16 citations · 16 across the 3 of their papers we have counts for
3 papers
Single Step Phase Optimisation for Coherent Beam Combination using Deep Learning
Ben Mills, James A. Grant-Jacob, Matthew Praeger +3
Coherent beam combination of multiple fibres can be used to overcome limitations such as the power handling capability of single fibre configurations. In such a scheme, the focal i…
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments
Matthew Praeger, Yunhui Xie, James A. Grant-Jacob +2
Reinforcement learning was carried out in a simulated environment to learn continuous velocity control over multiple motor axes. This was then applied to a real-world optical tweez…
Modeling adult skeletal stem cell response to laser-machined topographies through deep learning
Benita S. Mackay, Matthew Praeger, James A. Grant-Jacob +4
The response of adult human bone marrow stromal stem cells to surface topographies generated through femtosecond laser machining can be predicted by a deep neural network. The netw…