Tootfinder

I am straight and cis but I think it's so important to show solidarity.
This amazing short shows why. ❤️
https://youtu.be/UVepoXddTW4
[And I also think it works with that rainbow band. An additional pop of colour. 🏳️‍🌈 😉]

Coupling 1D stellar evolution with 3D-hydrodynamical simulations on-the-fly III: stellar evolution at different metallicities
Yixiao Zhou, Jakob L. R{\o}rsted, Achim Weiss, Andreas C. S. J{\o}rgensen, Cis Lagae, Luisa F. Rodr\'iguez D\'iaz, Yaguang Li, Mark L. Winther, Jens R. Larsen, J{\o}rgen Christensen-Dalsgaard, Oleg Kochukhov, Karen R. Pollard, Tanda Li

Coupling 1D stellar evolution with 3D-hydrodynamical simulations on-the-fly III: stellar evolution at different metallicities
A major weakness in one-dimensional (1D) stellar structure and evolution modeling is the simplified treatment of convection, which leads to erroneous near-surface stratification and considerable uncertainties in predicted effective temperatures and luminosities of low-mass stars. In a series of preceding works, a novel method for coupling 1D stellar structural models with a grid of 3D surface convection simulations during stellar evolution was developed, at solar metallicity. This 1D-3D couplin…

shoutout to cis men that follow me lmao

Delayed photoisomerisation of the trans-PSB3 retinal toy model using on-the-fly quantum dynamics
Mar\'ia Mallo, Susana G\'omez-Carrasco, Sandra G\'omez
https://arxiv.org/abs/2506.03811

Delayed photoisomerisation of the trans-PSB3 retinal toy model using on-the-fly quantum dynamics
We explore the trans-cis photoisomerisation process in a representative retinal protonated Schiff base known as trans-PSB3, employing the quantum dynamics method direct dynamics variational multiconfigurational gaussian -- DD-vMCG -- in full dimensionality, i.e., 36 degrees of freedom on potential energy surfaces computed on-the-fly using the SA(2)-CAS(6,6)SCF electronic structure method with the 6-31G basis set. Although the toy molecule has been extensively studied using trajectory methods su…

Hug a middle-aged cis white guy tomorrow.

Just read Fat Girls Dance by Cathleen Meredith, yet another semi-random venture into the currently-popular novels section of my library, rather than my recent YA staples. It's excellent. Fascinating and well-written just as fiction, but also empowering and perspective-upgrading (and I'm a married white cis man who is only beer-belly fat, plus already well into #BodyPositive thinking).
It bridges really well with Mama by Nikkya Hargrove, and with Does My Body Offend You by Mayra Cuevas and Marie Marquardt, both of which I went through recently. Yet another home fucking run for #OwnVoices, which felt extra good to read after Dream State was so disappointing. It really digs into and helps the reader explore body positivity just like Does My Body Offend You does with feminism.
#AmReading

PySEQM 2.0: Accelerated Semiempirical Excited State Calculations on Graphical Processing Units
Vishikh Athavale, Nikita Fedik, William Colglazier, Anders M. N. Niklasson, Maksim Kulichenko, Sergei Tretiak
https://arxiv.org/abs/2505.24807

PySEQM 2.0: Accelerated Semiempirical Excited State Calculations on Graphical Processing Units
We report the implementation of electronic excited states for semi-empirical quantum chemical methods at the configuration interaction singles (CIS) and time-dependent Hartree-Fock (TDHF) level of theory in the PySEQM software. Built on PyTorch, this implementation leverages GPU acceleration to significantly speed up molecular property calculations. Benchmark tests demonstrate that our approach can compute excited states for molecules with nearly a thousand atoms in under a minute. Additionally…

DeepPlantCRE: A Transformer-CNN Hybrid Framework for Plant Gene Expression Modeling and Cross-Species Generalization
Yingjun Wu, Jingyun Huang, Liang Ming, Pengcheng Deng, Maojun Wang, Zeyu Zhang
https://arxiv.org/abs/2505.09883

DeepPlantCRE: A Transformer-CNN Hybrid Framework for Plant Gene Expression Modeling and Cross-Species Generalization
The investigation of plant transcriptional regulation constitutes a fundamental basis for crop breeding, where cis-regulatory elements (CREs), as the key factor determining gene expression, have become the focus of crop genetic improvement research. Deep learning techniques, leveraging their exceptional capacity for high-dimensional feature extraction and nonlinear regulatory relationship modeling, have been extensively employed in this field. However, current methodologies present notable limi…