Results 141 to 150 of about 65,352 (268)

Study on the effects of coal powder water slurry on the performance of bulk emulsion explosives. [PDF]

Sci Rep
Cao Y, Wang Q, Yao Y, Zhang J, Wang F, Liu Z, Lu K, Yang Y, Li R, Xu X.   +9 more
europepmc   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

An enhanced instantaneous detonation model for underwater explosions involving condensed explosives. [PDF]

Sci Rep
Chen JP, Wang J, Li HT, Pan JQ, Mao HB, Yu J.   +5 more
europepmc   +1 more source

Selective Electrolysis of Water Under Artificial Seawater Conditions Using Transition Metal Borate Anodes

Advanced Energy Materials, EarlyView.
The borate‐based cobalt‐iron catalyst promotes selective oxidation of water rather than chlorine evolution reaction during electrolysis of seawater. When integrated into a zero‐gap electrolyzer prototype, this catalyst supports robust splitting of artificial seawater into oxygen and hydrogen on an extended timescale.
Ananta R. Fareza, Hank Garg, Luis Miguel Azofra, Darcy Simondson, Tam D. Nguyen, Mohamed R. Rizk, Khang N. Dinh, Rosalie K. Hocking, Douglas R. MacFarlane, Hoang‐Long Du, Alexandr N. Simonov   +10 more
wiley   +1 more source

Optimizing program calibration of JWL parameters of detonation products for TKX-50-based explosives from CYLEX tests. [PDF]

Sci Rep
Cui H, Wu J, Xu Y, Song P, Guo R.
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Study on the performance of emulsion explosives sensitized by an oxygen-generating M foaming agent. [PDF]

RSC Adv
Wang Q, Lu K, Yao Y.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Study on titanium fire suppression technology for aero-engine uncontained failures. [PDF]

Sci Rep
Wang T, Wang M, Wei Z, Xie Q, Wang Y, Xuan H, He Z, Zhou Y.   +7 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source