Results 171 to 180 of about 1,304,577 (293)

Machine learning driven many‐objective moving horizon scheduling optimization

AIChE Journal, EarlyView.
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Enhanced Hydrogen Evolution Activity of MoS2 Through Solid Solution Modification of Its Edge Sites With Ruthenium

Angewandte Chemie, EarlyView.
Modulating the edge sites of molybdenum disulfide significantly boosts hydrogen production. By depositing Ru to form an edge‐coordinated solid solution, we accelerate water dissociation and shift the hydrogen evolution reaction pathway to Volmer–Tafel.
Jinsong Zhou, Tsz Kei Leung, Denis A. Kuznetsov, Christoph R. Müller, Lei Ran, Yingguang Zhang, Xin Li, Gang Li, Yifan Xu, Keda Chen, Qinglan Tang, Yaoyang Yu, Michael K.H. Leung   +12 more
wiley   +2 more sources

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Elucidating Photo‐Kinetic Control in Photothermal Reverse Water‐Gas Shift Reaction

Angewandte Chemie, EarlyView.
Light directly regulates the rate‐determining step (RDS) in photothermal catalysis. In a Mars–van Krevelen (MvK)‐type reverse water‐gas shift (RWGS) reaction over In‐doped MoO2, light shifts the RDS from the H2‐related reduction half‐reaction to the CO2‐related oxidation half‐reaction, enhancing catalytic activity and lowering the apparent activation ...
Junchuan Sun, Rui Song, Chang Xu, Xue Ding, Wanguo Gao, Athanasios A. Tountas, Zhe Lu, Jiakun Wang, Zeshu Zhang, Xiaolu Zhuo, Yingfang Yao, Zhigang Zou, Geoffrey A. Ozin, Lu Wang   +13 more
wiley   +2 more sources

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Molecular Engineering of a Mixed‐Spacer System Toward High‐Performance Polycarbazole Anion‐Exchange Membranes

Angewandte Chemie, EarlyView.
Mixed‐spacer polycarbazole membranes balance conductivity, swelling, and stability by tuning hydration and ionic connectivity. The optimized membrane reaches 184 mS cm−1 hydroxide conductivity and 2.51 W cm−2 peak power density, offering a promising strategy for high‐performance ether‐free AEMs.
Hao Liu, Yingdan Cui, Chanikya D. Jayawardana, Mohammed Al Murisi, Hai Zhao, Md Waliullah Hossain, Zhitao Hu, Cem Arkun, Iftikhar Ahmad, Qi Wang, Sophya Garashchuk, William Mustain, Chuanbing Tang   +12 more
wiley   +2 more sources

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Anion Engineering of Surface Frustrated Lewis Pairs for Light‐Assisted CO2 Hydrogenation to Methanol

Angewandte Chemie, EarlyView.
Anion engineering through nitrogen incorporation regulates the local coordination environment and promotes the formation of defect‐associated Ga–O/N frustrated Lewis pairs in non‐stoichiometric zinc gallium oxide. The engineered surface sites facilitate heterolytic H2 splitting, while the modified electronic structure enhances light utilization ...
Rui Song, Jiuli Guo, Chaoqian Ai, Xueqiu Wu, Andrew Wang, Yang‐Fan Xu, Chaoran Li, Zhijie Chen, Paul N. Duchesne, Emerson MacNeil, Zeshu Zhang, Jianheng Xu, Jingyan Zhang, Yahan Zhang, Xiaoliang Yan, Xingda An, Wenqiang Qu, Yiran Li, Guangming Cai, Zhihao Zhu, Jessica Ye, Athanasios A. Tountas, Wenzhe Zhou, Maochang Liu, Chandra Veer Singh, Le He, Dengwei Jing, Geoffrey A. Ozin   +27 more
wiley   +2 more sources

Using pre‐ and post‐entry data to identify the effect of ethanol plant entry on the spatial pattern of corn prices: A study in Indiana

American Journal of Agricultural Economics, EarlyView.
Abstract We estimate the long‐run effect of ethanol plant entry on local corn prices using a long‐horizon difference‐in‐differences framework that combines matching with fixed effects while explicitly accounting for treatment intensity and spatial heterogeneity.
Jinho Jung, Juan P. Sesmero, Ralph Siebert   +2 more
wiley   +1 more source