SP Technology (South Korea)

Recent papers from SP Technology (South Korea)

1. Mixture of experts architectures for machine learning interatomic potentialsnpj Artificial Intelligence · 2026
2. IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological agingGenome biology · 2026
3. A Biomimetic Single‐Atom Nanozyme With a Substrate Pocket for Accurate and Continuous Sweat Glucose MonitoringAdvanced Materials · 2026
4. Automating Computational Chemistry Workflows via OpenClaw and Domain-Specific SkillsJournal of Chemical Theory and Computation · 2026
5. Diffraction‐Native Representation Learning for Automatic Symmetry Recognition and Structural RetrievalAdvanced Functional Materials · 2026
6. RxnBench: A Multimodal Benchmark for Evaluating Large Language Models on Chemical Reaction Understanding from the Scientific LiteratureJournal of Chemical Information and Modeling · 2026
7. Assessment of the lateral sealing capacity of fault-controlled gas reservoirs across various temporal stagesGeomechanics and Geophysics for Geo-Energy and Geo-Resources · 2026
8. Deep learning-based classification of superficial femoral arterial lesions: a pilot studyAnnals of Surgical Treatment and Research · 2026
9. Toward Generalizable Data-Driven Pharmacokinetics with Interpretable Neural ODEsJournal of Chemical Information and Modeling · 2026
10. Accelerate the Highly Efficient Development of mRNA Vaccines Through Advanced Computational MethodsMedComm · 2026
11. SARS-CoV-2 S assembly into virions facilitated by host ERM proteinsProceedings of the National Academy of Sciences · 2026
12. ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and ReasoningAdvanced Intelligent Discovery · 2026
13. Integrating deep-learning-based magnetic model and non-collinear spin-constrained method: methodology, implementation and applicationnpj Computational Materials · 2026
14. Evaluation of lateral sealing capability of fault-controlled gas storage at different periodsScientific Reports · 2026
15. DBMLFF: linear scaling machine learning force fields via electron density decomposition for molecular electrolytesDigital Discovery · 2026
16. Developments in Solar Heat ApplicationsSolarPACES Conference Proceedings · 2025
17. Hydrogen Bond-Assisted Two-Component Lipid Nanoparticles for Spleen-Specific mRNA DeliveryJournal of the American Chemical Society · 2025
18. Hydrogen Bond-Assisted Two-Component Lipid Nanoparticles for Spleen-Specific mRNA DeliveryJournal of the American Chemical Society · 2025
19. dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data SetsJournal of Chemical Information and Modeling · 2025
20. Virtual characterization via knowledge-enhanced representation learning: from organic conjugated molecules to devicesnpj Computational Materials · 2025