Results 101 to 110 of about 73,288 (204)

Advances in Thermoelectric Thin Films Grown by Atomic Layer Deposition: A Critical Review of Performance and Challenges

Advanced Energy Materials, EarlyView.
This review highlights the use of atomic layer deposition (ALD) for fabricating thermoelectric thin films with atomic‐scale control. Four material classes—chalcogenides, doped oxides, ternary oxides, and multilayered structures—are compared in terms of growth dynamics, structure–property relationships, and thermoelectric performance. The precise tuning
Jorge Luis Vazquez‐Arce, Dong‐Ho Shin, Shuyue Yao, Shiyang He, Kornelius Nielsch, Amin Bahrami   +5 more
wiley   +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

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

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

Text-mined dataset of solid-state syntheses with impurity phases using Large Language Model. [PDF]

Sci Data
Lee S, Cruse K, Baibakova V, Ceder G, Jain A.   +4 more
europepmc   +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

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

Analysis of Bis(trifluoromethylsulfonyl)imide Interactions with Metal Cations Through a Chemical Informatics Approach. [PDF]

Molecules
Gumaste T, Cooper FL, Blakemore JD.
europepmc   +1 more source

opXRD: Open Experimental Powder X‐Ray Diffraction Database

Advanced Intelligent Discovery, EarlyView.
We introduce the Open Experimental Powder X‐ray Diffraction Database, the largest openly accessible collection of experimental powder diffractograms, comprising over 92,000 patterns collected across diverse material classes and experimental setups. Our ongoing effort aims to guide machine learning research toward fully automated analysis of pXRD data ...
Daniel Hollarek, Henrik Schopmans, Jona Östreicher, Jonas Teufel, Bin Cao, Adie Alwen, Simon Schweidler, Mriganka Singh, Tim Kodalle, Hanlin Hu, Gregoire Heymans, Maged Abdelsamie, Arthur Hardiagon, Alexander Wieczorek, Siarhei Zhuk, Ruth Schwaiger, Sebastian Siol, François‐Xavier Coudert, Moritz Wolf, Carolin M. Sutter‐Fella, Ben Breitung, Andrea M. Hodge, Tong‐yi Zhang, Pascal Friederich   +23 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