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1. Towards understanding the moral reasoning process of senior chemical engineering students in process safety contexts.

   https://doi.org/10.1016/j.ece.2019.03.004  

   Butler, B. ; Bodnar, C. ; Cooper, M. ; Burkey, D. ; Anastasio, D. ( April 2019 , Education for chemical engineers)

   Despite process safety and ethical decision making being recognized priorities in many chemical companies, process safety incidents continue to occur with unfortunate regularity. In order to understand why such incidents keep occurring, and to prevent future accidents from happening, it is important to study the decision-making habits of people employed at chemical companies, and to inform students of the difference between the influences of ethics and behavioral ethics in process safety decision making. This study seeks to determine how senior chemical engineering students approach reasoning through process safety scenarios through the use of a mixed methods study. This study found that four out of the five students who participated in the study demonstrated post-conventional reasoning, and the remaining student showed conventional reasoning based on the quantitative analysis of their responses. Students showed mostly post-conventional reasoning in their responses based on a qualitative analysis; however, through comparison of these results it was found that the moral schema students were classified as was not always truly representative of their moral reasoning.
2. Model‐predictive safety optimal actions to detect and handle process operation hazards

   https://doi.org/10.1002/aic.16932  

   Soroush, Masoud ; Masooleh, Leila Samandari ; Seider, Warren D. ; Oktem, Ulku ; Arbogast, Jeffrey E. ( June 2020 , AIChE Journal)
3. Senselet: Distributed Sensing Infrastructure for Improving Process Control and Safety in Academic Cleanroom Environments

   https://doi.org/10.1145/3427384.3427388  

   Nahrstedt, Klara ; Yang, Zhe ; Yu, Tuo ; Su, Patrick ; Kaufman, Robert ; Shan, Ishan ; Konstanty, Steve ; McCollum, Mark ; Dallesasse, John ( September 2020 , GetMobile: Mobile Computing and Communications)

   Semiconductor cleanrooms are used to fabricate devices with feature sizes that can be much smaller than a dust particle. Hence, any environmental deviations in temperature, or humidity around fabrication instruments may become the root cause of hundreds of transistors failing during the manufacturing. Furthermore, researchers work with dangerous chemicals in cleanrooms and violation of safety may lead to disastrous consequences. Therefore, we have developed an affordable, locally-controlled distributed sensing infrastructure, called SENSELET, for academic cleanrooms. It provides highly effective services for environment sensing around scientific instruments, sensory data collection and visualization, indoor localization, and instrument proximity detection for safety of researchers.
4. Collaborative Research: Designing an Immersive Virtual Environment for Chemical Engineering Process Safety Training

   https://doi.org/10.18260/1-2--34301  

   Anastasio, Daniel ; Bassett, Landon ; Stransky, Jeffrey ; Bodnar, Cheryl ; Burkey, Daniel ; Cooper, Matthew ( January 2020 , ASEE National Meeting, virtual)
5. Process Safety Analysis for Ti ₃ C ₂ T _x MXene Synthesis and Processing

   https://doi.org/10.1021/acs.iecr.8b05416  

   Lakhe, Pritishma ; Prehn, Evan M. ; Habib, Touseef ; Lutkenhaus, Jodie L. ; Radovic, Miladin ; Mannan, M. Sam ; Green, Micah J. ( January 2019 , Industrial & Engineering Chemistry Research)