Results 101 to 110 of about 6,592,885 (258)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
A stable Ti3C2Clx/Ti3ZnC2 heterostructure, fabricated by dynamic etching, exhibits outstanding electrocatalytic NRR activity (NH3 yield: 20.1 µg h−1 mg−1, FE: 38.1%) in alkaline media. The corresponding Zn‐N2 battery achieves a peak power density of 36.5 µW cm−2 and an NH3 yield of 13.1 µg h−1 mg−1, providing an advanced strategy for NH3 and ...
Yu Wang +9 more
wiley +1 more source
IP 3277-06-17160Contrato 436-2004Introducción: El creciente interés en la conversación del medio ambiente y la optimización del uso de los recursos energéticos, han contribuido a un aumento de la demanda mundial del gas natural respecto a los ...
Sanchez García, Eduardo Luis +8 more
core +1 more source
Natural Gas Matters: LNG and India’s Quest for Clean Energy
India, the world’s most populous country, is the world’s third-largest emitter of greenhouse gases (GHGs). Despite employing several energy sources, it still relies heavily on coal, its primary energy source.
Rajarshi Majumder +2 more
core +1 more source
Selective CO formation in bicarbonate electrolysis is achieved by retaining reactive CO2 and tuning pH, while the competing hydrogen evolution reaction occurs at the interface. The rate‐determining step couples the chemical equilibrium of bicarbonate/CO2 with electrochemical charge transfer, offering insight into optimizing reaction conditions for ...
Lin Li +7 more
wiley +1 more source
Investigating the key factors that contribute to the development of a green economy is essential for governments and policymakers as they decide where to allocate their investments.
Talal H. Alsabhan +3 more
doaj +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Economic performance evaluation of natural gas vehicles and their fuel infrastructures
The transition from high carbon-intensity to low carbon-intensity transport fuels entails the development of energy efficient and cost-effective decarbonisation pathways.
Hagos Dejene A, Ahlgren Erik O
doaj +1 more source
The Global Market for Liquefied Natural Gas [PDF]
Liquefied natural gas (LNG) provides an economic means to transport natural gas over long distances, bringing production from remote gas reserves to market.
David Jacobs
core
Refueling stations for natural gas vehicles [PDF]
The unavailability of natural gas vehicle (NGV) refueling stations constitutes one of the major barriers to the wide spread utilization of natural gas in the transportation market. The purpose of this paper is to review and evaluate the current technical
Blazek, C. F. +3 more
core

