The fusion of advanced analytics and increasing AI capabilities in chemical processing can be powerful for process ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

In the hands of scientists, engineers, operations leaders and innovators, AI has the potential to fundamentally transform how ...

One of the longstanding challenges in chemical biology has been finding ways to directly observe biological processes at work ...

Colloids and Interfaces, Transport in porous/nonporous materials, Single-molecule microscopy, Separations, Biomolecules at interfaces, Surface modification by self-assembly, Heterogeneous ...

“Prediction of Carbon Nanostructure Mechanical Properties and the Role of Defects Using Machine Learning,“ Winetrout, J. J.; Li, Z.; Zhao, Q.; Gaber, L ...

Engineering is the design and construction of systems and structures for influencing the world around us and enhancing our experience within it. Engineers use the fundamental principles of ...

By two examples in linear actuator design, we show that our technique delivers a significant speedup compared to other optimization schemes ...

Abstract: This paper describes experiences with mixed integer linear programming (MILP) based approaches on the short-term hydro scheduling (STHS) function. The STHS is used to determine the optimal ...

Mixing equipment can greatly contribute to process efficiency,” says Erin Dillon, media and marketing coordinator with ...

Leiden/Amsterdam Center for Drug Research, Division of Molecular Toxicology, Vrije Universiteit Amsterdam, De Boelelaan 1083, 1081 HV Amsterdam, The Netherlands, Department of Chemistry, Biovitrum AB, ...