Results 161 to 170 of about 63,549 (264)

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

Advanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar, Guillaume Lambard, Jessie Manopo, Ruili Guo, Kevin Septioga, Rizfi F. Pari, Toshinori Matsushima, Zhanglin Guo   +7 more
wiley   +1 more source

The ROBOKOP v1.0 knowledge graph system for exploring relationships between biomedical entities. [PDF]

Sci Rep
Fecho K, Morris E, Beasley JM, Carter EK, Chung CH, Edwards S, Glymph D, Korn D, Olasunkanmi O, Pasfield C, Ramon M, Richardson J, Tucker N, Williams D, Zheng W, Tropsha A, Bizon C.   +16 more
europepmc   +1 more source

Glomage: A Multimodal Platform for High‐Content Morphological and RNA Profiling of Glomeruli in Zebrafish and Mouse Models

Advanced Science, EarlyView.
Understanding how glomeruli, the kidney's filtration units, function in intact tissue remains challenging. Glomage enables rapid 3D imaging and quantitative analysis of entire glomeruli from zebrafish larvae and mice. This approach allows scalable cell quantification and detection of structural changes, advancing kidney disease research and ...
Maximilian Schindler, Tim Lange, Sophia‐Marie Bach, Soeren S. Lienkamp, Nicole Endlich   +4 more
wiley   +1 more source

Disciplinary trends in spatial concept associations: a multifaceted analysis of student responses. [PDF]

Front Psychol
Özkaya A, Turan S, Uzun A, Akhan O.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

GCOA-Net: a graph-regularized cross-omics attention network for interpretable breast cancer molecular subtype classification. [PDF]

Front Med (Lausanne)
Li C, Zhang Z, Zhang C.
europepmc   +1 more source

Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays

Advanced Science, EarlyView.
An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen, Bin Li, Yingying Wang, Fulin Zhu, Wenxuan Yang, Xuanyu Fu, Tiantian Man, Qiuyue Wu, Kewei Ren, Shengyuan Deng   +9 more
wiley   +1 more source

A multi-task heterogeneous graph learning with cross-attention fusion for robust recommendation. [PDF]

Sci Rep
Nazari A, Mansoorizadeh M, Khotanlou H.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Dendrobium and Orchidaceae Plants in Dermatology: A PubMed-Based Bibliometric Analysis and Mechanistic Overview. [PDF]

Clin Cosmet Investig Dermatol
Hu J, Sun S, Gao K, Deng J, Yu P.
europepmc   +1 more source