Results 171 to 180 of about 25,532,893 (259)

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Integrated Multi-Criteria Decision-Making for the Selection of Natural and Synthetic Fiber-Reinforced Composites for Unmanned Aerial Vehicle Micro-Turbojet Engine Inlets. [PDF]

Polymers (Basel)
Gherissi A.
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Investigation of Delamination and Cutting Force in the Drilling of AA7050-CFRP Hybrid Composite Stacks Used in Real Aerospace Applications. [PDF]

Polymers (Basel)
Taşcı F, Bayar A, Yüksel A, Yavaş Ç, Bolat Ç, Ercetin A, Akkoyun F, Yalçın B.   +7 more
europepmc   +1 more source

An Activity‐Reinforced P‐Modified Single‐Atom Cu Nanozyme Potentiates IDO Blockade‐Induced Tumor Radiotherapy

Advanced Science, EarlyView.
A phosphorus‐modified single‐atom copper nanozyme delivering the IDO1 inhibitor 1‐methyl‐tryptophan enhances breast cancer radioimmunotherapy by simultaneously relieving hypoxia and inducing immunogenic cell death through dual enzyme activities while blocking tryptophan metabolism to suppress regulatory T cell function.
Wei Zhao, Songliu Hu, Zhanggui Wang, Liqun Wang, Liming Zhang, Qi Li, Hua Tang, Yang Zhong, Zhongxian Zhang, Kelong Fan, Shipeng Ning, Xiyun Yan   +11 more
wiley   +1 more source

Type‐II Dirac Fermions in Monolayer In2O: Interplay of Magnetotransport, Spin Hall Effect, and Superconductivity

Advanced Science, EarlyView.
First‐principles calculations reveal that monolayer In2O${\rm In}_2{\rm O}$ hosts type‐II Dirac fermions near the Fermi level, which split into Weyl points under spin‐orbit coupling. The material exhibits negative and giant magnetoresistance, a pronounced spin Hall effect, and phonon‐mediated superconductivity at 1.5 K, establishing it as a unique ...
Qing‐Bo Liu, De‐Ming Feng, Wen‐Neng Zhao, Yu‐Yang Zhao, Lun Xiong, Xing‐Yi Tan, Hua‐Hua Fu   +6 more
wiley   +1 more source

Investigation on the Degradation Mechanisms and Mechanical Property Evolution of 3D-SiO₂-Fiber-Reinforced Polyimide Composites After Thermal Aging. [PDF]

Polymers (Basel)
Yang M, Wu Y, He J, Gu Q, Liu H.
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Space sustainability beyond 'zero debris': from orbital safety to circular materials. [PDF]

Commun Eng
Solt-Rindler A, Billich E, Sperl J, Engel W, Seifert B, Hansmann C.   +5 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source