Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Vinci’s physics AI foundation model delivers deterministic, solver-accurate warpage analysis across extreme scales—already in production use at leadin ...

For decades, simulation has been the cornerstone of scientific discovery and hardware design. But despite the advances we’ve made in computing power and tooling, the way we run simulations hasn’t ...

A physicist has mounted one of the most detailed technical challenges yet against the idea that our universe is a computer simulation, arguing that the energy required to run such a program would ...

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

Luminary is rethinking physics simulation workflows spanning GPU clusters from the ground up. The new company hopes the new architecture and business model will impact the simulation industry as much ...

Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...