Dong Li
18 articles listing Dong Li in Nature Communications, Science Advances, Scientific Data, Journal of Econometrics, indexed by Paperzzz from Crossref and OSF.
- Dual-function floating-gate memory driver for energy-efficient integrated display–illumination system Nature Communications
- Octameric dGTPase assemblies mediate broad anti-phage defense Nature Communications
- Modeling network evolution by multi-agent reinforcement learning Nature Communications
- Ultrafast non-volatile charge storage and mid-infrared photoluminescence in LuminoMem tellurium devices for in-memory computing Nature Communications
- Comprehensive mutagenesis defines the functional landscape of human α-tubulin PNAS
- Contrast-sparing CT using renal-clearable gold nanoclusters for early spatial mapping of renal dysfunction Science Advances
- Interpretable deep learning framework for mapping E3–substrate binding interfaces Nature Communications
- Medium-scale integrated circuits based on p-type 2D semiconducting MoTe2 Nature Communications
- Room-temperature ferrimagnetism and polar phase in strained La2CoRuO6 films through 3d-4d cation engineering Nature Communications
- Boosting capacitive energy storage in relaxor ferroelectrics through polymorphic phase engineering Science Advances
- 35 metagenomic datasets from the northern and southern parts of the Yap trench sediments Scientific Data
- A Chinese Elementary Science Question Dataset in Problem-Solving Process Generation Scientific Data
- De novo variants in the splicing factor gene SF3B1 are associated with neurodevelopmental disorders Nature Communications
- Evidence of a two-dimensional nitrogen crystalline structure on silver surfaces Nature Communications
- Bio-inspired cross-modal super-additive plasticity for seamless visual processing-in-sensory and -in-memory Nature Communications
- A movable long-term implantable soft microfibre for dynamic bioelectronics Nature
- Factor-guided estimation of large covariance matrix function with conditional functional sparsity Journal of Econometrics
- Bayesian deep-learning structured illumination microscopy enables reliable super-resolution imaging with uncertainty quantification Nature Communications