news

2024/04	Our full proposal “Physics and Mechanics of Brittle Particle Cold Spray via Machine Learning enabled Multiscale Simulaitons” has been submitted to NSF Advanced Manufacturing Program in response to a Dear College Letter: Funding Opportunities for Engineering Research in Artificial Intelligence. It proposes to use integrated machine learning assisted simulations and experiments to overcome fundamental challenges for brittle particle cold spray, a novel additive manufacturing technique. I led the ideation and drafting of material simulations and machine learning methods for this proposal. More details of this research can be found in projects.
2024/02	I am thrilled to announce that our work “Machine learning accelerated discovery of corrosion-resistant high-entropy alloys” has been published in Computational Materials Science.
2024/02	I gave a virtual seminar at Worcester Polytechnic Institute (WPI) Mechanical & Materials Engineering graduate seminar on Feb 21, 2024 about “Rational Design of Nanoalloy Electrocatalysts”.
2023/12	My perspective about trends of 2024 AI in materials science research has been posted on EAI webpage .
2023/12	Our work on combining nearsighed force training and global optimization techniques to understand Co-Pt nanoparticle phase stability has been published at JPCC .
2023/11	I presented a poster on “Challenges and Opportunities for Machine Learning Accelerated Materials Qualification for Brittle Particle Cold Spray” at the MRS 2023 Fall Meeting & Exhibit. Also, Zachery Hindley, a summer intern at the Roux Engineering team comentored by me and Nathan Post, presented a talk for his internship work regarding “Image Selection for Atomistic Machine Learning using an Autoencoder”.
2023/07	Excited to announce that our work on materials design for corrosion-resistant high-entropy alloys with machine learning is out at arXiv.
2023/06	Thrilled to share that our work on nanoparticle alloy phase stability using NFT is now available on arXiv.
2023/05	I presented a poster at the ICME2023 conference in Orlando for our work titled “Machine learning accelerated discovery of corrosion-resistant high-entropy alloys”.
2023/05	I recorded a MOOC lecture titled “AI in Engineering” with the Experiential Digital Global Education team.
2023/01	I gave a talk at the Roux weekly academic workshop for one piece of my PhD work on nanoparticle phase stability. Slides can be found here.
2022/12	Our work on general strain trends in catalysis is published on J. Phys. Chem. C.
2022/11	I joined the Roux Institute of Northeastern University as a Experiential AI postdoc. I will work on machine learning accelerated materials design and data analytic approaches in additive manufacturing.
2022/07	I defended my PhD thesis. The thesis is available at Brown library and ProQuest. Slides are here.
2022/02	I gave a talk for our nearsighted force-training work at the New England Catalysis Winter meeting.
2022/01	Out work using nearsighted force-training to curate training data only when necessary is out on J. Chem. Phys.
2021/06	I am honored to be selected by SIGMA XI Honor Society as a full member.
2020/10	Our work using eigenforce model to predict the anisotropic strain effect of Pt ternary alloys has been published on JACS.
2020/07	I won a solo gold metal (5/1621) for the Kaggle competition Jigsaw Multilingual Toxic Comment Classification. I became a Kaggle competition master with one gold and two silver medals.
2020/06	I won a solo silver metal (90/2225) for the Kaggle competition Tweet Sentiment Extraction.
2020/04	I won a silver metal (90/2059) as the team leader for the Kaggle competition Bengali.AI Handwritten Grapheme Classification.
2019/03	I am delighted to announce that I have been selected to participate in the open graduate education program.
2019/01	We introduced eigenforce model to quantify strain effect for adsorption energy and employed that to understand the oxygen reduction catalytic performance of face-centered cubic Pt–Co and Pt–Fe alloys. The work is now published at J. Chem. Phys.