Bensafi Toufik

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How does nonlinearity reshape topologically protected light states?

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Can AI-driven nonlinear optical systems self-adapt in real time — creating self-learning optical circuits?

Limits of AI + NLO Hybrid Systems: Machine learning is now used to design photonic structures and interpret spectra.

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Can we predict or control these extreme events? Are they governed by universal laws across optics, fluids, and quantum fields?

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How can photoredox and electrochemical methods be expanded for new C–H activation and cross-coupling strategies under mild conditions?

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Can AI algorithms deconvolute overlapping UV/Vis spectra in complex mixtures to identify and quantify individual components in real-time?

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What is the potential of generative AI to design novel molecules with target UV/Vis absorption profiles?

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Can AI link quantum chemistry predictions to real-world spectroscopy data?

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How Can AI Be Integrated with Traditional Quantum Chemistry?

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What are the main limitations of Time-Dependent Density Functional Theory (TD-DFT) in modeling excited-state phenomena and how can these be addressed?

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What are DFT failures? Look for papers that investigated this point in an orderly and deep way ?

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How can machine learning and artificial intelligence enhance DFT predictions?

How can modern advancements in machine learning and hybrid functionals help overcome the intrinsic failures of Density Functional Theory (DFT) in accurately describing strongly correlated systems...

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