Talks

Date	Title	Event	Location
Mar, 2024	MolSets: Molecular graph deep sets learning for mixture property modeling [Slides]	APS March Meeting	Minneapolis, MN, USA
Sep, 2023	Mitigating bias in materials data	SRC TechCon	Austin, TX, USA
Jul, 2023	ET-AL: Entropy-targeted active learning for materials data bias mitigation	NIST AIMS Workshop	Online
Apr, 2023	ET-AL: Entropy-targeted active learning for materials data bias mitigation [Slides]	MRS Spring Meeting	San Francisco, CA, USA
Mar, 2023	Adaptive discovery and mixed-variable optimization for next-generation synthesizable microelectronic materials	TMS Annual Meeting	San Diego, CA, USA

Posters

Date	Title	Event	Location
Dec, 2024	Do graph neural networks work for high-entropy alloys? [Paper] [Poster]	NeurIPS AI for Materials Workshop	Vancouver, BC, Canada
Jul, 2024	Chemistry-aware graph neural network for learning molecular mixture properties [PDF]	NIST AIMS Workshop	Rockville, MD, USA
Dec, 2023	Mitigating bias in scientific data: a materials science case study [Paper] [Poster]	NeurIPS AI for Science Workshop	New Orleans, LA, USA
Dec, 2023	Automated diffraction pattern analysis for identifying crystal systems using multiview opinion fusion machine learning [Paper] [Poster]	NeurIPS AI for Materials Workshop	New Orleans, LA, USA
Nov, 2022	Entropy-targeted active learning for materials data bias mitigation [Poster] [Spotlight]	CHiMaD Annual Meeting	Chicago, IL, USA
Oct, 2020	Autonomous phase diagram construction guided by active learning [Poster]	Forum of Materials Genome Engineering	Mianyang, China
Nov, 2019	Kinetics of phase distribution and phase separation of Cu–Cr–Co combinatorial multilayered thin films	Forum of Materials Genome Engineering	Kunming, China