Results 171 to 180 of about 40,280 (259)

A simulation-based hybrid causal predictive framework for stockout risk analysis in supply chain. [PDF]

PLoS One
Hafaf E, Alzubi AB, Iyiola K, Aljuhmani HY.   +3 more
europepmc   +1 more source

Fully Textured Monolithic Sb2S3/Silicon Tandem for Unbiased and Stable Solar‐Driven Water Splitting Paired with Iodide Oxidation Reaction

Advanced Science, EarlyView.
Monolithically integrated Sb2S3 on industry‐compatible textured silicon for tandem photoelectrochemical hydrogen evolution coupled with iodide oxidation. ABSTRACT Solar‐driven photoelectrochemical (PEC) production of chemical fuels such as hydrogen is a viable solution to address climate neutrality objectives.
Jihong Min, Irene Dei Tos, Sepideh Rahimisheikh, Beatriz de la Fuente, Devika Rajagopal, Jan D'Haen, David Cornil, Tom Hauffman, Tom Aernouts, David Beljonne, Joke Hadermann, Byungha Shin, Bart Vermang, Sudhanshu Shukla   +13 more
wiley   +1 more source

A lightweight neural network approach for predicting national Gross Domestic Product (LightNet-GDP) with regression benchmarks. [PDF]

Sci Rep
Raghavendran CV, Mouli KC, Latha SB, Motagi AU.   +3 more
europepmc   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

Urban tourist volume forecasting using internet search trends and deep learning methods. [PDF]

Front Artif Intell
Song C, Wang Z.
europepmc   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Economic Forecasting

, 2015
openaire   +1 more source

Closed‐Loop Radiative Cooling Mulch Upcycled From Agricultural Residues for Efficient Soil Heat–Water Stress Mitigation

Advanced Science, EarlyView.
Conventional passive radiative cooling films rely on costly feedstocks and energy‐intensive fabrication, with poor end‐of‐life compatibility in agriculture. To address this challenge, a sustainable radiative cooling mulch (SRCM) is developed from waste maize leaves via spontaneous hydrogen‐bond self‐assembly.
Hao Li, Dong Lv, Yang Fu, Cancheng Jiang, Wenqi Wang, Ze Li, Lin Liang, Jiayu Du, Jie Tan, Yihao Zhu, Wenjie Liu, Lamfeddal Kouisni, Kaixin Lin, Chi Yan Tso   +13 more
wiley   +1 more source

Large language model-driven time-series forecasting of financial network indicators. [PDF]

Front Artif Intell
Wang MH, Yeung Y.
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source