Results 121 to 130 of about 2,425,338 (382)

Solar wind protons at 1 AU: trends and bounds, constraints and correlations

, 2014
The proton temperature anisotropy in the solar wind exhibits apparent bounds which are compatible with the theoretical constraints imposed by temperature-anisotropy driven kinetic instabilities.
Hellinger, Petr, Travnicek, Pavel M.
core   +1 more source

Unassisted Photoelectrochemical Hydrogen Production Coupled with Selective Glucose Oxidation Using Metal Halide Perovskite Photoanodes

Advanced Functional Materials, EarlyView.
A metal halide perovskite‐based photoanode integrated with a CoNiFe layered double hydroxide (LDH) cocatalyst is reported for selective glucose oxidation reaction (GOR), achieving simultaneous and unassisted photoelectrochemical hydrogen production. This system delivers high photocurrent density, excellent Faradaic efficiency of GOR, and strong techno ...
Shujie Zhou, Xu Liu, Michael Gunawan, Yihao Shan, Ming Zhang, Shaine Lucas, Adhi Satriyatama, Denny Gunawan, Ao Wang, Xiaojie Yuan, Kaiwen Sun, Rose Amal, Xiaojing Hao   +12 more
wiley   +1 more source

Solar Wind Electrons Alphas and Protons (SWEAP) Investigation: Design of the Solar Wind and Coronal Plasma Instrument Suite for Solar Probe Plus

, 2015
The Solar Wind Electrons Alphas and Protons (SWEAP) Investigation on Solar Probe Plus is a four sensor instrument suite that provides complete measurements of the electrons and ionized helium and hydrogen that constitute the bulk of solar wind and ...
J. Kasper, R. Abiad, Gerry W. Austin, M. Balat-Pichelin, S. Bale, J. Belcher, P. Berg, H. Bergner, M. Berthomier, J. Bookbinder, E. Brodu, D. Caldwell, A. Case, B. Chandran, P. Cheimets, J. Cirtain, S. Cranmer, David W. Curtis, P. Daigneau, G. Dalton, B. Dasgupta, David DeTomaso, M. Diaz-Aguado, B. Djordjević, Bill Donaskowski, M. Effinger, V. Florinski, Nichola Fox, M. Freeman, D. Gallagher, S. P. Gary, T. Gauron, R. Gates, Melvin Goldstein, L. Golub, D. Gordon, Reid Gurnee, G. Guth, J. Halekas, K. Hatch, J. Heerikuisen, G. Ho, Q. Hu, G. Johnson, Steven P. Jordan, K. Korreck, D. Larson, A. J. Lazarus, Gang Li, R. Livi, M. Ludlam, M. Maksimović, J. Mcfadden, W. Marchant, Bennett A. Maruca, D. McComas, Luciana Messina, Tony Mercer, Sang C. Park, Andrew M. Peddie, N. Pogorelov, M. Reinhart, John D. Richardson, M. Robinson, I. Rosen, R. Skoug, A. Slagle, J. Steinberg, M. Stevens, A. Szabo, Ellen R. Taylor, C. Tiu, P. Turin, M. Velli, G. Webb, P. Whittlesey, Ken Wright, S. T. Wu, G. Zank   +78 more
semanticscholar   +1 more source

Controlled Aggregation of Pyrene‐Based Supramolecular Nanostructures for Light‐Driven Switchable H2 or H2O2 Production

Advanced Functional Materials, EarlyView.
This work reports the self‐assembly of a pyrene derivative into two distinct nanostructures and their application in visible‐light photocatalysis. The two nanostructures exhibit completely different yet complementary photocatalytic activities, promoting either H2 or H2O2 evolution.
Marianna Barbieri, Matilde Doardo, Ilaria Fortunati, Anna Fortunato, Elisabetta Collini, Francesca Arcudi, Luka Ðorđević   +6 more
wiley   +1 more source

Correlation of solar wind velocity with different parameters during geomagnetic disturbances

Bibechana, 2018
We have studied the solar wind velocity and it’s relation with solar wind pressure, southward component of IMF-Bz, solar wind temperature (Tsw), solar wind density (Nsw) and geomagnetic indices during different geomagnetic disturbances. During disturbed
Sujan Dhakal, Binod Adhikari, Kiran Pudasainee, Naryan Prasad Chapagain, Drabindra Pandit, Subodh Dahal, Bhawani Sapkota, Daya Nidhi Chhatkuli   +7 more
doaj   +3 more sources

Kinetic Insights into Precursor‐Assisted Soft Sphere Close Packing Revealed by In Situ GISAXS with Implications for Gas Sensing

Advanced Functional Materials, EarlyView.
The versatile precursor‐assisted soft sphere close packing during slot‐die coating is investigated with in situ X‐ray scattering. The soft crystallization pathways towards a close packing involve multistep structural transitions such as surface nucleation, in‐plane, and out‐of‐plane crystallization.
Guangjiu Pan, Wenhe Xie, Suzhe Liang, Ting Tian, Shanshan Yin, Lixing Li, Altantulga Buyan‐Arivjikh, Jinsheng Zhang, Thomas Baier, Zhuijun Xu, Matthias Schwartzkopf, Sarathlal Koyiloth Vayalil, Stephan V. Roth, Yonghui Deng, Peter Müller‐Buschbaum   +14 more
wiley   +1 more source

Modeling of Marine Assembly Logistics for an Offshore Floating Photovoltaic Plant Subject to Weather Dependencies

Journal of Marine Science and Engineering
Floating solar technology has gained significant attention as part of the global expansion of renewable energy due to its potential for installation in underutilized water bodies.
Lu-Jan Huang, Simone Mancini, Minne de Jong   +2 more
doaj   +1 more source

Scale‐Dependent Kurtosis of Magnetic Field Fluctuations in the Solar Wind: A Multi‐Scale Study With Cluster 2003–2015

, 2022
Owen Roberts, Olga Alexandrova, L. Sorriso‐Valvo, Z. Vörös, R. Nakamura, D. Fischer, Ali Varsani, C. P. Escoubet, M. Volwerk, P. Canu, Sonny Lion, K. H. Yearby   +11 more
openalex   +2 more sources

Composition and Resulting Band Alignment at the TiO2/InP Heterointerface: A Fundamental Study Combining Photoemission Spectroscopy and Theory

Advanced Functional Materials, EarlyView.
The chemical composition and band alignment are systematically investigated at the TiO2/InP heterointerface. Thin TiO2 films are deposited by ALD on atomically ordered, P‐terminated p‐InP(100). By combining UPS, XPS, and ab initio molecular dynamics, the atomistic structure and electronic alignment are revealed.
Mohammad Amin Zare Pour, Muhammad Nawaz Qaisrani, Christian Höhn, Johannes Laurenz Wolf, Negin Mogharehabed, Jennifer Velazquez Rojas, Wolfram Jaegermann, Erich Runge, Roel van de Krol, Thomas Hannappel, Christian Dreßler, Agnieszka Paszuk   +11 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source