Results 141 to 150 of about 6,963,782 (253)

Multimodal graph learning for chagas disease classification. [PDF]

Med Biol Eng Comput
Carcedo-Rodríguez G, Molino-Minero-Re E, Perez-Gonzalez J, Hevia-Montiel N.   +3 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Specificity-driven graph learning for the identification of rare cell states. [PDF]

Adv Biotechnol (Singap)
Hou L, Hu Z.
europepmc   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

Advanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon, Dong Hwi Kim, Taeyang Jeon, Joo Yeong Na, Heegyu Kim, Hyunsouk Cho, Dae Soo Jung, Ju Li, Jin‐Sung Park, Sung Beom Cho   +9 more
wiley   +1 more source

Cross-residual knowledge graph learning for robust multi-trait gene-trait prioritization in rice. [PDF]

Front Plant Sci
Wang J, Cui X, Fu X, Mao J, Zhang Y, Shan F, Zhou Z, Xing S, Hu X.   +8 more
europepmc   +1 more source

Polyphenol‐Inspired Materials for Agricultural Applications

Advanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu, Omid Mazaheri, Zhixing Lin, Tianzheng Wang, Jingqu Chen, Yuang Gu, Xia Liang, Deli Chen, Frank Caruso   +8 more
wiley   +1 more source

Constructing VEGGIE: Machine Learning for

, 2008
Context-sensitive graph grammar construction tools have been used to develop and study interesting languages. However, the high dimensionality of graph grammars result in costly effort for their construction and maintenance.
Context-sensitive Graph Grammars
core  

Modulation-Prior Enhanced Cross-Modal Graph Learning for Low-SNR Automatic Modulation Recognition. [PDF]

Sensors (Basel)
Su H, Luomei Y, Yang Z, Mou F, Lu Z, Chen Y.   +5 more
europepmc   +1 more source

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

Advanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin, Tianyi Wang, Xingyu Wang, Kaifu Xu, Yuzhou Wang, Chengyin Wang, Bing Sun, Guoxiu Wang   +7 more
wiley   +1 more source

A measurement-driven graph learning framework for Wideband oscillation localization in power systems. [PDF]

PLoS One
Dong Z, Xiong H, Yang J, Su R, Shen Q, Zhang S, Chang Y, Chen J, Qian X.   +8 more
europepmc   +1 more source