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$\text{CO}_{2}$ flooding is central to carbon utilization technologies, yet conventional waterflooding models fail to capture the complex interactions between CO$_2$ and formation fluids. In this study, one- and two-dimensional nuclear…

流体动力学 · 物理学 2025-07-01 Xiaoyi Zhang , Rui Xu , Qing Zhao , Qian Cheng , Rui Shen , Yanbiao Gan

In this article, we implement a recently developed non-equilibrium chemical kinetics model \cite{singhmodeldevelopment2019} based on \textit{ab initio} simulation data and perform verification studies. Direct molecular simulation data is…

流体动力学 · 物理学 2020-07-15 Narendra Singh , Thomas Schwartzentruber

The sensitivity of climate models to increasing CO2 concentration and the climate response at decadal time scales are still major factors of uncertainty for the assessment of the long and short term effects of anthropogenic climate change.…

大气与海洋物理 · 物理学 2016-03-23 Francesco Ragone , Valerio Lucarini , Frank Lunkeit

There are many wildfire behaviors of increasing relevance that are outside the forecast capabilities of even the most sophisticated operational fire spread and fire behavior model. The limitations of the operational models are due primarily…

大气与海洋物理 · 物理学 2013-03-26 Adam K. Kochanski , Mary Ann Jenkins , Steven K. Krueger , Jan Mandel , Jonathan D. Beezley

The NH2 + O reaction represents a critical oxidation pathway in ammonia and hydrazine combustion, yet significant discrepancies persist in reported kinetics. Here, we generate a full-dimensional ground-state potential energy surface (PES)…

化学物理 · 物理学 2026-03-24 Ying Xing , Weijie Hua , Junxiang Zuo

Accurately simulating coupled physical processes under uncertainty is essential for reliable modeling and design in performance-critical applications such as combustion systems. Ablative heat shield design, as a specific example of this…

计算物理 · 物理学 2025-10-07 Diba Behnoudfar , Kyle E. Niemeyer

Developing accurate models for chemical reactors is often challenging due to the complexity of reaction kinetics and process dynamics. Traditional approaches require retraining models for each new system, limiting generalizability and…

计算工程、金融与科学 · 计算机科学 2025-05-29 Zihao Wang , Zhe Wu

For the investigation of chemical reaction networks, the efficient and accurate determination of all relevant intermediates and elementary reactions is mandatory. The complexity of such a network may grow rapidly, in particular if reactive…

化学物理 · 物理学 2016-01-08 Maike Bergeler , Gregor N. Simm , Jonny Proppe , Markus Reiher

Because of new telescopes that will dramatically improve our knowledge of the interstellar medium, chemical models will have to be used to simulate the chemistry of many regions with diverse properties. To make these models more robust, it…

星系天体物理 · 物理学 2011-03-16 V. Wakelam , E. Herbst , J. Le Bourlot , F. Hersant , F. Selsis , S. Guilloteau

The modelling of quantum heat transfer processes at the nanoscale is crucial for the development of energy harvesting and molecular electronics devices. Herein, we adopt a mixed quantum-classical description of a device, in which the open…

化学物理 · 物理学 2018-12-12 Junjie Liu , Chang-Yu Hsieh , Dvira Segal , Gabriel Hanna

Given the need to develop zero-carbon combustors for power and aircraft engine applications, $S_d$ of a turbulent premixed flame, especially for H$_2$-air, is of immediate interest. The present study investigates 3D DNS cases of premixed…

流体动力学 · 物理学 2023-03-03 Yuvraj , Yazdan Naderzadeh Ardebili , Wonsik Song , Hong G. Im , Chung K. Law , Swetaprovo Chaudhuri

Cooperative perception enabled by Vehicle-to-Everything (V2X) communication holds significant promise for enhancing the perception capabilities of autonomous vehicles, allowing them to overcome occlusions and extend their field of view.…

计算机视觉与模式识别 · 计算机科学 2025-03-14 Hao Xiang , Zhaoliang Zheng , Xin Xia , Seth Z. Zhao , Letian Gao , Zewei Zhou , Tianhui Cai , Yun Zhang , Jiaqi Ma

First-principles calculation of the standard formation enthalpy, $\Delta H_f^\circ$ (298K), in such large scale as required by chemical space explorations, is amenable only with density functional approximations (DFAs) and some composite…

化学物理 · 物理学 2021-02-24 Sambit Kumar Das , Sabyasachi Chakraborty , Raghunathan Ramakrishnan

Machine learning (ML) can facilitate efficient thermoelectric (TE) material discovery essential to address the environmental crisis. However, ML models often suffer from poor experimental generalizability despite high metrics. This study…

材料科学 · 物理学 2026-02-03 Shoeb Athar , Adrien Mecibah , Philippe Jund

Considering a general microscopic model for a quantum measuring apparatus comprising a quantum probe coupled to a thermal bath, we analyze the energetic resources necessary for the realization of a quantum measurement, which includes the…

量子物理 · 物理学 2025-01-29 Camille L Latune , Cyril Elouard

Computer based models describing pedestrian behavior in an emergency evacuation play a vital role in the development of active strategies that minimize the evacuation time when a closed area must be evacuated. The reference model has a…

其他计算机科学 · 计算机科学 2014-01-22 Pablo Cristian Tissera , Alicia Castro , A. Marcela Printista , Emilio Luque

The construction of a reaction network containing all relevant intermediates and elementary reactions is necessary for the accurate description of chemical processes. In the case of a complex chemical reaction (involving, for instance, many…

化学物理 · 物理学 2017-12-19 Gregor N. Simm , Markus Reiher

In lean premixed combustors, flame stabilization is an important operational concern that can affect efficiency, robustness and pollutant formation. The focus of this paper is on flame lift-off and re-attachment to the nozzle of a swirl…

流体动力学 · 物理学 2020-08-25 Shivam Barwey , Malik Hassanaly , Qiang An , Venkat Raman , Adam Steinberg

Water-solid interfaces pervade the natural environment and modern technology. On some surfaces, water-water interactions induce the formation of partially dissociated interfacial layers; understanding why is important to model processes in…

Solving real-world complex tasks using reinforcement learning (RL) without high-fidelity simulation environments or large amounts of offline data can be quite challenging. Online RL agents trained in imperfect simulation environments can…