Results 161 to 170 of about 238,061 (301)

Performance emission and combustion characteristics of TIO₂ and CEO₂ nanoparticle enhanced Mahua biodiesel diesel blends using experimental and machine learning approaches. [PDF]

Sci Rep
Janaki V, Ranjit PS, Balakrishna B.
europepmc   +1 more source

Food Prices and Inflation Expectations in New Zealand

Agribusiness, EarlyView.
ABSTRACT Food prices are conspicuous, and spending on food constitutes a considerable share of household expenditure. In this study, we use partially identified Bayesian structural vector autoregression models to analyze the effects of food price shocks on core inflation and 1‐ and 5‐year inflation expectations in New Zealand.
Puneet Vatsa, Gabriel Pino, Alex Acheampong   +2 more
wiley   +1 more source

A Study on Controlling NH₃ and NO_X Emissions in an Ammonia/Diesel Dual-Fuel Engine Using Response Surface Methodology. [PDF]

ACS Omega
Peng Y, Lei J, Liu S, Cui J, Bi Y, Nie X, Shen L.   +6 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Combustion Kinetics and Reaction Mechanisms of Rice Straw During Oxy-Fuel Combustion. [PDF]

Materials (Basel)
Li D, Wang Q, Pei Y, Zhang X, Yu C, Zhao H, Cui D, Pan Y, Wang Y.   +8 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Experimental Investigation and Artificial Intelligence-Based Modeling of Novel Biodiesel Fuels Containing Hybrid Nanoparticle Additives. [PDF]

Molecules
Uyar MM, Demirpolat AB, Çıtlak A.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Landscape-level effectiveness of fuel treatments in a forest-dominated ecosystem in the Southern United States. [PDF]

PLoS One
Choi J, Lagos T, Segundo B, Villa-Zapata LM, Prokopyev OA, Ntaimo L, Stripling CW, Gan J.   +7 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source