Fractional viscoelastic rough contact models reproduce logarithmic aging but erase prior memory and lack any decreasing contact area phase after unloading; this holds for all linear viscoelastic models, requiring additional local internal variables.
F1000Research (2021)
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
citation-role summary
method 1
citation-polarity summary
roles
method 1polarities
use method 1representative citing papers
An open-source Snakemake workflow fully automates NEB reaction path calculations with ML potentials and recovers the known HCN-HNC energy profile without manual steps.
Traxia is a proposed agent-native scientific publishing framework with five formalised components: agent identity registry, verifiable publishing layer, four-tier peer review, reputation engine, and knowledge graph with contradiction detection.
CovAngelo implements a QM/QM/MM embedding model using quantum-information metrics to compute reaction energy profiles and barriers for covalent drug binding at lower cost than conventional methods, demonstrated on zanubrutinib to BTK.
NBI-Slurm delivers a Perl-based interface to SLURM with job-viewing TUIs, bioinformatic tool wrappers, and an eco mode that automatically shifts flexible jobs to low-energy periods.
citing papers explorer
-
Reproducible Orchestration of Best Practices for Reaction Path Optimization with the Nudged Elastic Band
An open-source Snakemake workflow fully automates NEB reaction path calculations with ML potentials and recovers the known HCN-HNC energy profile without manual steps.
-
Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
Traxia is a proposed agent-native scientific publishing framework with five formalised components: agent identity registry, verifiable publishing layer, four-tier peer review, reputation engine, and knowledge graph with contradiction detection.
-
CovAngelo: A hybrid quantum-classical computing platform for accurate and scalable drug discovery
CovAngelo implements a QM/QM/MM embedding model using quantum-information metrics to compute reaction energy profiles and barriers for covalent drug binding at lower cost than conventional methods, demonstrated on zanubrutinib to BTK.
-
NBI-Slurm: Simplified submission of Slurm jobs with energy saving mode
NBI-Slurm delivers a Perl-based interface to SLURM with job-viewing TUIs, bioinformatic tool wrappers, and an eco mode that automatically shifts flexible jobs to low-energy periods.