Yongtao Liu
@yongtao_liu
ID: 849798947925360640
https://youngtaoliu.wixsite.com/yongtaoliu 06-04-2017 01:40:32
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MIAYN---My conclusion slide in today Seagate AI/ML Working Group Distinguished Speaker Series. Sergei Kalinin @ramav_matsci Maxim Ziatdinov Kevin Roccapriore
Automated Microscopy--We Sergei Kalinin Maxim Ziatdinov @ramav_matsci used deep kernel learning scanning probe microscopy (DKL-SPM) to explore the correlation of local nonlinear electromechanical response and different microscopy image channels. onlinelibrary.wiley.com/doi/10.1002/smโฆ
The reason why microscopy is all you need is that there is plenty of data at the bottom. Maxim Ziatdinov @ramav_matsci Yongtao Liu Kevin Roccapriore arxiv.org/abs/2210.06526
Automated scanning probe microscopy meets hybrid perovskites to discover ionic dynamics in grain boundaries and junctions. What else can we learn with this method? Yongtao Liu Maxim Ziatdinov Mahshid Ahmadi arxiv.org/abs/2210.14138
Nice view #AVS68 . Look forward to talking about our work Sergei Kalinin Maxim Ziatdinov @ramav_matsci of autonomous microscopy at 3pm/room305 today
Stay in tune with Maxim Ziatdinov Kevin Roccapriore Yongtao Liu @ramav_matsci Mani Valleti work for new developments - quite a lot has been done over the 1.5 years since this paper has been submitted!
NOW >3000 DOWNLOADS!๐ฅณ '#Physics makes the difference: #Bayesian #optimization and active learning via augmented #Gaussian process' by Maxim Ziatdinov Sergei Kalinin and A Ghosh Physical Sciences ORNL Computing & Computational Sciences - bit.ly/3uzRqhd #machinelearning #materials #AI #microscopy
'Decoding the shift-invariant data: applications for band-excitation #scanning probe #microscopy' by Sergei Kalinin @ramav_matsci Maxim Ziatdinov Mahshid Ahmadi et al Physical Sciences ORNL Computing & Computational Sciences UT MSE hits 1000 downloads! bit.ly/3G0nBtQ #machinelearning #materials
Excited to attend #APSMarchMeeting and deliver an invited talk next week. I will share how #MachineLearning drives #scanning_probe #microscopy to make amazing discoveries in the AI_and_Materials_II session. march.aps.org/sessions/F53/1 Sergei Kalinin @ramav_matsci Maxim Ziatdinov
The realization of a fully autonomous system for physics discovery - for ferroelectric domain growth. Probably first practical realization! Yongtao Liu Maxim Ziatdinov @ramav_matsci cell.com/patterns/fulltโฆ
๐จNew paper alert๐จ In our just published work, we demonstrated a microscopy platform to automatically identify physical laws governing materialsโ behavior at the nanometer scale, applicable to the design of functional materials. By Yongtao Liu et al doi.org/10.1016/j.pattโฆ
Abstract submission for 2023 Fall MRS Meeting Materials Research Society (MRS) is open May 16 - June 13. Please check out Symposium DS02 if you plan to submit abstracts about #microscopy #synchrotron #neutron #MachineLearning #Autonomous experiments linkedin.com/feed/update/urโฆ
Technologies developed by ORNL researchers have received 6๏ธโฃ 2023 R&D 100 Awards! ๐ ๐๐๐๐๐๐ ornl.gov/news/ornl-winsโฆ
Great new work by Yongtao Liu Martรญ Checa and Rama K Vasudevan Oak Ridge Lab Physical Sciences ORNL Computing & Computational Sciences -'Synergizing human expertise and #AI efficiency with #languagemodel for #microscopy.....'- iopscience.iop.org/article/10.108โฆ #machinelearning #imaging #materials #LLMs #automation #nanoscience
