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Author

Cheng Zhang

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Open access Sep 2026

Chemical Descriptors and Deep Learning Embeddings for Scoring de novo Peptide Designs

Peptides occupy a valuable niche between small molecules and biologics, but the clinical translation of de novo peptide designs requires rigorous scoring to simultaneously optimise target binding affinity alongside multiple developability traits, including stability, membrane permeability, aggregation propensity, and n...

Quentin Trolliet, A. Abrudan, Aryan Bhasin et al. · 0 citations
Conference Aug 2026

Discovery of High-Performance Low-k Interconnect Materials via Multi-Target Machine Learning Model

With the continuous development of the semiconductor industry in terms of miniaturization and performance improvement, the demand for high-frequency and energy-efficient semiconductor devices, traditional dielectric materials, represented by dense amorphous silicon dioxide (SiO2) grown via thermal oxidation or CVD, whi...

Liang Cao, Meng-Han Li, Dan Xu et al. · 0 citations

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