Tootfinder

Impact of Force Field Polarization on Correlated Motions of Proteins
Ana Milinski (IGBMC), Annick Dejaegere (IGBMC), Roland Stote (IGBMC)
https://arxiv.org/abs/2510.04897 https:…

Impact of Force Field Polarization on Correlated Motions of Proteins
Correlated motions of proteins underpin many physiological mechanisms, such as substrate binding, signal transduction, enzymatic activity and allostery. These motions arise from low frequency collective movements of biomolecules and have mostly been studied using molecular dynamics simulations. Here, we present the effects of two different empirical energy force fields used for molecular dynamics simulations on correlated motions -- the non-polarizable CHARMM 36m additive force field and the po…

On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery
David Berghaus, Patrick Seifner, Kostadin Cvejoski, Ramses J. Sanchez
https://arxiv.org/abs/2510.12640

On Foundation Models for Temporal Point Processes to Accelerate Scientific Discovery
Many scientific fields, from medicine to seismology, rely on analyzing sequences of events over time to understand complex systems. Traditionally, machine learning models must be built and trained from scratch for each new dataset, which is a slow and costly process. We introduce a new approach: a single, powerful model that learns the underlying patterns of event data in context. We trained this "foundation model" on millions of simulated event sequences, teaching it a general-purpose understa…

Towards Proprioception-Aware Embodied Planning for Dual-Arm Humanoid Robots
Boyu Li, Siyuan He, Hang Xu, Haoqi Yuan, Yu Zang, Liwei Hu, Junpeng Yue, Zhenxiong Jiang, Pengbo Hu, B\"orje F. Karlsson, Yehui Tang, Zongqing Lu
https://arxiv.org/abs/2510.07882

Towards Proprioception-Aware Embodied Planning for Dual-Arm Humanoid Robots
In recent years, Multimodal Large Language Models (MLLMs) have demonstrated the ability to serve as high-level planners, enabling robots to follow complex human instructions. However, their effectiveness, especially in long-horizon tasks involving dual-arm humanoid robots, remains limited. This limitation arises from two main challenges: (i) the absence of simulation platforms that systematically support task evaluation and data collection for humanoid robots, and (ii) the insufficient embodime…