Results 171 to 180 of about 1,642 (250)

Multiobjective optimization of natural convection and entropy generation in a porous wavy cavity with a heated star-shaped obstacle using a hybrid nanofluid. [PDF]

Discov Nano
Saleem KB, Ismael MA, Venkatadri K, Mir A, Hassen W, Kolsi L, Ghachem K.   +6 more
europepmc   +1 more source

Uncertainty‐Aware Machine Learning for Onset of Deep Convection: Under what Conditions Are Trigger Predictions More Reliable?

Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract Machine Learning (ML) models have emerged as a powerful tool for predicting deep convection triggering, yet the atmospheric conditions that systematically challenge these models in detecting deep convection remain poorly understood. To diagnose such ambiguous regimes, we trained a Controlled Abstention Neural Network (CAN) that separates high‐
Ashish Bhattarai, Youtong Zheng
wiley   +1 more source

Does petroleum resource extraction and oceanic heat transfer increase geothermal heat flux? A global multi-sensor study of oil basins. [PDF]

Innovation (Camb)
Awadh SM, Yaseen ZM.
europepmc   +1 more source

The Influence of Aged Smoke on Urban Ozone: Aircraft Measurements in Chicago During the 2023 Canadian Wildfires

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 15, 16 August 2026.
Abstract As large wildfires become more frequent and severe in North America due to heightened fuel aridity and fire weather conditions driven by anthropogenic climate change, wildfire smoke has an increasingly important influence on air quality. Transported smoke can impact urban boundary layer ozone (O3) directly, via the entrainment of O3 formed in ...
W. S. Chace, C. Womack, A. Ahern, K. Ball, K. H. Bates, B. Bohn, C. A. Brock, M. Coggon, J. D. Crounse, N. Desai, H. Fuchs, J. Gilman, J. Gristey, H. N. Huynh, R. Jackson, C. M. Jernigan, J. Kaiser, M. Lin, M. Lyu, A. M. Middlebrook, G. A. Novak, A. Novelli, J. Peischl, A. Piasecki, M. A. Robinson, A. Rollins, N. B. Schafer, M. Selby, C. Senff, A. Stainsby, C. E. Stockwell, S. J. Taylor, S. Thakali, V. Treadaway, P. R. Veres, C. Warneke, E. Waxman, P. O. Wennberg, G. M. Wolfe, L. Xu, K. Zuraski, S. S. Brown   +41 more
wiley   +1 more source

Analytical solution of moistened trapezoidal porous fins considering all nonlinear effects. [PDF]

Sci Rep
Sayehvand HO, Maleki J, Haftlang PB.
europepmc   +1 more source

Spherical Lignin‐Derived Hard Carbon Anode for Sodium‐Ion Batteries

ChemSusChem, Volume 19, Issue 15, 14 August 2026.
Low‐cost alkali lignin is converted into spherical hard carbon through controlled carbonization, accompanied by tunable pore formation and carbon‐structure evolution. The optimized hard carbon anode delivers high sodium‐storage capacity and remarkable long‐term stability, retaining 80.45% capacity after 1600 cycles at 500 mA g−1.
Haoming Luo, Pan Yang, Jinghao Huang, Chengxiang Chen, Nihao Cai, Yunan Qin, George Arubi Akpowu, Yun Yu, Tao Gao, Pratim Biswas, Chao Luo   +10 more
wiley   +1 more source

Experimental investigation of novel 18 multiturn multiplane pulsating heat pipe for methanol. [PDF]

Sci Rep
Babu NN, Narasimham GSVL, Srikrishna P.
europepmc   +1 more source

Elephant‐Skin‐Inspired Porous Cementitious Tiles with Programmable Crack Networks for Passive Cooling

Advanced Materials, Volume 38, Issue 44, 7 August 2026.
Elephant‐skin‐inspired crack networks are programmed in porous diatomaceous earth (DE)‐cement composites using substrate‐guided, stress‐concentration induced fracture. The resulting crack lattices act as capillary conduits that redistribute water, while the porous matrix stores moisture.
Qingya Huang, Kun‐Hao Yu, Ji Yoon Bae, Yunchan Lee, Dorit Aviv, Shu Yang   +5 more
wiley   +1 more source

Design oriented modeling of squeezed MHD convective flow of hybrid nanoliquid over a sensor surface with chemical reaction advanced sensor technology using artificial neural network. [PDF]

Discov Nano
Iqbal MA, Abidi A, Alofairi AA, Ebad SA, Abdulhamid GH, Rakhmonov F, Aydın H.   +6 more
europepmc   +1 more source

Effect of different flue gas recirculation rates on low‐NOx combustion characteristics: A numerical simulation based on the combustion process of a gas boiler

The Canadian Journal of Chemical Engineering, Volume 104, Issue 8, Page 3970-3983, August 2026.
Abstract NOx emissions from gas boilers severely impact the environment, and flue gas recirculation (FGR) technology can effectively reduce such emissions, yet the effects of different FGR rates on combustion performance and NOx formation remain unclear. This study thus used numerical simulation (via ANSYS Fluent, adopting the realizable k‐ε turbulence
Chao Min, Shuhao Xu, Yitao Yang, Peng Wang   +3 more
wiley   +1 more source