Dr. Xu received the ASME 2021 Reviewers of the Year Award. https://doi.org/10.1115/1.4053756
NSF CAREER Award
Dr. Xu receives the prestigious National Science Foundation’s CAREER award.
This grant will support Dr. Xu’s research on design of mixed stochasticity structural systems, as well as education and research outreach activities.
The Tire Society 2020 Best Paper Award
Dr. Xu received the 2020 Superior Paper Award from the Tire Society for the paper entitled “Data-Driven Multiscale Science for Tire Compounding”. This paper is based on Dr. Xu’s previous collaboration with Goodyear Research.
2021 ME Graduate Research Competition – Runner-up
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.
Invited webinar at ECS Chapter – Purdue
Dr. Xu delivered a webinar entitled “Computational Modeling of Battery Separator Microstructure by Statistical Characterization and Stochastic Reconstruction” at the ECS Chapter – Purdue University FALL 2020 Webinar Series on Dec. 7, 2020. https://engineering.purdue.edu/ECS/index.html
Presentations in three international conferences
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”
Zihan Wang receives 2020 General Electric (GE) Fellowship
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.
Kick-off of a joint research project with Ford Motor Company
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 is among the ASME JMD Top 10 Downloads in 2019
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
CMC-Computers, Materials & Continua
Dr. Xu starts to serve on the editorial board of CMC-Computers, Materials & Continua (IF: 3.024)