Results 71 to 80 of about 4,011 (178)

MoBTx‐Based Triboelectric Sensor Arrays With High‐Performance for Intelligent Sign Language Interpretation

Advanced Electronic Materials, EarlyView.
This work introduces novel MoBTx/PDMS‐based triboelectric pressure sensor arrays featuring outstanding stability and Innovative device structure optimization. It successfully constructs an intelligent sign language recognition system, significantly enhancing communication accessibility for hearing‐impaired individuals.
Qi Pu, Yong Liu, Yanan Xiao, Jialiang Fan, Xiaoteng Jia, Shixiang Sun, Jing Wang, Fangmeng Liu, Geyu Lu   +8 more
wiley   +1 more source

CIF extension for <i>Visual Studio Code</i>. [PDF]

J Appl Crystallogr
Helttunen K, Kainulainen H.
europepmc   +1 more source

Spin Matters: A Multidisciplinary Roadmap to Understanding Spin Effects in Oxygen Evolution Reaction During Water Electrolysis

Advanced Energy Materials, EarlyView.
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne, Priscila Vensaus, Vadim Ratovskii, Seenivasan Hariharan, Jan Behrends, Cesare Franchini, Jonas Fransson, Sarnjeet S. Dhesi, Felix Gunkel, Florian Gossing, Georgios Katsoukis, Ulrike I. Kramm, Magalí Lingenfelder, Qianqian Lan, Yury V. Kolen'ko, Yang Li, Ramsundar Rani Mohan, Jeffrey McCord, Lingmei Ni, Eva Pavarini, Rossitza Pentcheva, David H. Waldeck, Michael Verhage, Anke Yu, Zhichuan J. Xu, Piero Torelli, Silvia Mauri, Narcis Avarvari, Anja Bieberle‐Hütter, Christoph Baeumer   +29 more
wiley   +1 more source

Mitigating Structural Degradation in O3‐Layered Sodium‐Ion Cathodes: Insights from Mg Doping in NaNi0.2Fe0.4Mn0.4O2

Advanced Energy Materials, EarlyView.
Selective Mg doping in O3‐layered NaNi0.2Fe0.4Mn0.4O2 unlocks fast Na⁺ transport, stable anionic redox, and structural resilience. At 5% substitution, the cathode delivers improved capacity retention and high‐rate performance, while suppressing oxygen loss.
Akanksha Joshi, Amreen Bano, Sandipan Maiti, Arun Krishnan, Aleksandr Kondrakov, Shubham Patel, Roman R. Kapaev, Tatiana K. Zakharchenko, Nicole Leifer, Dan Thomas Major, Doron Aurbach, Malachi Noked   +11 more
wiley   +1 more source

Surveying the Efficacy of an Open Access Biomedical Informatics Boot Camp. [PDF]

Appl Clin Inform
Resendez SD, Franklin G, Tomlin C, Stephens R, Maness H, Chamala S, Koppel R, Elkin PL.   +7 more
europepmc   +1 more source

Toward Sustainable, High‐Performance, and Scalable On‐Chip Biopower: Microbial Biobatteries with 3D‐Printed Stainless Steel Anodes and Spore‐Based Biocatalysts

Advanced Energy and Sustainability Research, EarlyView.
This study presents the first integration of 3D‐printed stainless‐steel gyroid scaffolds with spore‐based biocatalysts in microscale bioenergy devices, addressing key challenges in microbial‐electronic interfacing. Motivated by the need for sustainable power in IoT systems, the work advances biobatteries toward real‐world use, offering shelf‐stability,
Anwar Elhadad, Yang Gao, Guangfa Li, Jiaqi Yang, Dehao Liu, Seokheun Choi   +5 more
wiley   +1 more source

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

Advanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira, Md Mahbubur Rahman, Karib Hassan Khan, Md Nizam Uddin, Dewan Hafiz Nabil   +4 more
wiley   +1 more source

Probing the limitations of multimodal language models for chemistry and materials research. [PDF]

Nat Comput Sci
Alampara N, Schilling-Wilhelmi M, Ríos-García M, Mandal I, Khetarpal P, Grover HS, Krishnan NMA, Jablonka KM.   +7 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip. [PDF]

Nat Commun
Chen A, Ambrogio S, Narayanan P, Okazaki A, Mackin C, Fasoli A, Rasch MJ, Friz A, Luquin J, Yasuda T, Ishii M, Kanamori T, Hosokawa K, Philicelli T, Munetoh S, Narayanan V, Tsai H, Burr GW.   +17 more
europepmc   +1 more source