Tootfinder

These days you can simulate anything you want
Driving a train or truck, flying a plane, surgeon, hotel assistant, motel operator, influencer, OF model, goat simulator, power wash simulator, football team manager, breakup simulator
When I was a kid, we barely had sim city, sim ant, flight stimulator, crazy taxi, and katamari
Now you can simulate being a tree or a rock, or a corporate slave tearing apart spaceships

Cowboys Get Terrible News On Playoff Chances Following Vikings Loss https://heavy.com/sports/nfl/dallas-cowboys/cowboys-playoffs-one-percent-chance/

Ran into a problem in prod?
Just generate a fake cloudflare error page and blame it on them - gives you time to fix.
https://www.opensourceprojects.dev/post/107c3644-93cc-42b2-8b2c-7069ad4c8e58
(found on @…

A Quantum Generative Framework for Modeling Single-Cell Transcriptomes with Gene-Gene and Cell-Cell Interactions
Selim Romero, Vignesh Kumar, Robert S. Chapkin, James J. Cai
https://arxiv.org/abs/2510.12776

A Quantum Generative Framework for Modeling Single-Cell Transcriptomes with Gene-Gene and Cell-Cell Interactions
Single-cell RNA sequencing (scRNA-seq) data simulation is limited by classical methods that rely on linear correlations, failing to capture the intrinsic, nonlinear dependencies and the simultaneous gene-gene and cell-cell interactions. We introduce qSimCells, a novel hybrid quantum-classical simulator that leverages quantum entanglement to model single-cell transcriptomes. The core innovation is a quantum kernel that uses a parameterized quantum circuit with CNOT gates to encode complex, nonli…

Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems
Mostafa Eslami, Maryam Babazadeh
https://arxiv.org/abs/2509.11688 https://

Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems
The control of robotic systems in complex, shared collaborative workspaces presents significant challenges in achieving robust performance and safety when learning from experienced or simulated data is employed in the pipeline. A primary bottleneck is the reliance on coordinate-dependent models, which leads to profound data inefficiency by failing to generalize physical interactions across different frames of reference. This forces learning algorithms to rediscover fundamental physical principl…

Simulation of radiation environment for the beam monitor of CEE experiment
Qian Wang, Hulin Wang, Chaosong Gao, Jun Liu, Xianglun Wei, Junshuai Liu, Zhen Wang, Ran Chen, Peng Ma, Haibo Yang, Chengxin Zhao, Mingmei Xu, Shusu Shi, Xiangming Sun, Feng Liu
https://arxiv.org/abs/2509.11148

Simulation of radiation environment for the beam monitor of CEE experiment
The cooling storage ring external-target experiment is a large-scale nuclear physics experiment, which aims to study the physics of heavy-ion collisions at low temperatures and high baryon densities. A beam monitor (BM) is placed in the beam line to monitor the beam status and to improve the reconstruction resolution of the primary vertices. The radiation dose and particle fluence stemming from the beam interactions with gases and detector materials affect the performance of the sensors and ele…

Interaction-Driven Asymmetry in the Breakdown of the $\nu$ = 1 Quantum Hall State
Hoai Anh Ho, Jian Huang, L. N. Pfeiffer, K. W. West
https://arxiv.org/abs/2509.10958 https://…

Interaction-Driven Asymmetry in the Breakdown of the $ν$ = 1 Quantum Hall State
We report real-time detection of longitudinal and transverse transport responses across distinct frequency bands in a ferromagnetic filling factor $ν$ = 1 integer quantum Hall state. By tuning $ν$, we simultaneously access the evolution of the screening environment and bulk excitation structure. The resulting asymmetric breakdown, for $ν>1$ and $ν<1$, reveals that interaction effects, rather than a single-particle band picture, dominate the transport instability. Our findings highlight the …

Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial Infarction Risk in African Americans following Omega-3 Fatty Acid Supplementation
Shudong Sun, Aki Hara, Laurel Johnstone, Brian Hallmark, Joseph C. Watkins, Cynthia A. Thomson, Susan M. Schembre, Susan Sergeant, Jason Umans, Guang Yao, Hao Helen Zhang, Floyd H. Chilton

Optimal Pair Matching Combined with Machine Learning Predicts a Significant Reduction in Myocardial Infarction Risk in African Americans following Omega-3 Fatty Acid Supplementation
Conflicting clinical trial results on omega-3 highly unsaturated fatty acids (n-3 HUFA) have prompted uncertainty about their cardioprotective effects. While the VITAL trial found no overall cardiovascular benefit from n-3 HUFA supplementation, its substantial African American (AfAm) enrollment provided a unique opportunity to explore racial differences in response to n-3 HUFA supplementation. The current observational study aimed to simulate randomized clinical trial (RCT) conditions by matchi…

Time-Dilation Methods for Extreme Multiscale Timestepping Problems
Philip F. Hopkins, Elias R. Most
https://arxiv.org/abs/2510.09756 https://arxiv.org/pdf/…

Time-Dilation Methods for Extreme Multiscale Timestepping Problems
Many astrophysical simulations involve extreme dynamic range of timescales around 'special points' in the domain (e.g. black holes, stars, planets, disks, galaxies, shocks, mixing interfaces), where processes on small scales couple strongly to those on large scales. Adaptive resolution, multi-physics, and hybrid numerical methods have enabled tremendous progress on the spatial, physics, and numerical challenges involved. But often the limiter for following the long timescales of global evolutio…

MEGATRON: Reproducing the Diversity of High-Redshift Galaxy Spectra with Cosmological Radiation Hydrodynamics Simulations
Harley Katz, Martin P. Rey, Corentin Cadiou, Oscar Agertz, Jeremy Blaizot, Alex J. Cameron, Nicholas Choustikov, Julien Devriendt, Uliana Hauk, Gareth C. Jones, Taysun Kimm, Isaac Laseter, Sergio Martin-Alvarez, Kosei Matsumoto, Autumn Pearce, Francisco Rodr\'iguez Montero, Joki Rosdahl, Mahsa Sanati, Aayush Saxena, Adrianne Slyz, Richard Stiskalek, Anatole Stor…

MEGATRON: Reproducing the Diversity of High-Redshift Galaxy Spectra with Cosmological Radiation Hydrodynamics Simulations
We present the MEGATRON suite of cosmological radiation hydrodynamics simulations following the formation of Milky Way-mass galaxies from the earliest cosmic epochs when Population III stars form to Cosmic Noon. The suite represents the first set of cosmological simulations that couples a vast non-equilibrium thermochemistry network of primordial species, metals, and molecules to multifrequency, on-the-fly radiation transport, allowing us to directly predict the spectral properties of early gal…