Tao, L., Goodarzi, P. & Richardson, J. W. (2026). "Error signals for overcoming the laser power limits of gravitational-wave detectors." Classical and Quantum Gravity, 43(14), 5008
Lay summary of this work: Physics World
Rosauer, T., Cao, H. T., Bhattacharya, M., Carney, P., Johnson, L., Levin, S., Liang, C., Ma, X., Martin Gutierrez, L., Padilla, M., Tao, L., Wilkin, A., Brooks, A. & Richardson, J. W. (2025). "Demonstration of a next-generation wavefront actuator for gravitational-wave detection." Optica, 12(10), 1569
Lay summary of this work: Physics World
Tao, L., Bhattacharya, M., Carney, P., Gutierrez, L. M., Johnson, L., Levin, S., Liang, C., Ma, X., Padilla, M., Rosauer, T., Wilkin, A. & Richardson, J. W. (2025). "Expanding the Quantum-Limited Gravitational-Wave Detection Horizon." Physical Review Letters, 134(5), 1401
Lay summary of this work: UCR News
Gurav, R., Kelly, I., Goodarzi, P., Effler, A., Barish, B., Papalexakis, E. E. & Richardson, J. W. (2024). "Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors." 2024 IEEE International Conference on Big Data (BigData), 4145–4152
Lay summary of this work: UCR News
Fulda, P., Ballmer, S. & Richardson, J. W. (2024). "Achieving a cosmological reach: from Advanced LIGO to the next generation of terrestrial gravitational wave detectors." SPIE Proceedings Volume 12997, Optics and Photonics for Advanced Dimensional Metrology III; 129970T
Barish, B. C., Richardson, J. W., Papalexakis, E. E. & Gurav, R. (2023). "Machine Learning for Complex Instrument Design and Optimization." Artificial Intelligence for Science, 95–116
Lay summary of this work: UCR News
Richardson, J. W., Pandey, S., Bytyqi, E., Edo, T. & Adhikari, R. X. (2022). "Optimizing gravitational-wave detector design for squeezed light." Physical Review D, 105(10), 2002
Aiello, L., Richardson, J. W., Vermeulen, S. M., Grote, H., Hogan, C., Kwon, O. & Stoughton, C. (2022). "Constraints on Scalar Field Dark Matter from Colocated Michelson Interferometers." Physical Review Letters, 128(12), 1101
Gurav, R., Papalexakis, E. E., Vajente G., Richardson, J. W. & Barish, B (2022). "Identifying Witnesses to Noise Transients in Ground-based Gravitational-wave Observations using Auxiliary Channels with Matrix and Tensor Factorization Techniques." The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022) AI for Science Workshop