Evolutionary algorithms and computational methods for derivatives pricing. - Samuel Palmer (2019)

Peacock.jl: Photonic crystals in Julia. - Samuel Palmer; Vincenzo Giannini (J. Open Source Softw., 2020)

Quantum-Inspired Tensor Neural Networks for Partial Differential Equations. - Raj G. Patel; Chia-Wei Hsing; Serkan Sahin; Saeed S. Jahromi; Samuel Palmer; Shivam Sharma; Christophe Michel; Vincent Porte; Mustafa Abid; Stephane Aubert; Pierre Castellani; Chi-Guhn Lee; et al. (CoRR, 2022)

Financial Index Tracking via Quantum Computing with Cardinality Constraints. - Samuel Palmer; Konstantinos Karagiannis; Adam Florence; Asier Rodriguez; Roman Orus; Harish Naik; Samuel Mugel (CoRR, 2022)

Quantum-Inspired Tensor Neural Networks for Option Pricing. - Raj G. Patel; Chia-Wei Hsing; Serkan Sahin; Samuel Palmer; Saeed S. Jahromi; Shivam Sharma; Tomas Dominguez; Kris Tziritas; Christophe Michel; Vincent Porte; Mustafa Abid; Stephane Aubert; et al. (CoRR, 2022)

Application of Tensor Neural Networks to Pricing Bermudan Swaptions. - Raj G. Patel; Tomas Dominguez; Mohammad Dib; Samuel Palmer; Andrea Cadarso; Fernando De Lope Contreras; Abdelkader Ratnani; Francisco Gomez Casanova; Senaida Hernández-Santana; Álvaro Díaz Fernández; Eva Andrés; Jorge Luis-Hita; et al. (CoRR, 2023)

Tensor networks for explainable machine learning in cybersecurity. - Borja Aizpurua; Samuel Palmer; Román Orús (Neurocomputing, 2025)

Quantum-Inspired Solver for Simulating Material Deformations. - Mazen Ali; Aser Cortines; Siddhartha Morales; Samuel Mugel; Mireia Olave; Roman Orus; Samuel Palmer; Hodei Usabiaga (CoRR, 2025)