3 papers
cond-mat.soft2025
Dehydration-Driven Ion Aggregation and the Onset of Gelation in ZnCl Solution
Alexei V. Tkachenko, Chuntian Cao, Amy C. Marschilok +1
A minimal model of ionic aggregation in concentrated ZnCl is developed, guided by molecular dynamics simulations with a machine-learned potential. It explicitly incorporates so…
cond-mat.stat-mech2025
Thermodynamic bounds on energy use in quasi-static Deep Neural Networks
Alexei V. Tkachenko
The rapid growth of deep neural networks (DNNs) has brought increasing attention to their energy use during training and inference. Here, we establish the thermodynamic bounds on e…
cond-mat.stat-mech2025
Evolutionary chemical learning in dimerization networks
Alexei V. Tkachenko, Bortolo Matteo Mognetti, Sergei Maslov
We present a novel framework for chemical learning based on Competitive Dimerization Networks (CDNs) - systems in which multiple molecular species, e.g. proteins or DNA/RNA oligome…