Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Researchers at the TPU Laboratory of Heat and Mass Transfer have proposed a mathematical model that reliably describes critical conditions of microexplosion of composite fuel droplets under the ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

A new study in PNAS introduces a mathematical model that quantifies how different systems, from cells to organizations, ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

The field of infectious disease epidemiology is continually challenged by the emergence and re-emergence of pathogens, which ...

Dyscalculia, characterized by deficits in number sense and calculation skills, affects approximately 5%–7% of the population ...

An array of 15,000 qubits made from phosphorus and silicon offers an unprecedentedly large platform for simulating quantum ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...

Although bioreactor scale-up often involves matching key engineering parameters, a biology-first approach should dictate the process.

If your prompts influence policy, finance or patient care but live in chat threads, you don’t have innovation — you have unmanaged risk.