In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
A new study published in Nature Communications has shown that in the asymptotic limit, extracting the maximum possible work ...
Chawla, A. (2026) On the Black Hole Information Loss Paradox under a Novel Phenomenological Model of Quantum Measurements.
A simple random sample is a subset of a statistical population where each member of the population is equally likely to be ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Abstract: This study presents a numerical homogenization model to predict the effective nonlinear behavior of highly heterogeneous electropermanent magnet (EPM) composites. EPM composites consist of ...
New research published in journals of the American Meteorological Society suggests that hurricane trends may become less predictable, discusses the limits of machine-learning weather forecasts, ...
Abstract: Tunnel seismic prediction (TSP) plays a critical role in ensuring the safety of tunnel construction; however, traditional methodologies encounter challenges related to detection range, ...
0 0.000000e+00 1.000000e+00 5.000000e-01 4.367003e+00 0.000000e+00 40 6.613070e-02 8.809677e-01 6.697605e-01 4.367003e+00 1.243450e-14 80 1.362437e-01 7.323145e-01 8.272908e-01 4.367003e+00 ...
0 0.000000e+00 5.000000e-01 1.648721e+00 0.000000e+00 0.000000e+00 40 4.017479e-02 4.358643e-01 1.546299e+00 1.491851e-11 -1.024223e-01 80 8.070185e-02 3.750826e-01 1.455112e+00 2.556544e-11 ...