Proof of principle study using a machine learning algorithm to actively sample the operating parameter space of a complex laser system, in real-time, to find the boundaries between differentiated dynamical regions efficiently.2 page(s
We have analysed large data sets consisting of tens of thousands of time series from three Type B la...
Femtosecond laser ablation can enable extremely high precision materials processing, as multiphoton ...
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
We analyze a new kind of machine learning algorithm designed to feedback stabilize coherently combin...
International audienceRecent years have seen the rapid growth and development of the field of smart ...
The validation of a theory is commonly based on appealing to clearly distinguishable and describable...
The present Dissertation is focused on the analysis of the atmospheric conditions of a turbulent env...
Recent advances in the field of deep learning have unlocked an abundance of exciting novel scientifi...
Several fields of study are concerned with uniting the concept of computation with that of the desig...
Several fields of study are concerned with uniting the concept of computation with that of the desig...
Forecasting the dynamics of chaotic systems from the analysis of their output signals is a challengi...
Laser machining can depend on the combination of many complex and nonlinear physical processes. Simu...
The interaction between light and matter during laser machining is particularly challenging to model...
Interactions between light and matter during short-pulse laser materials processing are highly nonli...
Neural networks and other machine learning algorithms are beginning to be used in ultra-intense lase...
We have analysed large data sets consisting of tens of thousands of time series from three Type B la...
Femtosecond laser ablation can enable extremely high precision materials processing, as multiphoton ...
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
We analyze a new kind of machine learning algorithm designed to feedback stabilize coherently combin...
International audienceRecent years have seen the rapid growth and development of the field of smart ...
The validation of a theory is commonly based on appealing to clearly distinguishable and describable...
The present Dissertation is focused on the analysis of the atmospheric conditions of a turbulent env...
Recent advances in the field of deep learning have unlocked an abundance of exciting novel scientifi...
Several fields of study are concerned with uniting the concept of computation with that of the desig...
Several fields of study are concerned with uniting the concept of computation with that of the desig...
Forecasting the dynamics of chaotic systems from the analysis of their output signals is a challengi...
Laser machining can depend on the combination of many complex and nonlinear physical processes. Simu...
The interaction between light and matter during laser machining is particularly challenging to model...
Interactions between light and matter during short-pulse laser materials processing are highly nonli...
Neural networks and other machine learning algorithms are beginning to be used in ultra-intense lase...
We have analysed large data sets consisting of tens of thousands of time series from three Type B la...
Femtosecond laser ablation can enable extremely high precision materials processing, as multiphoton ...
There has been much heard that biolasers has full applications in medicine, communications, imaging,...
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