Machine learning and applications in ultrafast photonics
Recent years have seen the rapid growth and development of the field of smart photonics,
where machine-learning algorithms are being matched to optical systems to add new …
where machine-learning algorithms are being matched to optical systems to add new …
[HTML][HTML] The past, present and future of photonic glasses: A review in homage to the United Nations International Year of glass 2022
Since the invention and further development of lasers in the 1960s, photonics has grown
into a field that permeates virtually every aspect of modern life. As photonics deals with the …
into a field that permeates virtually every aspect of modern life. As photonics deals with the …
Deep learning in nano-photonics: inverse design and beyond
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential
for inverse design of photonic devices or nano-structures. Many of the recent works on …
for inverse design of photonic devices or nano-structures. Many of the recent works on …
Rogue waves and analogies in optics and oceanography
Over a decade ago, an analogy was drawn between the generation of large ocean waves
and the propagation of light fields in optical fibres. This analogy drove numerous …
and the propagation of light fields in optical fibres. This analogy drove numerous …
[HTML][HTML] Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
C Selvaraj, I Chandra, SK Singh - Molecular diversity, 2021 - Springer
The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …
development as intractable and hot research. Developing new drug molecules to overcome …
Intelligent breathing soliton generation in ultrafast fiber lasers
Harnessing pulse generation from an ultrafast laser is a challenging task as reaching a
specific mode‐locked regime generally involves adjusting multiple control parameters, in …
specific mode‐locked regime generally involves adjusting multiple control parameters, in …
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons
We study artificial neural networks with nonlinear waves as a computing reservoir. We
discuss universality and the conditions to learn a dataset in terms of output channels and …
discuss universality and the conditions to learn a dataset in terms of output channels and …
Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network
The propagation of ultrashort pulses in optical fibre plays a central role in the development
of light sources and photonic technologies, with applications from fundamental studies of …
of light sources and photonic technologies, with applications from fundamental studies of …
[HTML][HTML] A framework for biosensors assisted by multiphoton effects and machine learning
The ability to interpret information through automatic sensors is one of the most important
pillars of modern technology. In particular, the potential of biosensors has been used to …
pillars of modern technology. In particular, the potential of biosensors has been used to …
Extreme events in dynamical systems and random walkers: A review
Extreme events gain the attention of researchers due to their utmost importance in various
contexts ranging from climate to brain. An observable that deviates significantly from its long …
contexts ranging from climate to brain. An observable that deviates significantly from its long …