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Composite Simulation based on Multiscale Analysis
- Date:
- Dec. 24, 2021
- Time:
- 12:20pm
- Place:
- Room 210, COE Building No.1
- Speaker:
- Zhen Yuan
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Energy Systems for the 21st Century - The 3Ds: decentralisation; decarbonisation; digitalisation
- Date:
- Oct. 21, 2020
- Time:
- 3:00-5:00pm
- Place:
- Room 203, 2nd Teaching Building
- Speaker:
- Jim McDonald
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iCANX Talks Vol.23︱Nano technology for COVID19
- Date:
- Sept. 18, 2020
- Time:
- 20:00-23:00
- Place:
- talks.ican-x.com
- Speaker:
- Paula T. Hammond (Massachusetts Institute of Technology) Andre Nel (University of California, Los Angeles)
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Dynamic Latent Variable Regression for Inferential Sensor Modeling and Supervised Monitoring
- Date:
- Jan. 9th, 2020
- Time:
- 10:00am
- Place:
- Room 805, Wangkezhen Building
- Speaker:
- Qinqin Zhu
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[ April 08, 2021] Prof. Shuxiang Dong 's group at PKU makes a new progress in strengthening force-electrical sensitivity of organic piezoelectric film
They reported a 3D-printed PVDF-TrFE piezoelectric film (PF) coated with one pair of a dislocated interdigital electrode (ID) to produce multiple, alternatively tilt-polarized regions in the cross-sectional area.
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[ March 26, 2021] COE participates in symposium “Accelerating progress towards the Sustainable Development Goals in the post-COVID era: the contribution of Universities”
Experts and scholars from the two universities focused on innovative technology to meet global climate challenges and discussed the role of university partnership in advancing sustainable development goals by the United Nations.
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[ February 23, 2021] Professor Zheng Chen elected in the 2021 class of Fellows of the Combustion Institute
Fellow of the institute is a lifetime honor to recognize dedicated members for outstanding contributions to combustion.
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[ Janurary 28, 2021] The research results of Mohan Chen and collaborators selected as China's top ten news in science and technology in 2020
Their work is named "Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning".
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[ Janurary 18, 2021] A new perspective on the evolution of cooperation from the group of Xiaolei Wu and Yong Nie: Selfishness drives the evolution of microbial cooperation?
Recently, the group of Xiaolei Wu and Yong Nie proposed a novel perspective on the evolution of cooperation, which emphasized that the evolution of cooperative community is actually driven by the selection for selfish trait at individual level.
