Department of Materials, Imperial College London, London SW7 2AZ, United Kingdom Materials and Structures Laboratory, Institute of Integrated Research, Institute of Science Tokyo, R3-7, 4259 Nagatsuta ...
3DThesis is a C++ application that quickly simulates transient temperature fields in an additive manufacturing component. It uses an analytical solution for a moving Gaussian heat source on a fixed ...
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 ...
Generating synthetic locomotory and neural data is a useful yet cumbersome step commonly required to study theoretical models of the brain’s role in spatial navigation. This process can be time ...
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Normative and mechanistic model of an adaptive circuit for efficient encoding and feature extraction
The brain represents information with neural activity patterns. At the periphery, these patterns contain correlations, which are detrimental to stimulus discrimination. We study the peripheral ...
Physics-Informed Neural Networks (PINN) emerged as a powerful tool for solving scientific computing problems, ranging from the solution of Partial Differential Equations to data assimilation tasks.
Designing anisotropic porous bone scaffolds using a self-learning convolutional neural network model
The design of bionic bone scaffolds to mimic the behaviors of native bone tissue is crucial in clinical application, but such design is very challenging due to the complex behaviors of native bone ...
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