Results 121 to 130 of about 1,208,657 (304)
Scientific ReportsDecoupled charge structures fundamentally influence blasting performance in mining operations. Unlike previous studies that focused on single-medium conditions or limited decoupling ranges, this study provides the first systematic three-dimensional ...
Jianping Peng +4 more
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
On the academic ideology of “Digging is modelling”
Meitan xuebaoTo realize safe, efficient, and intelligent excavation of coal mine roadways, the academic concept of “Digging is modelling” is proposed,which defines thecontent and architectural framework of the concept, as well as extracts the key technical issues ...
Hongwei MA +18 more
doaj +1 more source
AIChE Journal, EarlyView.Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin +2 more
wiley +1 more source
Occupancy monitoring and prediction in ambient intelligent environment [PDF]
, 2010 Occupancy monitoring and prediction as an influential factor in the extraction of occupants' behavioural patterns for the realisation of ambient intelligent environments is addressed in this research.
Akhlaghinia, MJ
core
Advanced Intelligent Discovery, EarlyView.In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Transactions of the American Institute of Mining Engineers.
, 1873 Mode of access: Internet.Vols. 1-5 in v. 5; Vols. 1-15. 1 v.; Vols. 11-25. 1 v.; Vols. 21-25. 1 v.; Vols. 1(1871)-35 (1904). 1 v.; Vols. 36 (1905)-55 (1915). 1 v.; Vols. 56 (1916)-72 (1925). 1 v.
American Institute of Mining Engineers.
core
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 +4 more
wiley +1 more source
Coal mine intelligence and mine-used 5G
Gong-kuang zidonghua, 2020 Aiming at characteristics of electrical explosion-proof and large wireless transmission attenuation in underground coal mine, 5G technology and its application scope were analyzed.Mine-used 5G should adopt intrinsically safe explosion-proof. Mine-used 5G for control should have strong anti-interference ability.
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen +5 more
wiley +1 more source