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From Data to Discovery:How AI-Driven Materials Databases Are Reshaping Research: 《Computers, Materials & Continua》2025年第5期1555-1559,共5页Yaping Qi Weijie Yang; 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...; 关键词：DATA-DRIVEN materials database AI assistant materials design

Bidirectional LSTM-Based Energy Consumption Forecasting:Advancing AI-Driven Cloud Integration for Cognitive City Energy Management: 《Computers, Materials & Continua》2025年第5期2907-2926,共20页Sheik Mohideen Shah Meganathan Selvamani Mahesh Thyluru Ramakrishna Surbhi Bhatia Khan Shakila Basheer Wajdan Al Malwi Mohammad Tabrez Quasim; supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R195),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.; Efficient energy management is a cornerstone of advancing cognitive cities,where AI,IoT,and cloud computing seamlessly integrate to meet escalating global energy demands.Within this context,the ability to forecast ele...; 关键词：Deep learning bidirectional LSTM energy consumption forecasting time-series analysis predictive modeling machine learning in energy management

Provable Data Possession with Outsourced Tag Generation for AI-Driven E-Commerce: 《Computers, Materials & Continua》2025年第5期2719-2734,共16页Yi Li Wenying Zheng Yu-Sheng Su Meiqin Tang; funded by the Taiwan Comprehensive University System and the National Science and Technology Council of Taiwan under grant number NSTC 111-2410-H-019-006-MY3;Additionally,this work was financially/partially supported by the Advanced Institute of Manufacturing with High-tech Innovations(AIM-HI)from the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education(MOE)in Taiwan;the National Natural Science Foundation of China,No.62402444;the Zhejiang Provincial Natural Science Foundation of China,No.LQ24F020012.; AI applications have become ubiquitous,bringing significant convenience to various industries.In e-commerce,AI can enhance product recommendations for individuals and provide businesses with more accurate predictions ...; 关键词：Provable data possession data auditing cloud computing E-COMMERCE bloom filter

InvDesFlow: An AI-Driven Materials Inverse Design Workflow to Explore Possible High-Temperature Superconductors: 《Chinese Physics Letters》2025年第4期85-98,共14页Xiao-Qi Han Zhenfeng Ouyang Peng-Jie Guo Hao Sun Ze-Feng Gao Zhong-Yi Lu; financially supported by the National Natural Science Foundation of China(Grant Nos.62476278,12434009,and 12204533);the National Key R&D Program of China(Grant No.2024YFA1408601);the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0302402)。; The discovery of new superconducting materials,particularly those exhibiting high critical temperature(Tc),has been a vibrant area of study within the field of condensed matter physics.Conventional approaches primaril...; 关键词：physical intuition superconducting materialsparticularly condensed matter physicsconventional high temperature superconductors AI driven materials exploration inverse design

AI-Driven Research Ecosystem: Unifying Human-AI Collaboration Models and New Research Thinking Paradigms: 《教育技术与创新》2025年第1期39-53,共15页Feng Xiong Xinguo Yu Hon Wai Leong Anran Ma; funded by the General Program of the National Natural Science Foundation of China grant number 62277022.; The integration of artificial intelligence(AI)is fundamentally reshaping the scientific research,giving rise to a new era of discovery and innovation.This paper explores this transformative shift,introducing an innova...; 关键词：AI research ecosystem human–AI collaboration research thinking research paradigm

Endogenous Security Through AI-Driven Physical-Layer Authentication for Future 6G Networks: 《ZTE Communications》2025年第1期18-29,共12页MENG Rui FAN Dayu XU Xiaodong LYU Suyu TAO Xiaofeng; To ensure the access security of 6G,physical-layer authentication(PLA)leverages the randomness and space-time-frequency uniqueness of the channel to provide unique identity signatures for transmitters.Furthermore,the ...; 关键词：physical-layer authentication artificial intelligence wireless security intelligent authentication

Integrating Knowledge Graphs and Causal Inference for AI-Driven Personalized Learning in Education: 《Artificial Intelligence Education Studies》2025年第1期41-52,共12页Liangkeyi SUN; Artificial Intelligence(AI)has revolutionized education by enabling personalized learning experiences through adaptive platforms.However,traditional AI-driven systems primarily rely on correlation-based analytics,lim-...; 关键词：Artificial Intelligence in Education Knowledge Graphs Causal Inference Personalized Learning Adap-tive Learning Systems

AI-Driven Governance:Enhancing Transparency and Accountability in Public Administration: 《数字社会与虚拟治理》2025年第1期1-16,共16页Changkui LI; Artificial Intelligence(AI)is transforming public administration by improving efficiency,en-hancing transparency,and facilitating data-driven decision-making.This paper explores the integration of AI in government dec...; 关键词：Artificial Intelligence Public Administration TRANSPARENCY ACCOUNTABILITY AI ETHICS

AI-driven antibody design with generative diffusion models:current insights and future directions: 《Acta Pharmacologica Sinica》2025年第3期565-574,共10页Xin-heng He Jun-rui Li James Xu Hong Shan Shi-yi Shen Si-han Gao H.Eric Xu; supported by the Lingang Laboratory,Grant No.LG-GG-202204-01;the National Natural Science Foundation(82121005,32130022);CAS Strategic Priority Research Program(XDB37030103);Shanghai Municipal Science and Technology Major Project(2019SHZDZX02).; Therapeutic antibodies are at the forefront of biotherapeutics,valued for their high target specificity and binding affinity.Despite their potential,optimizing antibodies for superior efficacy presents significant cha...; 关键词：ANTIBODIES generative model diffusion de novo antibody design CDR optimization model evaluation

AI-Driven Inverse Design of Materials:Past,Present,and Future: 《Chinese Physics Letters》2025年第2期135-174,共40页Xiao-Qi Han Xin-De Wang Meng-Yuan Xu Zhen Feng Bo-Wen Yao Peng-Jie Guo Ze-Feng Gao Zhong-Yi Lu; financially supported by the National Natural Science Foundation of China(Grant Nos.62476278,12434009,and 12204533);supported by the National Key R&D Program of China(Grant No.2024YFA1408601);the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0302402)。; The discovery of advanced materials is a cornerstone of human technological development and progress.The structures of materials and their corresponding properties are essentially the result of a complex interplay of ...; 关键词：MATERIALS INVERSE CORNERS

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