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SUMMARY:The 2026 Walter Kohn Prize Ceremony
DTSTART;VALUE=DATE-TIME:20270114T150000Z
DTEND;VALUE=DATE-TIME:20270114T170000Z
DTSTAMP;VALUE=DATE-TIME:20261113T212554Z
UID:indico-event-11567@ictp.it
DESCRIPTION:\n	\n		\n		ICTP and the Quantum ESPRESSO Foundation have annou
 nced that the winner of the 2026 Walter Kohn Prize is Wan-Jian Yin\, a pro
 fessor at Sochoow University\, China. \n	\n		 \n	\n		The award recognize
 s Wan-Jian Yin’s pioneering contributions to computational materials sci
 ence via the integration of first-principle calculations and artificial in
 telligence\, which have accelerated materials discovery and enabled the pr
 ediction\, inverse design and synthesis planning of property-targeted new 
 materials.\n	\n	The ceremony will be held on 14 January 2027 at ICTP\, dur
 ing the Centre’s 23rd International Workshop on Computational Physics an
 d Materials Science: Total Energy and Force Methods.\n	Wan-Jian Yin is a P
 rofessor at Soochow University\, China. He earned his PhD in Theoretical P
 hysics from Fudan University in Shanghai. Following his doctoral studies\,
  he worked as a postdoctoral researcher at the National Renewable Energy L
 aboratory in Colorado\, USA\, and later as a Research Assistant Professor 
 at the University of Toledo\, USA. He joined Soochow University in 2015. H
 e serves as an Associate Editor for journals including Computational Mater
 ials Science and AI Materials. His research focuses on AI physics and mate
 rials design. Recently\, he has integrated first-principles calculations a
 nd machine-learning methods to accelerate materials discovery. His group h
 as realized full-space inverse materials design via the D3REAM code\, and 
 developed PIRAG-LM\, a physics-informed retrieval-augmented generation lar
 ge-language model for inorganic-materials synthesis planning.\n	The Walter
  Kohn Prize was established in 2016 by ICTP and the Quantum ESPRESSO Found
 ation (QEF) in honour of Chemistry Nobel Laureate Walter Kohn\, a leading 
 condensed matter physicist who developed density functional theory (DFT)\,
  a method that drastically reduces the amount of computing power needed to
  model the properties of complex materials\, without compromising the accu
 racy of a model’s simulations. DFT has already had a big impact on a wid
 e variety of fields\, including chemistry\, molecular physics\, medicine a
 nd engineering. It also has opened the door to contributions from scientis
 ts from disadvantaged countries who have no access to huge supercomputers\
 , due to its low computing costs and the wide availability of open source 
 modeling software. The prize is awarded jointly by ICTP and the QEF every 
 two years.\n	All are welcome to attend. Light refreshments will be served 
 in the lobby after the event.\n	 \n\n\n//indico.ictp.it/event/11567/
LOCATION:ICTP Leonardo Building - Budinich Lecture Hall
URL://indico.ictp.it/event/11567/
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