Research on the molecular dynamics of coalbed methane diffusion and adsorption in reservoir pores under different factors by Xuefan Wang, Jianwei Zhong, Ziyang Zhang, Xu Zeng, Rui Shen, Ze Deng, Nan Wang

“…The migration and diffusion of coalbed methane (CBM) are impeded by adsorption in pore channels, resulting in a significant portion of CBM being trapped in the reservoir and thereby reducing the efficiency of CBM extraction. …”
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Diff-Tree: A Diffusion Model for Diversified Tree Point Cloud Generation with High Realism by Haifeng Xu, Yongjian Huai, Xiaoying Nie, Qingkuo Meng, Xun Zhao, Xuanda Pei, Hao Lu

“…The proposed method not only significantly reduces data acquisition costs but also provides a flexible, data-driven approach for virtual forest generation that adapts to diverse research requirements, offering a more efficient and practical solution for forestry research and ecological modeling.…”
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A Novel Grouting Diffusion Monitoring System Based on ZigBee Wireless Sensor Network by Xiangpeng Wang, Tingkai Wang, Jinyu Gao, Meng Yang, Fanqiang Lin, Yong Jia

“…On-site experiments demonstrate that the system can simultaneously monitor multiple profiles and perform inversions in the grouting area, which can be assembled into 3D inversion images for evaluating grout diffusion, offering valuable insights for optimizing construction operations, and enhancing grouting efficiency.…”
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Ion diffusivity and alkyl chain length-dependent triboelectric behavior of PVDF-HFP+IL composites by Sujeong Gwak, Hyeonseo Joo, Bonhyeop Koo, Cheoljae Lee, Hyosik Park, Hochun Lee, Ju-Hyuck Lee

“…This work provides a novel strategy for enhancing TENG efficiency and offers material selection guidelines for sustainable energy applications.…”
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Response mechanism of methane non-premixed diffusion flame under the influence of an applied magnetic field by Yaqing Li, Haochen Li, Jun Deng, Yutao Zhang, Chi-Min Shu, Qiang Guo, Bo Che

“…To explore the influence of an applied magnetic field on non-premixed diffusion flames, a methane non-premixed diffusion flame combustion system was constructed. …”
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Multi-target digital material design via a conditional denoising diffusion probability model by Wei Yue, Yuan Gao, Zhenliang Pan, Fanping Sui, Liwei Lin

“…This work proposes and demonstrates a customizer based on a classifier-free, conditional denoising diffusion probability model (cDDPM) to efficiently create the layouts of digital materials meeting the design goal of multiple mechanical properties all together. …”
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Predicting hydrogen diffusion in nickel–manganese random alloys using machine learning interatomic potentials by Kazuma Ito, Naoki Matsumura, Yuto Iwasaki, Yasufumi Sakai, Misaho Yamamura, Tomohiko Omura, Junichiro Yamabe, Hisao Matsunaga

“…This study develops a machine-learning interatomic potential (MLIP) for the Ni–Mn–H ternary system by efficiently sampling training data through an active learning strategy that combines atomic-force uncertainty and structural descriptors of diverse atomic environments. …”
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Quantifying Extremely Rapid Flux Enhancements of Radiation Belt Relativistic Electrons Associated With Radial Diffusion by Si Liu, Qi Yan, Chang Yang, Qinghua Zhou, Zhaoguo He, Yihua He, Zhonglei Gao, Fuliang Xiao

“…Numerical calculations show that chorus can efficiently accelerate seed electrons at L ∼ 8.3. Then radial diffusion further increased the phase space density of relativistic electrons throughout the outer radiation belts, with a remarkable agreement with the observation in magnitude and timescale. …”
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Optimal Estimation of Shear Strength Parameters Based on Copula Theory Coupling Information Diffusion Technique by Xinlong Zhou, Guang Zhang, Shaohua Hu, Junzhe Li

“…Results indicate that information diffusion distribution can efficiently capture the random volatility of real distributions of shear strength parameters and hold remarkable superiority in modeling marginal distributions. …”
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Exploring Performance Degradation of Proton Exchange Membrane Fuel Cells Based on Diffusion Transformer Model by Lingling Lv, Pucheng Pei, Peng Ren, He Wang, Geng Wang

“…Proton exchange membrane fuel cells (PEMFCs) stand at the forefront of energy conversion technology, efficiently converting the chemical energy of hydrogen and oxygen directly into electricity. …”
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GraspLDM: Generative 6-DoF Grasp Synthesis Using Latent Diffusion Models by Kuldeep R. Barad, Andrej Orsula, Antoine Richard, Jan Dentler, Miguel A. Olivares-Mendez, Carol Martinez

“…GraspLDM’s architecture enables us to train task-specific models efficiently by only re-training a small denoising network in the low-dimensional latent space, as opposed to existing models that need expensive re-training. …”
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Anodapter: A Unified Framework for Generating Aligned Anomaly Images and Masks Using Diffusion Models by Minkyoung Shin, Seonggyun Jeong, Yong Seok Heo

“…To achieve this, Anodapter efficiently separates anomaly information into appearance and spatial components. …”
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Neural SHAKE: geometric constraints in neural differential equations by Justin S. Diamond, Markus A. Lill

“…This technique generates lower-energy molecular conformations, enables more efficient subspace exploration, and formally subsumes classifier-guidance-type methods by treating geometric constraints as strict algebraic conditions within the diffusion process. …”
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The influence of the molecular weight of hyaluronic acid on the mangiferin release kinetics from the polymer matrix by P. P. Snetkov, R. O. Shaikenov, V. I. Klimshina, Yu. E. Generalova, S. N. Morozkina

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Capturing Aerosol Particles in a Device with a Regular Pulsating Nozzle by Kozii I. S., Plyatsuk L. D., Hurets L. L., Volnenko A. A.

“…Purpose of the study – to obtain analytical solutions for assessing the efficiency of capturing polydisperse aerosols in an apparatus with an on-load tap-changer due to diffusion and inertial mechanisms. …”
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DiffMamba: semantic diffusion guided feature modeling network for semantic segmentation of remote sensing images by Zhen Wang, Nan Xu, Zhuhong You, Shanwen Zhang

“…DiffMamba uses a hybrid CNNs-Transformer as the encoder structure, and is equipped with the efficient phase sensing module (EPSM), the multi-view transformer module (MVTrans), the semantic diffusion alignment module (SDAM), and the coordinate state space model (CAMamba). …”
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Solution of Coupled Systems of Reaction–Diffusion Equations Using Explicit Numerical Methods with Outstanding Stability Properties by Husniddin Khayrullaev, Andicha Zain, Endre Kovács

“…Then, we collect eight efficient explicit numerical schemes which are unconditionally stable if the reaction terms are missing, and apply them to the system of equations. …”
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Deep-learning-based detection of large vessel occlusion: A comparison of CT and diffusion-weighted imaging by JaeYoung Kang, JunYoung Park, YoungJae Kim, BumJoon Kim, SangHee Ha, KwangGi Kim

“…Three deep-learning models, convolutional neural network, EfficientNet-B2, and DenseNet121, were used to compare CT&CI and DWI for detecting anterior circulation LVO. …”
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Adoption of digital logistics platforms in the maritime logistics industry: based on diffusion of innovations and extended technology acceptance by Yanfeng Liu, Shanshan Zhao, Shuxian Zhao

“…Abstract In the context of an increasingly complex global shipping network and heightened market demand fluctuations, the maritime and logistics industry faces challenges such as greater supply chain management uncertainty and limited improvements in operational efficiency. As a core enabler of digital transformation, digital logistics platforms (DLP) enhance transportation efficiency, strengthen supply chain resilience, and bolster corporate competitiveness. …”
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Existence and Stability of the Solutions with Internal Layers in Multidimensional Problems of the Reaction-Diffusion-Advection Type with Balanced Nonlinearity by Marina A. Davydova, Nikolay N. Nefedov

“…We use a more efficient method for localizing the transition surface, which permits one to develop our approach to a more complicated case of balanced advection and reaction (the so-called critical case). …”
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