Showing 1 - 20 results of 99 for search 'physical optics', query time: 0.08s Refine Results
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    Physics for Scientists and Engineers with Modern physics / by Giancoli, Douglas C.

    Published 2008
    Table of Contents: “…Introduction, measurement, estimating -- Mechanics -- Describing motion -- Kinematics in two or three dimensions -- Dynamics -- Using Newton's laws -- Gravitation and Newton's synthesis -- Work and energy -- Conservation of energy -- Linear momentum -- Rotational motion -- Angular momentum -- Static equilibrium -- Fluids, vibrations, waves, sound -- Fluids -- Oscillations -- Wave motion -- Sound -- Kinetic theory and thermodynamics -- Temperature, thermal expansion, and the ideal gas law -- Kinetic theory of gases -- Heat and the first law of thermodynamics -- Second law of thermodynamics -- Electricity and magnetism -- Electric charge and electric field -- Gauss's law -- Electric potential -- Capacitance, dielectrics, electric energy storage -- Electric currents and resistance -- DC circuits -- Magnetism -- Sources of magnetic field -- Electromagnetic induction and faraday's Law -- Inductance, electromagnetic oscillations -- Maxwell's equations and electromagnetic waves -- Light -- Lenses and optical instruments -- The wave nature of light -- Diffraction and polarization -- Modern physics -- Special theory of relativity -- Early quantum theory and models of the atom -- Quantum mechanics -- Quantum mechanics of atoms -- Molecules and solids -- Nuclear physics and radioactivity -- Nuclear energy -- Elementary particles -- Astrophysics and cosmology.…”
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    Optical widefield nuclear magnetic resonance microscopy by Karl D. Briegel, Nick R. von Grafenstein, Julia C. Draeger, Peter Blümler, Robin D. Allert, Dominik B. Bucher

    Published 2025-02-01
    “…Crucially, each camera pixel records an NMR spectrum providing multicomponent information about the signal’s amplitude, phase, local magnetic field strengths, and gradients. The fusion of optical microscopy and NMR techniques enables multifaceted imaging applications in the physical and life sciences.…”
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    Electro-optic cavities for in-situ measurement of cavity fields by Michael S. Spencer, Joanna M. Urban, Maximilian Frenzel, Niclas S. Mueller, Olga Minakova, Martin Wolf, Alexander Paarmann, Sebastian F. Maehrlein

    Published 2025-02-01
    “…Here, we demonstrate a new concept of active cavities, consisting of electro-optic Fabry-Pérot resonators, which measure their intra-cavity electric fields on sub-cycle timescales. …”
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    Anisotropic nonlinear optical responses of Ta2NiS5 flake towards ultrafast logic gates and secure all-optical information transmission by Yan Lei, Gong Ziyao, He Qinyong, Shen Dechao, Ge Anping, Dai Ye, Ma Guohong, Sun Liaoxin, Zhang Saifeng

    Published 2024-10-01
    “…As one of the layered 2D materials, Ta2NiS5 exhibits high anisotropic mobility, exotic electrical response, and intriguing optical properties. Due to the low-symmetrical crystal structures, it possesses in-plane anisotropic physical properties. …”
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    Spin-bearing molecules as optically addressable platforms for quantum technologies by Kuppusamy Senthil Kumar, Hunger David, Ruben Mario, Goldner Philippe, Serrano Diana

    Published 2024-10-01
    “…Molecular systems that can feature electron and/or nuclear spin states together with optical transitions are one of the material platforms that can serve as optically addressable qubits. …”
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    Analyzing power errors in the optical pumping system of atomic spin comagnetometers by Jiale QUAN, Ye LIU, Longyan MA, Wenfeng FAN, Wei QUAN

    Published 2025-03-01
    “…They also play a crucial role in fundamental physics research, including testing Lorentz symmetry and charge–parity–time (CPT) symmetry, which are essential for understanding potential deviations from standard physical theories. …”
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    Deep empirical neural network for optical phase retrieval over a scattering medium by Huaisheng Tu, Haotian Liu, Tuqiang Pan, Wuping Xie, Zihao Ma, Fan Zhang, Pengbai Xu, Leiming Wu, Ou Xu, Yi Xu, Yuwen Qin

    Published 2025-02-01
    “…The DENN does not rely on labeled data, all while delivering as high as 58% improvement in fidelity compared with the supervised learning using 30000 data pairs for achieving the same goal of optical phase retrieval. The DENN might shed new light on the applications of deep learning in physics, information science, biology, chemistry and beyond.…”
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