Results 121 to 130 of about 656,824 (335)

A New Method of Calculating the Spin-Wave Velocity $c$ of Spin-1/2 Antiferromagnets With $O(N)$ Symmetry in a Monte Carlo Simulation

open access: yes, 2010
Motivated by the so-called cubical regime in magnon chiral perturbation theory, we propose a new method to calculate the low-energy constant, namely the spin-wave velocity $c$ of spin-1/2 antiferromagnets with $O(N)$ symmetry in a Monte Carlo simulation.
Jiang, F. -J.
core   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

open access: yesAdvanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari   +4 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao   +11 more
wiley   +1 more source

Lifshitz Transition in Correlated Topological Semimetals

open access: yesAdvanced Science, EarlyView.
Theoretical calculations reveal that in YPtBi and GdPtBi, strong electronic correlations shift topological Dirac nodes away from the Fermi level by forming large hole pockets. This effect is sensitive to temperature and arises from interactions among 4d or 4f electrons, offering insights into Fermi surface engineering in quantum materials.
Byungkyun Kang   +4 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Unveiling a Bulk WTaV Multicomponent Alloy With Superior Thermal Properties and Manufacturability

open access: yesAdvanced Science, EarlyView.
ABSTRACT Many tungsten (W)‐based medium and high entropy alloys (HEA) demonstrate superior microstructural stability and enhanced mechanical properties as compared to pure W, effectively rendering them as viable candidate materials for extreme environments such as nuclear fusion, aerospace applications, and so on.
Ishtiaque K. Robin   +11 more
wiley   +1 more source

Photonuclear Population of 229m,gTh in Th‐Doped Crystals Toward Nuclear Clock Development

open access: yesAdvanced Science, EarlyView.
This study demonstrates a novel photonuclear approach for producing the nuclear clock isomer 229mTh in thorium‐doped crystals, overcoming current supply limitations. Through cross‐section calculations and Monte Carlo simulations, we identify optimal crystal materials and irradiation conditions, achieving high signal‐to‐noise ratios.
Hao‐Yang Lan   +9 more
wiley   +1 more source

Modeling the flow of activated H2 + CH4 mixture by deposition of diamond nanostructures

open access: yesMATEC Web of Conferences, 2017
Algorithm of the direct simulation Monte Carlo method for the flow of hydrogen and methane mixture in a cylindrical channel is developed. Heterogeneous reactions on tungsten channel surfaces are included into the model.
Plotnikov Mikhail   +2 more
doaj   +1 more source

Light‐Harvesting Photothermal Hotspots Enabled by NIR Scattering‐Absorption Coupling

open access: yesAdvanced Science, EarlyView.
By coupling the broadband scattering of nanodiamonds with the plasmonic absorption of gold nanostars, this work proposes a novel strategy for the active modulation of photon transport. This strategy creates localized photothermal hotspots in turbid media and achieves a supra‐additive heating efficiency, thereby providing a universal platform for low ...
Zebin Wu   +17 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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