Results 221 to 230 of about 2,775,388 (305)

Identifying and ranking drivers of green manufacturing for sustainable industrial practices. [PDF]

Sci Rep
Prasad S, Kumar R, Namdev S.
europepmc   +1 more source

Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring

Advanced Functional Materials, EarlyView.
This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha, Welman C. Elias, Hunter P. Jacobs, Kimberly N. Heck, Saghar Rezaie, Sadegh Yazdi, Kiheon Hong, Justin J. Dodson, Laiyuan Chen, Sean G. Mueller, Steven R. Alexander, Michael S. Wong   +11 more
wiley   +1 more source

Multi-Modal Physics-Informed Neural Network for Single-Track Geometry Prediction in Powder-Bed Arc Additive Manufacturing of 316L Stainless Steel. [PDF]

Materials (Basel)
Balcı A.
europepmc   +1 more source

Strong Lead‐Free Bioinspired Piezoceramics for Durable Energy Transducers

Advanced Functional Materials, EarlyView.
We fabricated brick‐and‐mortar lead‐free piezoceramics with Bi0.5Na0.5TiO3 monocrystal platelets as bricks and amorphous silica as mortar. The alignment of the bricks and the presence of the amorphous silica led to anisotropic residual stresses. These residual stresses increase the samples toughness, strength and durability while the brick alignment ...
Ruxue Yang, Temesgen Tadeyos Zate, Peiren Wang, Soumyajit Mojumder, Elo Overgaard Mogensen, Oriol Gavalda‐Diaz, Zihe Li, Shitong Zhou, Ajeet Kumar, James Roscow, Hamideh Khanbareh, Astri Bjørnetun Haugen, Florian Bouville   +12 more
wiley   +1 more source

RBF-assisted surrogate modeling and machine learning for mechanical property prediction in friction stir additive manufacturing: Application to dissimilar AA6061/AA7075 aluminum alloys. [PDF]

Sci Rep
Venkatachalam K, Selvaraj SK, Mannayee G, Pattabiraman K, G S.   +4 more
europepmc   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

A Mode-Aware Hybrid Machine-Learning Framework for Full-Field Warpage Prediction of Fan-Out Panel-Level Packaging After Debonding. [PDF]

Materials (Basel)
Huang MC, Su YT, Chiang KN.
europepmc   +1 more source

One‐Step Curcumin‐Mediated Multiphoton Lithography for Bioactive 3D Scaffolds

Advanced Functional Materials, EarlyView.
Curcumin‐mediated multiphoton lithography enables one‐step fabrication of highly architected complex gelatin methacryloyl scaffolds by exploiting curcumin as a multifunctional bioactive photoinitiator. The resulting 3D structures support mesenchymal stem cell adhesion, proliferation, and migration, while exhibiting dual antibacterial activity through ...
Myrto Charitaki, Michalis Stavrou, Chrysanthi Pinelopi Apostolidou, Elmina Kabouraki, David Gray, Anna Mitraki, Anthi Ranella, Maria Farsari   +7 more
wiley   +1 more source

Machine learning prediction model for the sewing thread consumption. [PDF]

PLoS One
Ahmad F, Qureshi SM, Younas A, Ramzan MB, Fareed G.   +4 more
europepmc   +1 more source