The Impact of Technologies in Political Campaigns. - Moritz Hoferer; Lucas Böttcher; Hans J. Herrmann; Hans Gersbach (CoRR, 2019)

A Random-Line-Graph Approach to Overlapping Line Segments. - Lucas Böttcher (J. Complex Networks, 2020)

Learning the Ising Model with Generative Neural Networks. - Francesco D'Angelo; Lucas Böttcher (CoRR, 2020)

Unifying susceptible-infected-recovered processes on networks. - Lucas Böttcher; Nino Antulov-Fantulin (CoRR, 2020)

NNC: Neural-Network Control of Dynamical Systems on Graphs. - Thomas Asikis; Lucas Böttcher; Nino Antulov-Fantulin (CoRR, 2020)

The great divide: drivers of polarization in the US public. - Lucas Böttcher; Hans Gersbach (EPJ Data Sci., 2020)

Random-graph models and characterization of granular networks. - Silvia Nauer; Lucas Böttcher; Mason A. Porter (J. Complex Networks, 2021)

Implicit energy regularization of neural ordinary-differential-equation control. - Lucas Böttcher; Nino Antulov-Fantulin; Thomas Asikis (CoRR, 2021)

Tradeoffs in Hierarchical Voting Systems. - Lucas Böttcher; Georgia Kernell (CoRR, 2021)

Classical and Quantum Random-Walk Centrality Measures in Multilayer Networks. - Lucas Böttcher; Mason A. Porter (SIAM J. Appl. Math., 2021)

Contagion Dynamics in Complex Networks. - Lucas Böttcher (Automata and Complexity, 2022)

Solving Inventory Management Problems with Inventory-dynamics-informed Neural Networks. - Lucas Böttcher; Thomas Asikis; Ioannis Fragkos (CoRR, 2022)

Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems. - Mingtao Xia; Lucas Böttcher; Tom Chou (CoRR, 2022)

Visualizing high-dimensional loss landscapes with Hessian directions. - Lucas Böttcher; Gregory R. Wheeler (CoRR, 2022)

Complex networks with complex weights. - Lucas Böttcher; Mason A. Porter (CoRR, 2022)

Epidemic management and control through risk-dependent individual contact interventions. - Tapio Schneider; Oliver R. A. Dunbar; Jinlong Wu; Lucas Böttcher; Dmitry Burov; Alfredo Garbuno-Inigo; Gregory LeClaire Wagner; Sen Pei; Chiara Daraio; Raffaele Ferrari; Jeffrey Shaman (PLoS Comput. Biol., 2022)

Controlling Epidemics Through Optimal Allocation of Test Kits and Vaccine Doses Across Networks. - Mingtao Xia; Lucas Böttcher; Tom Chou (IEEE Trans. Netw. Sci. Eng., 2022)

Near-optimal control of dynamical systems with neural ordinary differential equations. - Lucas Böttcher; Thomas Asikis (Mach. Learn. Sci. Technol., 2022)

Impact of random and targeted disruptions on information diffusion during outbreaks. - Hosein Masoomy; Tom Chou; Lucas Böttcher (CoRR, 2023)

Gradient-free training of neural ODEs for system identification and control using ensemble Kalman inversion. - Lucas Böttcher (CoRR, 2023)

Control of Dual-Sourcing Inventory Systems Using Recurrent Neural Networks. - Lucas Böttcher; Thomas Asikis; Ioannis Fragkos (INFORMS J. Comput., 2023)

Erratum: Classical and Quantum Random-Walk Centrality Measures in Multilayer Networks. - Lucas Böttcher; Mason A. Porter (SIAM J. Appl. Math., 2023)

Dynamical processes on metric networks. - Lucas Böttcher; Mason A. Porter (CoRR, 2024)

Metamodeling and Control of Medical Digital Twins. - Luis L. Fonseca; Lucas Böttcher; Borna Mehrad; Reinhard C. Laubenbacher (CoRR, 2024)

Control of Medical Digital Twins with Artificial Neural Networks. - Lucas Böttcher; Luis L. Fonseca; Reinhard C. Laubenbacher (CoRR, 2024)

Organizational Selection of Innovation. - Lucas Böttcher; Ronald Klingebiel (CoRR, 2024)

Statistical Mechanics and Artificial Neural Networks: Principles, Models, and Applications. - Lucas Böttcher; Gregory R. Wheeler (CoRR, 2024)

Clustering-induced localization of quantum walks on networks. - Lucas Böttcher; Mason A. Porter (CoRR, 2024)

Aggregating multiple test results to improve medical decision-making. - Lucas Böttcher; Maria R. D'Orsogna; Tom Chou (PLoS Comput. Biol., 2025)

Optimal control of agent-based models via surrogate modeling. - Luis L. Fonseca; Lucas Böttcher; Borna Mehrad; Reinhard C. Laubenbacher (PLoS Comput. Biol., 2025)

Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley-Terry Model. - Yurun Ge; Lucas Böttcher; Tom Chou; Maria R. D'Orsogna (CoRR, 2025)