Digital twin technologies help shorten research and development cycles of products

3D-printing technologies have often been cited to help shorten the development cycle of many products. But, less well known is the positive role that digital twin technologies play in enabling a faster research and development cycle of products. Digital twin technologies refer to the simulation model that simulate and predicts the performance characteristics of a … More Digital twin technologies help shorten research and development cycles of products

Algorithms for quantum computing remain an exploration space

Much of contemporary computing still relies on classical computers whose underpinnings were discovered decades ago. But, in recent years, quantum computing has quietly moved into commercial applications with experimental and research machines available for use in designated facilities around the world. Typically, these quantum computers are applied on problems that defy solutions by conventional computers. … More Algorithms for quantum computing remain an exploration space

Digital twin technologies help shorten research and development cycles of products

3D-printing technologies have often been cited to help shorten the development cycle of many products. But, less well known is the positive role that digital twin technologies play in enabling a faster research and development cycle of products. Digital twin technologies refer to the simulation model that simulate and predicts the performance characteristics of a … More Digital twin technologies help shorten research and development cycles of products

Simulation is underpinned by known theoretical knowledge, but it helps explore parameter space revolving the system

Computer simulation has walked into many facets of scientific research as it has been proven to be a particularly useful tool for exploring different aspects of a problem without extensive experimentation. But, what are the bounds of simulation research? Can it explore new physics or fundamental knowledge? The answer to the latter question is no. … More Simulation is underpinned by known theoretical knowledge, but it helps explore parameter space revolving the system

Mathematical modelling helps dissect mechanistic basis of a process from amongst a suite of possibilities

Using mathematical models for explaining the mechanistic basis of a phenomenon or process is increasingly used in engineering and even in biological and chemistry research. This approach entails the use of mathematical models to help recapitulate experiment findings. Such mathematical models are typically simplified versions of first principles models that capture the essential characteristics of … More Mathematical modelling helps dissect mechanistic basis of a process from amongst a suite of possibilities

Utility of molecular simulation in constraining possible mechanisms of macroscopic phenomenon

Molecular mechanisms underpin macroscopic phenomenon that we observe, but inability to visualize microscopic events for determining the mechanisms involved precluded scientists from pinpointing the exact mechanistic details of a phenomenon. However, contemporary molecular simulation tools and techniques such as molecular dynamics have attained the temporal and spatial resolution for informing possible mechanistic details of events … More Utility of molecular simulation in constraining possible mechanisms of macroscopic phenomenon