In this seminar, Dr. Igor Aronson will present his latest research on active matter. Enzymatic nanomotors convert chemical fuel into kinetic energy, forming swarming groups that mimic the coordinated movements of natural organisms like bacterial colonies and fish schools. These swarms offer benefits such as increased coverage and longer propulsion. Through experimental and computational analysis, we investigate how factors like particle concentration and fuel viscosity influence swarm behavior, uncovering crucial insights for biomedical applications, including precision-targeted therapies.

New opportunity for graduate students in the field of Chemical and Electronics Engineering: "PRACTICE - Performance Refinement through AI Correction in Technical Writing." This initiative is designed to enhance the technical writing skills of graduate students by integrating artificial intelligence tools that provide real-time feedback and corrections.

Join Dr. Ubaldo M. Córdova-Figueroa's team at UPRM to work on liquid crystal colloids. Participate in computational simulations, publish your research, present at conferences, and take part in NSF-funded PREM activities. Ideal for students interested in soft matter and computational research.

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our research group at the University of Puerto Rico – Mayagüez in an exciting project focusing on the development of computational and machine learning models to predict the self-assembly of PFAS surfactants.

Are you a graduate student at UPRM in Chemical Engineering, Mechanical Engineering, Materials, Applied Mathematics, or Physics? Do you have strong communication and mathematical skills, coupled with a passion for computational materials research? If so, we have an exciting opportunity for you!