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Questions related from Bensafi Toufik
Nonlinear Topological Photonics
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Limits of AI + NLO Hybrid Systems: Machine learning is now used to design photonic structures and interpret spectra.
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Rogue waves, modulational instability, and soliton explosions appear in nonlinear systems.
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C–H bonds are everywhere but are “inert.” If we could control them universally, synthesis would become simpler, faster, and greener.
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Right now, even with DFT and AI, we can’t guarantee selectivity in complex, polyfunctional molecules.
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Most NLO theory is based on perturbation expansions (χ(2), χ(3), etc.).
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Classical nonlinear optics works at high photon numbers; quantum optics works at single/few photons.
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Quantum Geometry → Nonlinear Response
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Can laser-driven bond activation in donor–π–acceptor chromophores reversibly tune their nonlinear optical response? Which mechanisms—such as bond isomerisation, conformational switching, or...
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In lanthanide-doped nanocrystals exhibiting photon avalanche effects, what are the dominant factors controlling the threshold intensity for avalanche initiation, and how can energy transfer...
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Acetylated sugar,
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Photoredox and Electroorganic Chemistry
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Bridges bioorganic chemistry and synthetic methodology
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Mechanochemistry
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UV/Vis Spectroscopy and AI
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AI and DFT results
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AI and traditional optimization techniques
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AI
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AI models predict instantaneous dipole moments
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AI capture dynamic effects
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AI and quantum chemistry predictions
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AI and quantum chemistry
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AI and Quantum Chemistry!!
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AI in quantum mechanical methods
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TD-DFT
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DFT failures
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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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DFT describe non-covalent interactions
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Can AI fully replace traditional quantum chemistry methods while maintaining accuracy, interpretability, and generalizability?
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