Superlight inverse Doppler effect by Shi, Xihang, Lin, Xiao, Kaminer, Ido, Gao, Fei, Yang, Zhaoju, Joannopoulos, John D., Soljačić, Marin, Zhang, Baile

“…It has long been thought that the inverse Doppler frequency shift of light is impossible in homogeneous systems with a positive refractive index. …”
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Parametric inversion of spin currents in semiconductor microcavities by Flayac, H., Solnyshkov, D. D., Malpuech, G., Shelykh, Ivan A.

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Rupture kinematics of the 2005 Mw 8.6 Nias-Simeulue earthquake from the joint inversion of seismic and geodetic data by Konca, A. Ozgun, Hjorleifsdottir, Vala, Song, Alex Teh-Ru, Avouac, Jean-Philippe, Ji, Chen, Sieh, Kerry, Helmberger, Don V., Briggs, Richard W., Meltzner, Aron J.

“…Based on the excitation of the normal mode data and geodetic data we put relatively tight constraints on the seismic moment and the fault dip, where the dip is determined to be 8° to 10° with corresponding moments of 1.24 × 10^22 to 1.00 × 10^22 N m, respectively. …”
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Nonreciprocal phenomena in superconductivity by Davydova, Marharyta

“…These include current rectification in normal metal-nonreciprocal superconductor junctions and the Josephson diode effect, for which we propose a simple and universally applicable mechanism. …”
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An analysis of contact stiffness and frictional receding contacts by Parel, KS

“…An equivalent surface roughness parameter is defined for two surfaces in contact; and the normal contact stiffness for ground surfaces is observed to be inversely proportional to this parameter. …”

Advanced mathematical methods / by Ostaszewski, Adam, author 656193

Quantum spin Hall effect and topological phase transition in InNxBiySb1−x−y/InSb quantum wells by Song, Zhigang, Bose, Sumanta, Fan, Weijun, Zhang, Dao Hua, Zhang, Yan Yang, Li, Shu Shen

“…Phase diagram for bandgap shows that as we increase the QW thickness, at a critical thickness, the electronic bandstructure switches from a normal to an inverted type. We confirm that such transition are topological phase transitions between a traditional insulator and a TI exhibiting QSH effect—by demonstrating the topologically protected edge-states using the bandstructure, edge-localized distribution of the wavefunctions and edge-state spin-momentum locking phenomenon, presence of non-zero conductance in spite of the Fermi energy lying in the bandgap window, crossover points of Landau levels in the zero-mode indicating topological band inversion in the absence of any magnetic field and presence of large Rashba spin-splitting, which is essential for spin-manipulation in TIs.…”
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Smile challenger by Ang, Shi Chao

“…A smile is a form of facial expression that are normally closely associated with happiness. Given that a smile can be measured, can we measure happiness and turn it into a fun Smile Challenger game? …”
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Testosterone, sex hormone-binding globulin, insulin-like growth factor-1 and endometrial cancer risk: observational and Mendelian randomization analyses by Mullee, A, Dimou, N, Allen, N, O'Mara, T, Gunter, MJ, Murphy, N

“…An inverse association was found for SHBG (HR per unit inverse normal scale = 0.76, 95% CI = 0.67–0.86). …”

Spinel manganese ferrites for oxygen electrocatalysis : effect of Mn valency and occupation site by Zhou, Ye, Du, Yonghua, Xi, Shibo, Xu, Jason Zhichuan

“…Convinced by the leading role of octahedral-geometric, we further reveal the role of Mn oxidation state through normalizing the activity to active Mn[Oh] site number. …”
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…The proposed PINN method combines deep learning and physical principles to predict the temperature distributions in breast tissues and identify potential abnormal regions indicating the presence of tumors. The PINN model is normally trained by physics in terms of the residuals of the heat transfer equation, as well as boundary conditions with and without datasets of surface thermal imaging data concerning cancerous breast tissues, which can be used for future inverse thermal modeling to calculate tumor sizes and locations. …”
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The bending-stretching effect of a nonlinear elastic beam under finite deformation by Wu, Mao See

“…The displacements are dependent on the square of the inverse of elastic constant, whereas the stresses on the inverse of elastic constant. …”
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Phase measurements based indoor visible light positioning systems by Zhang, Sheng

“…In this thesis, our first concern on the classical PDOA systems is the use of local oscillators (LOs). The LOs normally use hardware devices and the modulation frequencies are constrained by the multiples (harmonics) of a fundamental LO’s frequency. …”
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GPU-Oriented Algorithms for Continuous Energy Monte Carlo Neutron Transport by Ridley, Gavin

“…Through three asymptotic arguments covering different resonant behavior regimes, we show that the normal inverse Gaussian distribution is the natural choice for modeling the total neutron cross-section distribution. …”
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Soundfield control using loudspeaker array by Li, Renshi

“…Unlike existing LS methods, the proposed approach estimates the system matrix inverse iteratively and identifies the best estimate of the matrix inverse. …”
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Half-body portrait relighting with overcomplete lighting representation by Song, Guoxian, Cham, Tat-Jen, Cai, Jianfei, Zheng, Jianmin

“…Rather than following classical inverse rendering methodology that involves estimating normals, albedo and environment maps, we implicitly encode the subject and lighting in a latent space, and use these latent codes to generate relighted images by neural rendering. …”
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Spin-UP: spin light for natural light uncalibrated photometric stereo by Li, Zongrui, Lu, Zhan, Yan, Haojie, Shi, Boxin, Pan, Gang, Zheng, Qian, Jiang, Xudong

“…The proposed method uses a novel setup that captures the object's images on a rotatable platform, which mitigates NaUPS's ill-posedness by reducing unknowns and provides reliable priors to alleviate NaUPS's ambiguities. Leveraging neural inverse rendering and the proposed training strategies, Spin-UP recovers surface normals, environment light, and isotropic reflectance under complex natural light with low computational cost. …”
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