Results 171 to 180 of about 20,022 (282)

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

Predicting Parts Demand in the Automotive Industry - An Application of Probabilistic Graphical Models

, 2008
In this paper, we present an application of probabilistic graphical models to the problem of predicting parts demand in the automotive industry. When the production of vehicles is induced by individual orders of customers and distributed on a large ...
Heinz Detmer, Jörg Gebhardt, Anders L. Madsen   +2 more
core  

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

tBid‐Mediated Genetic Ablation of Connective Tissue Cells Reveals Their Key Regulatory Function During Limb Regeneration in Axolotls

Advanced Science, EarlyView.
We establish a tBid‐mediated cell ablation system in axolotls, achieve rapid and efficient ablation of multiple cell types, including muscle stem cell, spinal cord cell, and connective tissue (CT) cells. We investigate the role of CT using tBid‐mediated CT ablation and identify its essential role for limb development and regeneration.
Yan Hu, Weimin Feng, Zitian He, Jiayi Zeng, Jingyi Tang, Shulin Li, Tongbo Yu, Sulei Fu, Hui Ma, Binbin Lu, Yanmei Liu, Ji‐Feng Fei   +11 more
wiley   +1 more source

Dumbbell‐Structured Plasmonic‐Enhanced Optical Nanoprobes Boosting Photo‐Magnetic‐Acoustic Multimodal Imaging‐Guided Photodynamic‐Photothermal Synergistic Treatment and Immunogenic Death in Nasopharyngeal Carcinoma

Advanced Science, EarlyView.
This study reports a novel rationally‐designed optical nanoprobe based on dumbbell‐shaped mesoporous silica‐coated gold nanorods, loaded with rare‐earth oxides, photosensitizers, and tumor‐targeted peptides, enabling plasmonic‐enhanced multimodal imaging and PTT‐PDT synergy.
Baikang Zhuang, Yubiao Yang, Wen Han, Yi Tang, Chengxin Yao, Fuli Zhao, Wenxiao Fang, Jinjie Li, Xiaolan Huo, Yiqian An, Yuanzhi Shao, Botao Gao, Jinchang Yin   +12 more
wiley   +1 more source

Learning structurally consistent undirected probabilistic graphical models. [PDF]

Proc Int Conf Mach Learn, 2009
Roy S, Lane T, Werner-Washburne M.
europepmc   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Silicon‐Embedded Multifunctional Heterogeneous Integration for Miniaturized Photoplethysmography Detection Devices

Advanced Science, EarlyView.
ABSTRACT The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging.
Lang Chen, Shizun Hu, Zhou Yang, Shitao Shen, Pan Zhang, Han Xu, Chi Zhang, Wei Wang   +7 more
wiley   +1 more source

A two stage statistical framework for cold start spare part demand forecasting. [PDF]

PLoS One
B SN, B VSR, Sastry C C, Salunkhe S, Cep R, Jitpichitchai S.   +5 more
europepmc   +1 more source

Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

Advanced Science, EarlyView.
A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee, Seungjun Lee, Tae‐Hyeon Kim, Yonghee Jeong, Gwangmin An, Minsu Ko, Junsu Yu, Heung Soo Kim, Yang Chai, Sungjun Kim   +9 more
wiley   +1 more source