In this paper, a solver is developed to obtain accurate analytical solutions for fractional partial differential equations based on artificial neural networks. By leveraging the powerful function ...
Hello, I'm Koma-san, a shut-in elite from the Department of Information and Communication Engineering at the University of Tokyo's Faculty of Engineering! This time, I would like to look back on the ...
Multiscale data remain exceptionally difficult to evaluate and characterize even for fields for which we have well-established physical laws or understanding. Modern grand challenge scientific ...
QMsolve seeks to provide a solid and easy to use solver, capable of solving the Schrödinger equation for one and two particles, and creating descriptive and stunning visualizations of its solutions ...
Gerard, L., Scherbela, M., Sutterud, H., Foulkes, M. and Grohs, P. Please cite the respective publication when using our codebase. On figshare we store checkpoints for: A pre-trained PhisNet ...
We present a tool, one that is both a stand-alone web-based video game and a Python package, designed for students to explore a particle’s wave function on one-dimensional potential surfaces. The tool ...
Machine learning (ML) is generally defined as data-driven technology mimicking intelligent human abilities, which bit by bit upgrades its accuracy from experience. It starts with gathering massive ...
We present and analyze large-scale simulation results of a hybrid quantum-classical variational method to calculate the ground state energy of the anti-ferromagnetic Heisenberg model. Using a ...
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