An energy harvested ultra-low power transceiver for Internet of Medical Things. - Yashar Rajavi; Mazhareddin Taghivand; Kamal Aggarwal; Andrew Ma; Ada S. Y. Poon (ESSCIRC, 2016)

An RF-Powered FDD Radio for Neural Microimplants. - Yashar Rajavi; Mazhareddin Taghivand; Kamal Aggarwal; Andrew Ma; Ada S. Y. Poon (IEEE J. Solid State Circuits, 2017)

Anarchic manufacturing. - Andrew Ma; Aydin Nassehi; Chris Snider (Int. J. Prod. Res., 2019)

Topogivity: A Machine-Learned Chemical Rule for Discovering Topological Materials. - Andrew Ma; Yang Zhang 001; Thomas Christensen; Hoi Chun Po; Li Jing 001; Liang Fu; Marin Soljacic (CoRR, 2022)

Multimodal Learning for Crystalline Materials. - Viggo Moro; Charlotte Loh; Rumen Dangovski; Ali Ghorashi; Andrew Ma; Zhuo Chen; Peter Y. Lu; Thomas Christensen; Marin Soljacic (CoRR, 2023)

Orthogonal rational approximation of transfer functions for high-frequency circuits. - Andrew Ma; Arif Ege Engin (Int. J. Circuit Theory Appl., 2023)

Sensor Fusion Enhances Anomaly Detection in a Flood Forecasting System. - Andrew Ma; Abhir Karande; Natalie Dahlquist; Fabien Ferrero; Nhat Rich Nguyen (J. Sens. Actuator Networks, 2025)

Predicting band gap from chemical composition: A simple learned model for a material property with atypical statistics. - Andrew Ma; Owen Dugan; Marin Soljacic (CoRR, 2025)

Rethinking Reflection in Pre-Training. - Darsh J. Shah; Peter Rushton; Somanshu Singla; Mohit Parmar; Kurt Smith; Yash Vanjani; Ashish Vaswani; Adarsh Chaluvaraju; Andrew Hojel; Andrew Ma; Anil Thomas; Anthony M. Polloreno; et al. (CoRR, 2025)

Practical Efficiency of Muon for Pretraining. - Ishaan Shah; Anthony M. Polloreno; Karl Stratos; Philip Monk; Adarsh Chaluvaraju; Andrew Hojel; Andrew Ma; Anil Thomas; Ashish Tanwer; Darsh J. Shah; Khoi Nguyen; Kurt Smith; et al. (CoRR, 2025)

Learning simple heuristic rules for classifying materials based on chemical composition. - Andrew Ma; Marin Soljacic (CoRR, 2025)