Additive manufacturing (AM) has already undergone substantial advances over the past two decades since its renaissance in the early 2000s, solidifying its position as a viable manufacturing technology ...

Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...

Systems biology modeling is entering a new phase. For decades, computational models—ODE and PDE systems, stochastic simulations, constraint-based networks, ...

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow approaches.

Researchers at the University of British Columbia Okanagan have published a mathematical argument that, they say, rules out ...

Creating a virtual brain may sound like a science-fiction nightmare, but for neuroscientists in Japan and at Seattle’s Allen Institute, it’s a big step toward a long-held dream. They say their ...

Bolstered by fast processing speeds and cheap memory, simulation has become far more accessible than in the past. Thus, the development tool has transformed product development. Simulation has ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

Simulating fires in airtight or mechanically ventilated compartments—such as those found in nuclear facilities and ...

What if gravity were informed by the way matter was arranged in the universe — and a sign that we were living in a reality composed by a giant computer? In a new paper published in the journal AIP ...