In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

Physicists are using quantum computers to simulate high-intensity electromagnetic interactions to test the limits of light ...

Paying invoices sounds simple enough. A vendor creates an invoice and sends a bill, your team approves it, and the money goes out. In practice, though, invoice payments are where a lot of finance ...

A new study reveals how different synthesis methods can profoundly impact the structure and function of high entropy oxides, a class of materials with applications in everyday electronic devices. A ...

Dion2 reduces the cost of Muon’s orthonormalization step by orthonormalizing only a small, selected submatrix at each iteration. This lightweight approach preserves Muon’s strong performance while ...

Abstract: The superposition T-matrix method based on entire-domain vector spherical wave functions (VSWFs) is a powerful technique for analyzing multiple scattering problems in electromagnetic (EM) ...

Abstract: Concerning the stability analysis for systems with time-varying delays, a negative-determination method for a class of generalized-convex (generalized-concave) matrix-valued polynomial ...

You'll be more productive if you can see what you need to do, and when you need to do it. Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well ...

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.