Results 281 to 290 of about 7,706,916 (368)

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

open access: yesAdvanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar   +3 more
wiley   +1 more source

Synthetic Control of Water‐Stable Hybrid Perovskitoid Semiconductors

open access: yesAdvanced Materials, EarlyView.
Hybrid metal‐halide perovskites are promising semiconductors for optoelectronics, yet their water stability is problematic. A new synthesis method is developed using lead iodide and cysteamine under various pH conditions, forming stable perovskitoid structures.
Jiyoon Kim   +8 more
wiley   +1 more source

RESIDUAL RECURRENT NEURAL NETWORK FOR SPEECH ENHANCEMENT. [PDF]

open access: yesProc IEEE Int Conf Acoust Speech Signal Process, 2020
Abdulbaqi J, Gu Y, Chen S, Marsic I.
europepmc   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

open access: yesAdvanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach   +4 more
wiley   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

open access: yesAdvanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman   +3 more
wiley   +1 more source

SciAgents: Automating Scientific Discovery Through Bioinspired Multi‐Agent Intelligent Graph Reasoning

open access: yesAdvanced Materials, EarlyView.
The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley   +1 more source

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