Results 151 to 160 of about 136,959 (277)

Intermolecular Nuclear Spin Hyperpolarization Transfer via Cross‐Relaxation Triggers RASER of Solute Molecules

Angewandte Chemie, EarlyView.
Radiofrequency amplification by stimulated emission of radiation (RASER) of solutes was achieved via parahydrogen‐induced polarization (PHIP) and polarization transfer from the produced hyperpolarization donors to solutes via the intermolecular nuclear Overhauser effect (NOE).
Ivan A. Trofimov, Anna P. Yi, Oleg G. Salnikov, Andrey N. Pravdivtsev, Henri de Maissin, Eduard Y. Chekmenev, Jan‐Bernd Hövener, Andreas B. Schmidt, Igor V. Koptyug   +8 more
wiley   +2 more sources

Advances in Cuprates and Iron-Based Superconductors: Physics, Properties, and Applications. [PDF]

Materials (Basel)
Galluzzi A, Polichetti M.
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Metadata-driven identification of high-temperature superconductor candidates. [PDF]

Sci Rep
Durajski AP, Niegodajew P, Wrona IA.
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
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

Revealing Majorana Zero Modes in Vortex Cores via Nonmagnetic Impurities. [PDF]

Research (Wash D C)
Neverov VD, Karabassov T, Krasavin AV, Roditchev D, Stolyarov VS, Vagov A.   +5 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Stable vortices in the anomalous metallic state observed on monoatomic-layer superconductors. [PDF]

Sci Adv
Sato Y, Haze M, Nemoto R, Qian W, Yoshizawa S, Uchihashi T, Hasegawa Y.   +6 more
europepmc   +1 more source

Microscopic study of the intermediate mixed state in intertype superconductors. [PDF]

Beilstein J Nanotechnol
Neverov VD, Kalashnikov AV, Krasavin AV, Vagov A.   +3 more
europepmc   +1 more source