Results 211 to 220 of about 6,592,885 (258)

Green Hydrogen Production Technologies and Feedstock Limitations: A Concise Review. [PDF]

ACS Omega
Saleh Y, Alam A, Ali L, Alraeesi A, Altarawneh M.   +4 more
europepmc   +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

Spin‐Polarized Interfaces Redirect CO2 Reduction From CO to Formate

Angewandte Chemie, EarlyView.
The chiral electrocatalyst exploits the CISS effect to establish a spin‐polarized interface that selectively promotes formate production during CO2 reduction while effectively suppressing the competing hydrogen evolution. ABSTRACT Achieving high product selectivity in electrocatalytic carbon dioxide reduction (CO2RR) remains a critical challenge due to
Fan He, Xingxu Yan, Xiaoqing Pan, Yong Yan, Jing Gu   +4 more
wiley   +2 more sources

Renewable energy, information and communication technology, financial development, natural resources, institutional quality, and agricultural productivity in Asian countries. [PDF]

PLoS One
Do TTP, Hoang Hong HT, Thi DTM.
europepmc   +1 more source

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

Biomass-to-Methanol, Waste-to-Methanol, or PtX?─Quantifying the Sustainability of Alternative Methanol Production Pathways Using Life Cycle Assessment, Techno-Economic Analysis, and Multi-Criteria Decision Analysis. [PDF]

Environ Sci Technol
Voss R, Helf A, Weig G, Keller F, Lee RP, Fröhling M, Gräbner M.   +6 more
europepmc   +1 more source

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

A global feasibility gap in resilient island energy transitions. [PDF]

Nat Commun
Huang C, Zhang H, Yan J.
europepmc   +1 more source

Uncertainty-aware electrification of university campuses: Matching demand with renewable generation for zero emissions.

Eng Sci Technol
Berna-Escriche C, Álvarez-Piñeiro L, Bastida-Molina P, Blanco-Muelas D.   +3 more
europepmc   +1 more source