funded by grants from the Spanish Ministry of Science,Innovation and Universities(Ref.PID2019-110356RB-I00/AEI/10.13039/501100011033)to JFI and ES;the Department of Economic and Business Development from Government of Navarra(Ref.0011-1411-2023-000028 to ES);supported by a predoctoral fellowship from the Public University of Navarra(UPNA);supported by a postdoctoral fellowship from Miguel Servet Foundation-Navarrabiomed;supported by“Programa MRR Investigo 2023”in the framework of the European Union recovery and resilience facility。
Data-driven drug repositioning using olfactory omics profiles-challenges and perspectives in neurodegeneration:Neurodegenerative diseases are characterized by progressive degeneration and loss of neuronal function in ...
the support from Stanford;the support from CUHK;HKU
The advancement of materials has played a pivotal role in the advancement of human civilization,and the emergence of artificial intelligence(AI)-empowered materials science heralds a new era with substantial potential...
AI-driven materials databases are transforming research by integrating experimental and computational data to enhance discovery and optimization.Platforms such as Digital Catalysis Platform(DigCat)and Dynamic Database...
supported by the National Key R&D Program of China(No.2022YFB3808803);the National Natural Science Foundation of China(No.52371049);the National Science and Technology Resources Investigation Program of China(No.2021FY100603).
The corrosion degradation of organic coatings in tropical marine atmospheric environments results in substantial economic losses across various industries.The complexity of a dynamic environment,combined with high cos...
supported by the Jiangsu Provincial Science and Technology Project Basic Research Program(Natural Science Foundation of Jiangsu Province)(No.BK20211283).
NJmat is a user-friendly,data-driven machine learning interface designed for materials design and analysis.The platform integrates advanced computational techniques,including natural language processing(NLP),large lan...
supported by the Strategic Research and Consulting Project of the Chinese Academy of Engineering[grant number 2024-XBZD-14];the National Natural Science Foundation of China[grant numbers 42192553 and 41922036];the Fundamental Research Funds for the Central Universities–Cemac“GeoX”Interdisciplinary Program[grant number 020714380207]。
The impacts of lateral boundary conditions(LBCs)provided by numerical models and data-driven networks on convective-scale ensemble forecasts are investigated in this study.Four experiments are conducted on the Hangzho...
When assessing seismic liquefaction potential with data-driven models,addressing the uncertainties of establishing models,interpreting cone penetration tests(CPT)data and decision threshold is crucial for avoiding bia...
Permanent magnet synchronous motor(PMSM)is widely used in alternating current servo systems as it provides high eficiency,high power density,and a wide speed regulation range.The servo system is placing higher demands...
supported in part by the Croatian Science Foundation and the European Union through the European Social Fund under the Project of Flexibility of Converter-based Micro-grids—FLEXIBASE(PZS-2019-02-7747);in part by the European Structural and Investment Funds under KK.01.2.1.02.0066 Electric Vehicle Charging Station with Integrated Battery Storage.
Electricity price forecasting plays a vital role inthe strategy decision making for almost all power marketparticipants. This article investigates statistical background andpotential relations between different power ...
supported by the National Natural Science Foundation of China(Grant Nos.42471116 and 41988101)。
Soils represent the largest contributor to global nitrous oxide(N_(2)O)emissions.However,current research efforts predominantly focus on N_(2)O emissions from agricultural soils,while studies on N_(2)O emissions from ...