Structural topology constraints in topology optimization are an important research topic. The structural topology is characterized by the topological invariance of the number of holes. The holes of a ...

Realizing the potential of near-term quantum computers to solve industry-relevant constrained-optimization problems is a promising path to quantum advantage. In this work, we consider the extractive ...

New framework helps biomanufacturers’ interventions, eyeing quality, cost, and stability for two-step chromatography decisions.

My Ph.D. from Wharton is in operations research, which I received a long time ago. My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

A new neural field-based optimization method aims to reshape parts to reduce overhangs and, in turn, minimize the need for 3D printing support structures.

A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...