Institute for History of Natural Sciences

Recent papers from Institute for History of Natural Sciences

1. A fourier neural operator-based subband-BTE solver for sub-10 nm ultra-scaled devicesScientific Reports · 2026
2. A Ferromagnetic Polar Metal With Efficient Electrical Switch of MagnetismAdvanced Materials · 2026
3. A Biomimetic Single‐Atom Nanozyme With a Substrate Pocket for Accurate and Continuous Sweat Glucose MonitoringAdvanced Materials · 2026
4. From Artificial Intelligence for Science to Autonomous Chemical Innovation: Closing the Loop in Energy and Chemical EngineeringClean Energy · 2026
5. Diffraction‐Native Representation Learning for Automatic Symmetry Recognition and Structural RetrievalAdvanced Functional Materials · 2026
6. Multidimensional security in Muay Thai practicePolitika nacionalne bezbednosti · 2026
7. Chen Changshu, Yuan Deyu, and the Northeastern School: Originary Contributions to Philosophy of Technology in ChinaEthics and Society · 2026
8. Addressing the dual challenges of scientific and technological risks: Deep dilemmas and system transformation in global governanceCultures of Science · 2026
9. A practical framework for rapid calculation of protein polarization energies with anisotropic atomic polarizabilitiesThe Journal of Chemical Physics · 2026
10. Liu Hui, the founder of the theoretical system of classical mathematics in ChinaCultures of Science · 2026
11. Computational discovery of High-Temperature Superconducting Ternary Hydrides via Deep LearningNational Science Review · 2026
12. A Novel Biosensor for Ferrous Iron Developed via CoBiSe: A Computational Method for Rapid Biosensor DesignACS Sensors · 2026
13. Genus Rosa L. in China: advances in resources and taxonomyOrnamental Plant Research · 2026
14. ABACUS: An electronic structure analysis package for the AI eraThe Journal of Chemical Physics · 2025
15. CRB-FCC: A Standardized Nontargeted Analysis for Formula Assignment and Structure AnnotationAnalytical Chemistry · 2025
16. A framework for evaluating cultural bias and historical misconceptions in LLMs outputsBenchCouncil Transactions on Benchmarks Standards and Evaluations · 2025
17. Ab initio high-throughput search methodology for next-generation power semiconductors candidatesJournal of Applied Physics · 2025
18. Harnessing Machine Learning to Enhance Transition State Search with Interatomic Potentials and Generative ModelsAdvanced Science · 2025
19. Learning Free Terminal Time Optimal Closed-loop Control of Manipulators2025
20. Machine learning driven ReaxFF optimization for combustionChinese Journal of Chemical Physics · 2025