paulbogdan.bsky.social
@paulbogdan.bsky.social
Graph theory and multifractal graph analysis can explore the thermodynamic parameters among elements, identify possible favorable (miscible) pairs and their congeners and enable new artificial intelligence frameworks for engineering complexity and material discovery. doi.org/10.1002/advs...
Graph‐Theory Approach to Element Miscibility and Alloy Design
Graph and network theory enables pathway toward complex multiscale interactions between different elements for alloy design or interface engineering. Utilizing element's inherent properties and prefe....
doi.org
December 21, 2025 at 4:40 AM
🎉 Excited to share our NeurIPS 2025 paper on circuit representation learning! MIHC bridges topological netlist and geometric layout information for chip design tasks. An important step toward trustworthy AI in Electronic Design Automation.

📄 Read the full paper: openreview.net/pdf?id=YFQ0X...
openreview.net
November 28, 2025 at 6:47 AM
Fundamental to our existence, agriculture relies on consistent seed flow for seeding and seed collection. Over-reliance on toxic solid lubricants harms our ecosystems, pollinators and all of us.
authors.elsevier.com/c/1lurr_wvIm... shows graph theory enable the design of benign solid lubricant !
authors.elsevier.com
October 7, 2025 at 4:02 PM
Faced with brain sensing limitations, can we
+ Decipher the networks from neuronal spiking behavior?
+ Infer neuronal networks that are resilient to variations in circuit inputs?
+ Distinguish networks of cognitive tasks?

Congratulations to Ruochen Yang, Roozbeh Kiani, Heng Ping and Xiongye Xiao !
Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks - Nature Communications
Neuronal firing shows complex dynamical patterns not captured by conventional statistics. Here, authors perform the multifractal analysis of spike trains to reveal hidden temporal structures linked to...
www.nature.com
July 31, 2025 at 7:29 AM
How can we control non-Markovian dynamical systems? This ICML 2025 paper icml.cc/virtual/2025... or arxiv.org/abs/2502.04649 introduces a novel end-to-end machine learning framework for solving non-Markovian optimal control problems.
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lnkd.in
July 18, 2025 at 6:41 PM