Milad Abolhasani's Biography

Milad Abolhasani, Associate Professor , North Carolina State University

Milad Abolhasani is an Associate Professor and a University Faculty Scholar in the Department of Chemical and Biomolecular Engineering at North Carolina State University. He received his Ph.D. from the University of Toronto in 2014. Prior to joining NC State University, he was an NSERC Postdoctoral Fellow in the Department of Chemical Engineering at MIT (2014-2016). Dr. Abolhasani leads a diverse research group that studies flow chemistry strategies tailored towards accelerated development and manufacturing of advanced functional materials and molecules using autonomous robotic experimentation. Dr. Abolhasani has received numerous awards and fellowships, including NSF CAREER Award, AIChE 35 Under 35, Dreyfus Award for Machine Learning in the Chemical Sciences & Engineering, I &EC Research 2021 Class of Influential Researchers, ACS-PRF Doctoral New Investigator Award, AIChE Futures Scholar, The John C. Chen Young Professional Leadership Scholarship (AIChE), and Emerging Investigator recognition from Lab on a Chip, Reaction Chemistry & Engineering, and Journal of Flow Chemistry.

Accelerated Development of Quantum Dots by Autonomous Robotic Experimentation in Flow

Friday, 1 October 2021 at 11:45

Add to Calendar ▼2021-10-01 11:45:002021-10-01 12:45:00Europe/LondonAccelerated Development of Quantum Dots by Autonomous Robotic Experimentation in FlowThe Space Summit 2021 in BostonBostonSELECTBIOenquiries@selectbiosciences.com

In this talk, I will present the Artificial Chemist technology, that is, a modular flow chemistry platform operated by a machine learning-guided decision-making algorithm for accelerated development of energy-relevant colloidal nanomaterials. I will discuss the unique advantages of reconfigurable flow reactors for autonomous multi-step synthesis, optimization, and continuous manufacturing of colloidal quantum dots (QDs) for direct utilization in next-generation photonic devices. The Artificial Chemist can rapidly and efficiently (i) explore and learn the synthesis and processing universe of colloidal QDs, (ii) identify the composition and relevant synthesis and processing route(s) of QDs to achieve specific optical or optoelectronic properties, and (iii) continuously manufacture the rapidly optimized QDs at a fraction of time/cost of currently utilized batch techniques. The developed autonomous robotic experimentation strategy can be readily adapted for accelerated development and end-to-end manufacturing of other solution-processed nanomaterials.

Add to Calendar ▼2021-09-30 00:00:002021-10-01 00:00:00Europe/LondonThe Space Summit 2021The Space Summit 2021 in BostonBostonSELECTBIOenquiries@selectbiosciences.com

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