Optimizing chemical processes is crucial to maximize yield, minimize environmental impact, and ensure cost-effective operations. Aspen Plus is the reigning process simulation software used throughout industry to design chemical process plants. However, finding the input parameters that result in the optimal outputs is challenging even for Aspen’s native optimization techniques, which struggles with complex, multi-objective problems.

To address this, we integrate Python-based algorithms like NSGA-II (for multi-objective optimization) and Bayesian Optimization (for efficient exploration of design spaces) to automate variable adjustments, run simulations, and retrieve results. Using these algorithms, we reduced the heat duty of a pressure swing system by 60,229 kcal/hour compared to previous work. At scale, this would represent a substantial amount of energy saved.

Our work has implications for simulation software beyond Aspen Plus and in other fields such as electrical and mechanical engineering by providing a framework for integration with optimization techniques in Python.

An analysis of the 2024 NFL Kickoff Rule Change that focuses on the rule’s impact on the increased number of long field goal attempts in recent years

Current prosthetic replacements for mitral valves require extensive suturing that costs valuable time during open heart surgery, especially in cases of Mitral Annular Calcification (MAC), where the tissue is stiff and difficult to suture. To reduce the risks associated with prolonged operative duration, we aim to design a sutureless mitral valve prosthesis that can be deployed quickly and conforms to the irregular, elliptical profile of a calcified mitral valve.

Our design incorporates the Shape Memory Alloy Nitinol and common biomaterials to create a self-expanding deployment mechanism. Additionally, we have created testing models that mimic the shape and texture of calcified mitral annuli.

Staffing shortages have cost hospitals $24 billion since the COVID-19 pandemic, with the healthcare industry facing a projected 3.2 million worker deficit by 2026. Operating rooms require a full surgical team, and personnel shortages have led to increased delays and cancellations, compromising patient outcomes. These shortages also contribute to clinician burnout, decreased efficiency, and financial strain on hospitals. For patients, especially in under-resourced areas, delays mean longer wait times, worsened prognoses for time-sensitive conditions, and limited access to quality care. For clinicians, fewer surgeries performed translate to reduced revenue and fewer patients served. Addressing this gap is critical to prevent overworking remaining staff, ensure timely care, and support sustainable operations. The Advanced Surgical Tool Retrieval Arm (ASTRA) robot offers a timely solution by optimizing intraoperative workflows and managing surgical instrumentation. ASTRA reduces the need for human hands in repetitive tasks, enabling surgeries to proceed without unnecessary delays and improving overall outcomes.