Tootfinder

Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
Christoph Weilenmann, Hanglin He, Marko Mladenovi\'c, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras
https://arxiv.org/abs/2509.22767

Conductance-dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
Modern computers perform pre-defined operations using static memory components, whereas biological systems learn through inherently dynamic, time-dependent processes in synapses and neurons. The biological learning process also relies on global signals - neuromodulators - who influence many synapses at once depending on their dynamic, internal state. In this study, using optical radiation as a global neuromodulatory signal, we investigate nanoscale SrTiO3 (STO) memristors that can act as solid-…

Efficient Quantum Protein Structure Prediction with Problem-Agnostic Ansatzes
Hanna Linn, Rui-Hao Li, Alexander Holden, Abdullah Ash Saki, Frank DiFilippo, Tomas Radivoyevitch, Daniel Blankenberg, Laura Garc\'ia-\'Alvarez, G\"oran Johansson
https://arxiv.org/abs/2509.18263

Nonequilibrium protein complexes as molecular automata
Jan Kocka, Kabir Husain, Jaime Agudo-Canalejo
https://arxiv.org/abs/2508.15603 https://arxiv.org/pdf…

Nonequilibrium protein complexes as molecular automata
Biology stores information and computes at the molecular scale, yet the ways in which it does so are often distinct from human-engineered computers. Mapping biological computation onto architectures familiar to computer science remains an outstanding challenge. Here, inspired by Crick's proposal for molecular memory, we analyse a thermodynamically-consistent model of a protein complex subject to driven, nonequilibrium enzymatic reactions. In the strongly driven limit, we find that the system ma…