Results 31 to 40 of about 13,244 (249)

Design Principles for Fluid Molecular Ferroelectrics

Advanced Materials, EarlyView.
A major challenge for soft condensed matter is predicting whether a fluid molecular material will form ferroelectric phase with nematic or smectic order. Through systematic synthesis, and by analogy to solid molecular ferroelectrics, it is shown that subtle hydrogen–fluorine (H/F) substitution(s) allows for tuneable syn‐parallel pairing motifs ...
Calum J. Gibb, Jordan Hobbs, William C. Ogle, Richard. J. Mandle   +3 more
wiley   +1 more source

A‐Site High‐Entropy Perovskite Enabling Sulfur‐Tolerant and Coking‐Resistant Anodes for Hydrocarbon‐Fueled Solid Oxide Fuel Cells

Advanced Materials, EarlyView.
A‐site high‐entropy engineering creates a robust Pr0.2Ba0.2La0.2Sr0.2Ca0.2FeO3‐δ (PBLSCF) perovskite‐based solid oxide fuel cell (SOFC) anode with in situ Fe nanoparticle exsolution to boost fuel oxidation and durability, achieving strong sulfur tolerance and coking resistance.
Lei Wu, Yue Bao, Zhi‐Hao Wang, Haixia Li, John Meynard M. Tengco, Ramin Babazadeh Dizaj, Patrick Holcombe, Roozbeh Seifollahy Astaraee, Nathan Thornburg, Chuancheng Duan, Fanglin Chen   +10 more
wiley   +1 more source

RAMSES-yOMP: Performance Optimizations for the Astrophysical Hydrodynamic Simulation Code RAMSES

The Astrophysical Journal
Developing an efficient code for large, multiscale astrophysical simulations is crucial in preparing for the upcoming era of exascale computing. RAMSES is an astrophysical simulation code that employs parallel processing based on the message-passing ...
San Han, Yohan Dubois, Jaehyun Lee, Juhan Kim, Corentin Cadiou, Sukyoung K. Yi   +5 more
doaj   +1 more source

Accelerated and Energy-Efficient Galaxy Detection: Integrating Deep Learning with Tensor Methods for Astronomical Imaging

Universe
Addressing the astronomical challenges posed by the interplay of data volume, AI sophistication, and energy consumption is crucial for the future of astronomy. As astronomical surveys continue to produce vast amounts of data, the computational and energy
Humberto Farias, Guillermo Damke, Mauricio Solar, Marcelo Jaque Arancibia   +3 more
doaj   +1 more source

Light‐Imprinted Chirality in Nanomaterials: From Principles to Applications

Advanced Science, EarlyView.
Light‐induced chirality represents a transformative paradigm for fabricating chiral nanostructures. This review provides a comprehensive framework encompassing light‐based strategies for imprinting and tuning chirality in nanomaterials, which guides researchers in harnessing light to create next‐generation functional materials.
Xinru Jin, Emiliano Cortés, Alexander O. Govorov, Tao Ding   +3 more
wiley   +1 more source

Machine Learning Accelerated Non‐Adiabatic Molecular Dynamics Elucidates Local Polarization Effects on Non‐radiative Recombination in Halide Perovskites

Advanced Science, EarlyView.
This work proposes and constructs the Hefei‐NAMD‐S framework based on machine learning stacked models to investigate the relationship between local polarization and non‐radiative recombination. The results indicate that, compared with A‐site local polarization, B‐site local polarization shows a more evident association with the non‐radiative ...
Bing Yang, Xiaoli Wei, Bo Cai, Yan Yang, Xinghai Zhu, Yi Liu, Junmin Xia, Lihui Liu, Kun Cao, Wei Shen, Pengfei Xia, Shufen Chen, Siyu Chen, Jin Zhao   +13 more
wiley   +1 more source

Multisegment Overlap–Save Method for Coherent Dedispersion

The Astronomical Journal
Dispersion occurs due to the interstellar medium, which functions as a prism and causes different time delays in radio waves of varying frequencies. The coherent dedispersion technique is often used in pulsar and fast radio burst observations to mitigate
Chenye Zhou, Qiao Meng, Wei Liu, Shaocong Guo, Hailong Zhang, Gaojing Li   +5 more
doaj   +1 more source

Fitting a function to time-dependent ensemble averaged data

Scientific Reports, 2018
Time-dependent ensemble averages, i.e., trajectory-based averages of some observable, are of importance in many fields of science. A crucial objective when interpreting such data is to fit these averages (for instance, squared displacements) with a ...
Karl Fogelmark, Michael A. Lomholt, Anders Irbäck, Tobias Ambjörnsson   +3 more
doaj   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Reconstructing al-Farghānī’s Southern Astrolabe: A Philological and Astronomical Study for Equatorial Observations in Indonesia

Al-Hilal
This study reconstructs al-Farghānī’s concept of the southern astrolabe through an interdisciplinary approach combining Arabic philology and computational astronomy. Focusing on the sixth chapter (al-Naw’ al-Sādis) of Kitāb al-Asturlāb, the research aims
Fajrullah Fajrullah, Nur Faizah
doaj   +1 more source