AMR
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Related Articles from SNS
MARUT: An Exascale-Ready, GPU-Accelerated High-Order CFD Framework with AMR for High-Speed Flows and Finite-Rate Chemistry
arXiv:2605.26388v3 Announce Type: replace Abstract: We present MARUT, a scalable multi-GPU computational fluid dynamics (CFD) framework designed for high-fidelity simulations of compressible flows spanning subsonic to hypersonic regimes, including chemically reacting nonequilibrium flows with finite-rate chemistry and adaptive mesh refinement (AMR). The framework addresses a central challenge in contemporary scientific computing: the development of numerically accurate and computationally...
Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects
Physics > Atmospheric and Oceanic Physics [Submitted on 24 Jan 2026 (v1), last revised 29 May 2026 (this version, v3)] Title:Atmospheric Methane Removal as a Third Climate Intervention: Termination Risks and Air Pollutant Effects View PDFAbstract:Atmospheric Methane Removal (AMR) is a third class of climate intervention, along with Carbon Dioxide Removal (CDR) and Solar Radiation Management (SRM). We show that, unlike CDR, the avoided warming by AMR is not durable due to methane's short...
SPADE: Sketch-guided Path Planning Augmented with Diffusion Experts
arXiv:2606.03512v1 Announce Type: new Abstract: Path planning is essential for Autonomous Mobile Robots (AMRs). Conventional methods for incorporating human preferences into planning typically rely on either complex reward engineering or hardware-intensive solutions. Recent state-of-the-art frameworks leverage imitation learning to train behavior-specific path planning models from expert demonstrations.
BacteReason: A Reasoning Model for Antimicrobial Resistance Prediction
The rapid global spread of antimicrobial resistance (AMR) has placed unprecedented pressure on clinical decision-making. Machine learning predictors of antibiotic susceptibility exist, but their lack of mechanistic grounding limits credibility. We present BacteReason, a reasoning large language model (LLM) that predicts bacterial susceptibility to a target antibiotic, together with a mechanistic rationale.
How an HKU-developed eczema product could help fight superbug threat
When Scottish doctor Alexander Fleming accidentally discovered the first antibiotic in 1928, he changed the course of history, extending global life expectancy by decades and saving millions of lives on the battlefield and beyond. But humanity’s dependence on his discovery has fuelled a modern crisis: antimicrobial resistance, or AMR. Decades of overuse and misuse of the drug have allowed “superbugs” – bacteria that have mutated to survive antibiotic treatments – to evolve.
Manav SutharManav Suthar joins Rohit and Shreyas, becomes only the 9th Indian to ... joins Rohit Sharma and Shreyas Iyer, becomes only the 9th Indian to ...
Manav Suthar's journey from dreaming about playing Test cricket for India to winning the Player of the Match award on debut could not have been scripted any better. The 23-year-old left-arm spinner from Rajasthan donned the baggy blue for the first time, becoming India's 319th men's Test cricketer, and made an immediate impact as India crushed Afghanistan by an innings and 300 runs in the one-off Test in Mullanpur - the biggest victory in the country's Test history. Suthar played a central...
Multihospital expansion of vancomycin-resistant Enterococcus faecium ST117-CT7799 and transmission of linear plasmids co-carrying vanA and linezolid resistance genes, Comunitat Valenciana, Spain (2022-2024)
Background: Vancomycin-resistant Enterococcus faecium (VREfm) is a WHO priority pathogen. In the Comunitat Valenciana (CV), Spain, VREfm prevalence has increased since 2022. We characterized the population structure, transmission patterns and resistance determinants of VREfm across eight hospitals (2021-2024).
Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference PDE Solvers
Announce Type: new Abstract: Classical finite-difference solvers remain reliable tools for partial differential equations, but their efficiency depends on where mesh resolution is placed. Uniform refinement can waste degrees of freedom when solution difficulty is localised near sharp gradients, fronts, oscillations, or constraint-sensitive regions. This paper studies a hybrid strategy in which a physics-informed neural network (PINN) is used not as the final solver, but as an off-grid...
Physics-Informed Residuals for Adaptive Mesh Refinement in Finite-Difference PDE Solvers
arXiv:2606.02475v2 Announce Type: replace Abstract: Classical finite-difference solvers remain reliable tools for partial differential equations, but their efficiency depends on where mesh resolution is placed. Uniform refinement can waste degrees of freedom when solution difficulty is localised near sharp gradients, fronts, oscillations, or constraint-sensitive regions. This paper studies a hybrid strategy in which a physics-informed neural network (PINN) is used not as the final solver,...
Unapologetically Shreyas! The misunderstood leader who never gave up
A little over a year ago, Shreyas Iyer was radiating confidence when he settled into the chair to address the media ahead of the IPL 2024 final in Chennai. His slow walk, cap dropping below his eyeline, and his favourite Guns N’ Roses track playing on his phone. The yellow sneakers shone as brightly as the pair of solitaires in his ears and the impromptu 'See You Again' (song by Wiz Khalifa) greeting to his opposite number Pat Cummins eased the room before everyone got down to business.