tmmax is a high-performance computational library designed for efficient calculation of optical properties in multilayer thin-film structures. Engineered to serve as a Swiss Army knife tool for ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

"Our method can now forego any numerical computations and program the shear deformation of a kirigami specimen at will in a swift, versatile manner." To demonstrate the potential of their inverse ...

Recently, the ConFIG method has also been applied to train physics-constrained generative models: Flow Matching Meets PDEs: A Unified Framework for Physics ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

We present a systematic derivation of three mathematical models of increasing complexity for optical design, based on Hamilton’s characteristic functions and conservation of luminous flux, and briefly ...

Is this real life? Is this just fantasy? A growing number of scientists are suggesting that the idea that we are all living in a simulation may not be completely far-fetched. Simulation theory is the ...

In a study published in Engineering, researchers from Nanjing University of Aeronautics and Astronautics and Zhejiang University have unveiled a pioneering approach to designing on-chip computational ...

Strongly Correlated Systems Lendület Research Group, Wigner Research Centre for Physics, H-1525 Budapest, Hungary ...