Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

The most comprehensive, family-based variant dataset ever published will improve variant classification using AI-based tools MENLO PARK, Calif., Aug. 04, 2025 (GLOBE NEWSWIRE) -- PacBio (NASDAQ: PACB) ...

We introduce a self-guided, interactive JupyterLab to familiarize undergraduate students with introductory quantum mechanics concepts. In the lab, the linear variational method is applied to a ...

PolaronMobility.jl is a Julia package which calculates the temperature-dependent polaron mobility for a material. This is based on the Feynman variational solution to the Polaron problem. The electron ...

The paper presents a topology optimization methodology for 2D elastodynamic problems using the boundary element method (BEM). The topological derivative is derived based on the variation method and ...

In the medical domain, substantial effort has been invested in generating internally valid estimates in experimental as well as observational studies, but limited effort has been made in testing ...

This is a package for the projected time-dependent Variational Monte Carlo (p-tVMC) method based on infidelity optimization for variational simulation of quantum dynamics. See the paper "Unbiasing ...