Applications of QSPR and Machine Learning in Molecular Photonics
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
wiley +1 more source
Elements of the Theory of Generalized Inverses of Matrices
Randall E. Cline
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Persistent Luminescence Analysis in the Frequency Domain
A frequency‐domain framework is introduced to characterize persistent luminescence materials. This method surpasses the limitations of time‐domain techniques and provides a new approach to understanding and optimizing the photophysical behavior of complex luminescent systems involving processes with different temporal dynamics.
Manuel Romero +4 more
wiley +1 more source
Smart Theremin Based on Electromagnetic Metasurfaces for Fine Dual‐Hand Perception
The proposed Meta‐Theremin leverages a frequency‐spatial multiplexing metasurface to enable robust dual‐hand perception by shielding environmental noise and confining EM fields to interaction zones. Its physics‐informed neural network decouples hand‐specific echoes, enhancing accuracy.
Che Liu +8 more
wiley +1 more source
Exploring the causal effects of epilepsy and its subtypes on anthropometric traits: A 2-sample Mendelian randomization study. [PDF]
Chen L, Hu X, Wu M, Zeng Z, Wang Y.
europepmc +1 more source
Advanced Emissivity Tuning Via Femtosecond Laser Surface Engineering
Femtosecond laser surface processing (FLSP) is employed to fabricate titanium‐based metamaterials with engineered micro/nano‐scale features that exhibit spectrally selective and omnidirectional thermal emissivity. By integrating advanced ellipsometry, electromagnetic modeling, and compositional analysis, the work reveals resonance‐driven emissivity ...
Zahra Kamali Khanghah +8 more
wiley +1 more source
Physics-Informed Neural Network-Based Inverse Framework for Time-Fractional Differential Equations for Rheology. [PDF]
Thakur S, Mitra H, Ardekani AM.
europepmc +1 more source
Bezoutians of polynomial matrices and their generalized inverses
Hȧrald K. Wimmer
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Lagrangian mechanics, Gauss’ principle, quadratic programming, and generalized inverses: new equations for non-holonomically constrained discrete mechanical systems [PDF]
Robert E. Kalaba, Firdaus E. Udwadia
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