deep neural network training based on Maxwell’s equations
|
| |
 | New job oportunity :
Open Positions |
| |
 | “High-speed, complex wavefront shaping using the digital micro-mirror device” |
| |
 | Giulia becomes Dr. Panusa! |
| |
 | “Optical computing article published in Nature Computational Science” |
| |
 | Ugur becomes Dr. Tegin! |
| |
| Congratulations to Ugur who passed his private defense. |
| |
| Congratulations to Giulia who passed her private defense. |
| |
| LO researchers demonstrated a recurrent neural network can learn complex spatiotemporal nonlinear propagation and can replace time-consuming, heavy simulations” |
| |
| “The porous wall electrolyzer utilizes two porous walls between nucleation sites that improves product separation” |
| |
| |
| |
| |
| |
| |
| “Learning to predict optical transmission from reflected light in single and multiple scattering regimes by using neural networks” |
