Tootfinder

As some of you know, the first digital interactive fiction I created was a bot. That was in 2002.
I was just going through some old pages on my website and found an article I wrote for the (unfortunately no-longer online) site that Mark Marino, Jeremy Douglass and I ran in the early 2000s: Writer Response Theory.
Anyway, I found this piece I had copied for some reason and thought I would share it. It's on another historical angle people explored bots through. :)

Check out my new post on #HealOurCulture: Frederick Douglass on White Evangelicals
https://healourculture.org/2025/06/20/frederick-douglass-on-white-evangelicals…

Impact of Gravity Waves From Tropospheric and Non-tropospheric Sources on the Middle and Upper Atmosphere and Comparison with ICON/MIGHTI Winds
Erdal Yi\u{g}it, Alexander S. Medvedev, Ayden L. S. Gann, Gary P. Klaassen, Douglas E. Rowland
https://arxiv.org/abs/2506.14918

Impact of Gravity Waves From Tropospheric and Non-tropospheric Sources on the Middle and Upper Atmosphere and Comparison with ICON/MIGHTI Winds
We study the dynamical and thermal roles of internal gravity waves generated in the troposphere and above using the Coupled Middle Atmosphere Thermosphere-2 General Circulation Model. This model incorporates the whole atmosphere nonlinear gravity wave parameterization and its extension to include non-tropospheric sources. We conducted model experiments for northern summer solstice conditions, first including only tropospheric sources, then including sources localized at 50 and 90 km, and unifor…

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
Dimitrios Proios, Alban Bornet, Anthony Yazdani, Jose F Rodrigues Jr, Douglas Teodoro
https://arxiv.org/abs/2506.06192

ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts
Patient stratification identifying clinically meaningful subgroups is essential for advancing personalized medicine through improved diagnostics and treatment strategies. Electronic health records (EHRs), particularly those from intensive care units (ICUs), contain rich temporal clinical data that can be leveraged for this purpose. In this work, we introduce ICU-TSB (Temporal Stratification Benchmark), the first comprehensive benchmark for evaluating patient stratification based on temporal pat…

A Cubic Regularization Method for Multiobjective Optimization
Douglas S. Gon\c{c}alves, Max L. N. Gon\c{c}alves, Jefferson G. Melo
https://arxiv.org/abs/2506.08181

A Cubic Regularization Method for Multiobjective Optimization
This work introduces a new cubic regularization method for nonconvex unconstrained multiobjective optimization problems. At each iteration of the method, a model associated with the cubic regularization of each component of the objective function is minimized. This model allows approximations for the first- and second-order derivatives, which must satisfy suitable error conditions. One interesting feature of the proposed algorithm is that the regularization parameter of the model and the accura…

First-Principles and Machine Learning Investigation of the Structural and Optoelectronic Properties of Dodecaphenylyne: A Novel Carbon Allotrope
Kleuton A. L. Lima, Jose A. S. Laranjeira, Nicolas F. Martins, Julio R. Sambrano, Alexandre C. Dias, Luiz A. Ribeiro Junior, Douglas S. Galvao
https://arxiv.org/abs/2506.02218

First-Principles and Machine Learning Investigation of the Structural and Optoelectronic Properties of Dodecaphenylyne: A Novel Carbon Allotrope
We report the computational discovery and characterization of Dodecaphenylyne (DP), a novel carbon allotrope with a distinctive geometric arrangement. DP structural, thermodynamic, mechanical, electronic, and optical properties were evaluated using density functional theory and a machine learning interatomic potential trained explicitly for this material. The formation energy of -7.98 eV/atom indicates high thermodynamic stability, further supported by the absence of imaginary phonon modes and …

TPHE-Graphene: A First-Principles Study of a New 2D Carbon Allotrope for Hydrogen Storage
Jos\'e A. S. Laranjeira, Nicolas F. Martins, Kleuton A. L. Lima, Luis A. Cabral, Luiz A. Ribeiro, Douglas S. Galv\~ao, Julio R. Sambrano
https://arxiv.org/abs/2506.00609

TPHE-Graphene: A First-Principles Study of a New 2D Carbon Allotrope for Hydrogen Storage
The shift from fossil fuels to renewable energy sources is essential for reducing global carbon emissions and addressing climate change. Developing advanced materials for efficient hydrogen storage enables sustainable energy solutions in this context. Herein, we propose sodium-decorated TPHE-graphene as a high-performance two-dimensional material for hydrogen storage. Density functional theory (DFT) calculations demonstrate that TPHE-graphene exhibits dynamical, thermal, energetic, and mechanic…

Potassium Decoration on Graphenyldiene Monolayer for Advanced Reversible Hydrogen Storage
Jose A. S. Laranjeira, Nicolas F. Martins, Kleuton A. L. Lima, Bill. D. Aparicio-Huacarpuma, Luiz A. Ribeiro Junior, Xihao Chen, Douglas S. Galvao, Julio R. Sambrano
https://arxiv.org/abs/2506.00604…

Potassium Decoration on Graphenyldiene Monolayer for Advanced Reversible Hydrogen Storage
Potassium-decorated graphenyldiene (K@GPD) is investigated as a promising two-dimensional material for reversible hydrogen storage using first-principles density functional theory calculations. Potassium atoms bind strongly to the GPD monolayer, and ab initio molecular dynamics (AIMD) simulations confirm the thermal stability of the functionalized system at 300 K. Hydrogen adsorption energies range from -0.11 to -0.14 eV per H$_2$, denoting reversible storage. At full coverage (18 H$_2$ molecul…