Results 131 to 140 of about 249,780 (278)

A machine learning and NLP pipeline for analyzing ESG and sustainability disclosures in the textile and apparel industry. [PDF]

Sci Rep
Magotra A, Rana MRI, Shishir FS, Shomaji S.   +3 more
europepmc   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Evaluation of 3D-Printed Pin Materials on the Deflection of Medium-density Fiberboard and Particleboard Shelves

BioResources
The deflection behavior and safety performance were studied for medium-density fiberboard (MDF) and particleboard (PB) shelves reinforced with metal, polylactic acid (PLA), and polyethylene terephthalate glycol (PETG) pins.
Sedanur Seker
doaj  

Data-driven prediction and thermodynamic performance assessment of industrial cooling towers using advanced machine learning algorithms. [PDF]

PLoS One
Jamil SR, Shehzad A, Usman M, Abbas MM, Qaisrani OZ, Saleem MW, Musharaf HM, Petrů J, Bashir MN, Fouad Y.   +9 more
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

Improving the Optical Properties and Filler Content of White Top Testliners by Using a Size Press

ACS Omega, 2023
Mustafa Çiçekler, Tamer Sözbir, Ahmet Tutuş   +2 more
doaj   +1 more source

Investigation of thermal conductivity for nano-improved polyethylene glycol composites. [PDF]

Discov Nano
Xu T, Altalbawy FMA, Vaghela K, Praveen KNR, Kashyap A, Chauhan K, Abdullaeva B, Bindu D, Sahu PK, Kamolova N, Alfilh RHC, Mottaghi M.   +11 more
europepmc   +1 more source

Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications

Advanced Science, EarlyView.
Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin, Emiliano Cortés, Alexander O. Govorov, Tao Ding   +3 more
wiley   +1 more source

Real-time IIoT-driven machine failure forecasting for industry 4.0. [PDF]

Sci Rep
Zdravevski E, Nikolova D, Stanoev B, Pires IMS, Panev S, Lameski P.   +5 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source