Zihan Wang was placed 2nd out of 9 students in the 2021 ME Graduate Research Competition (May 27, 2021). Title of the presentation: A Gaussian Mixture Variational Autoencoder-Based Approach for Designing Phononic Bandgap Metamaterials.

This year we have presented our research in three international conferences:

• ASME International Symposium on Flexible Automation (ISFA 2020): “Material Model Calibration by Deep Learning for Additively Manufactured Alloys”
• ASME 2020 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2020): “Quantification of Uncertainties Distributed in Network-like Systems”
• Society of Engineering Science 2020 (SES 2020): “Predicting Mechanical Behaviors of a Highly Orthotropic Polypropylene Battery Separator Film by Microstructure Modeling”

 

Ms. Zihan Wang received the 2020 General Electric (GE) Graduate Fellowship for Innovation! Congratulations!

The purpose of the GE fellowship program at UConn’s School of Engineering is to (i) promote high quality research of interest to GE; (ii) to recognize graduate students for achievement; and (iii) to provide PhD students with opportunities for professional development and enrichment. GE Fellows were selected following on a two-stage process consisting of a written application and then an interview.

 

We have kicked off a Ford University Research Project on deep learning-based design of cellular structure considering uncertainties induced by Additive Manufacturing (AM) processes.

   

Our paper “A Descriptor-Based Design Methodology for Developing Heterogeneous Microstructural Materials System” published on Journal of Mechanical Design is among the Top 10 downloads in 2019! (HTML view: #3, PDF view: #2, total view #3) http://www.asmejmd.org/top-downloads.html

Dr. Xu starts to serve on the editorial board of CMC-Computers, Materials & Continua (IF: 3.024)

http://www.techscience.com/cmc/index.html

Dr. Xu gave a talk entitled “Failure Model of Separators based on Statistical Analysis of Microstructures” at the 11th MIT workshop on Computational Modeling of Lithium-ion Batteries for Crash Safety on Nov. 13, 2019.

Dr. Xu gave an invited talk in the mechanical engineering seminar at Stony Brook University on Oct 25: “Uncertainty Quantification Methods for Stochastic Microstructure Characterization and Reconstruction“.

Our recent work on image-based microstructure modeling of additively manufactured alloys has been presented in the 4th ASTM Symposium on Structural Integrity of Additive Manufactured Materials (Oct 7~10, 2019 at Oxon Hill, MD).