The ability to purify macromolecular machines in an intact, stable manner is imperative to mechanistically interrogate their function within cells and to elucidate three-dimensional (3D) structures.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Researchers have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions.

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a new study. A ...

Utilities optimizing their distribution systems today often are addressing challenges in addition to Volt/VAR optimization. VVO on distribution systems with a growing variety of DER and load sources ...

Hyped as the solution to many problems – both hard and easy – quantum-enhanced optimization is a burgeoning research field. But with untrainable circuits, “barren plateaus” and deceptive local minimas ...