BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Sustainable Systems Seminar Lunch Series -  Adaptive Mineral B
 lending and Routing Using Reinforcement Learning
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260715T225254Z
UID:tag:localist.com\,2008:EventInstance_52879304593891
DTSTART:20260519T190000Z
DTEND:20260519T200000Z
DESCRIPTION:This week's speaker is:\n\nWilliam Xu\, PhD Candidate\, Materia
 ls Science and Engineering\, Stanford University\n"Adaptive Mineral Blendi
 ng and Routing Using Reinforcement Learning"\n\nAbstract:\n\nEfficient min
 eral processing is vital to sustainably source the critical minerals neede
 d for national security and the clean energy transition. Ore variability i
 s a major source of uncertainty that limits mineral processing performance
  and is often addressed by blending feedstocks together to make them more 
 homogenous and consistent. In this work\, I use reinforcement learning to 
 solve the problem of feedstock blending and routing under uncertainty in t
 he context of phosphate mining operations in Morocco.\n\n\nBio:\n\nWilliam
  Xu (he/him) is a PhD candidate in Materials Science and Engineering in th
 e Mineral-X research group (supervised by Prof. Jef Caers). He applies AI 
 to optimize mineral processing under uncertainty with the goal of making p
 rocessing more efficient and sustainable. As a RAISE fellow\, William is w
 orking with Imperial Valley Equity and Justice to devise community-centere
 d economic development plans in the “Lithium Valley” region of souther
 n California.\n\nThe topics of this seminar are broad but typically fall u
 nder technologies’ scaling potential and impact on (the system of) peopl
 e\, the environment and the economy. A particular focus is placed on the i
 nteraction potential of technologies with the energy\, water\, and materia
 l systems. Our goal is to create an intimate\, collaborative space for stu
 dents\, postdocs\, scientists\, and PIs within Stanford across micro-level
  (material and technology) to macro-level (system) interests. These semina
 rs will provide an opportunity to disseminate insights from your studies\,
  connect with fellow researchers\, and strengthen bonds across the communi
 ty.
GEO:37.425273;-122.172422
LOCATION:Press\, 106
SUMMARY:Sustainable Systems Seminar Lunch Series -  Adaptive Mineral Blendi
 ng and Routing Using Reinforcement Learning
URL;VALUE=URI:https://events.stanford.edu/event/sustainable-systems-seminar
 -lunch-series-Adaptive-Mineral-Blending-and-Routing-Using-Reinforcement-Le
 arning
CATEGORIES:Class/Seminar
END:VEVENT
END:VCALENDAR