Energy-efficient, temperature stable, high data rate VCSELs for optical interconnects. - Dieter Bimberg; Gunter Larisch; Philip Moser; Philip Wolf; Hui Li 090; James A. Lott (ICTON, 2014)

Monolithic high contrast grating VCSELs: Concept and prospects. - Marcin Gebski; Magdalena Marciniak; Maciej Dems; James A. Lott; Tomasz Czyszanowski (ICTON, 2016)

High-bandwidth, energy-efficient, low-dimensional VCSELs for optical interconnects. - James A. Lott (OFC, 2017)

25-30 Gbps Error-Free Data Transmission with Large Oxide Aperture Diameter 980 nm VCSELs. - James A. Lott; R. Rosales; Gunter Larisch; Nasibeh Haghighi (OFC, 2019)

55 Gbps error free data transmission with 980 nm VCSELs across 100 m of multiple-mode optical fiber. - Nasibeh Haghighi; Justin Lavrencik; Stephen E. Ralph; James A. Lott (OECC/PSC, 2019)

Developing of a photonic hardware platform for brain-inspired computing based on 5×5 VCSEL arrays. - Tobias Heuser; Moritz Pflüger; Ingo Fischer; James A. Lott; Daniel Brunner; Stephan Reitzenstein (CoRR, 2020)

A complete, parallel and autonomous photonic neural network in a semiconductor multimode laser. - Xavier Porte; Anas Skalli; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2020)

Computational metrics and parameters of an injection-locked large area semiconductor laser for neural network computing. - Anas Skalli; Xavier Porte; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2021)

Coherent VCSEL Network Computing. - Zaijun Chen; Alexander Sludds; Ronald Davis; Ian Christen; Lamia Ateshian; Liane Bernstein; Tobias Heuser; Niels Heermeier; James A. Lott; Stephan Reitzenstein; Ryan Hamerly; Dirk R. Englund (OECC/PSC, 2022)

A semiconductor laser stand-alone neural network. - Anas Skalli; Xavier Porte; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (OECC/PSC, 2022)

Deep Learning with Coherent VCSEL Neural Networks. - Zaijun Chen; Alexander Sludds; Ronald Davis; Ian Christen; Liane Bernstein; Tobias Heuser; Niels Heermeier; James A. Lott; Stephan Reitzenstein; Ryan Hamerly; Dirk R. Englund (CoRR, 2022)

Annealing-inspired training of an optical neural network with ternary weights. - Anas Skalli; Mirko Goldmann; Nasibeh Haghighi; Stephan Reitzenstein; James A. Lott; Daniel Brunner (CoRR, 2024)

Experimental reservoir computing with diffractively coupled VCSELs. - Moritz Pflüger; Daniel Brunner; Tobias Heuser; James A. Lott; Stephan Reitzenstein; Ingo Fischer (CoRR, 2024)

Model-free front-to-end training of a large high performance laser neural network. - Anas Skalli; Satoshi Sunada; Mirko Goldmann; Marcin Gebski; Stephan Reitzenstein; James A. Lott; Tomasz Czyszanowski; Daniel Brunner (CoRR, 2025)