Results 191 to 200 of about 44,429 (272)

Single-particle chemical analysis reveals organic-rich detonation soot products. [PDF]

open access: yesCommun Chem
Farley RN   +5 more
europepmc   +1 more source

Surface Ligand Engineering in Quantum Dot Photocatalysis: Mechanisms, Design Principles, and Applications

open access: yesAdvanced Chemical Engineering, Volume 1, Issue 2, December 2026.
Surface ligands govern quantum dot photocatalysis through thermodynamic band‐edge tuning, kinetic charge‐transfer regulation, and microenvironmental control. Rational ligand engineering, using short‐chain, inorganic, conjugated, or dual‐ligand systems, enables efficient solar fuel production, selective organic transformations, environmental remediation,
Yali Weng   +5 more
wiley   +1 more source

A Two‐Way Coupled Simulation Framework for the Prediction of Fire‐Induced Damage and Smoke Propagation in a Building

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT The contribution is concerned with a fully coupled simulation methodology for fire‐induced damage in concrete structures. Fire events in buildings not only generate high temperatures and the spreading of smoke gases but also induce significant structural damages of the concrete structure.
A. Palani   +3 more
wiley   +1 more source

The reproduction of fire-born soot for comparative cleaning tests on heritage objects. [PDF]

open access: yesNPJ Herit Sci
Yang N   +17 more
europepmc   +1 more source

Pollution and Haunted Eco‐Histories: Silent Hill and Silent Horrors in Centralia, Pennsylvania

open access: yesPopular Culture Review, Volume 37, Issue 2, December 2026.
ABSTRACT Centralia is a former mining town and borough in Northeastern Pennsylvania, whose population has been steadily declining since the Mine Fire of 1962—a fire that still burns today. The “horrors” of living in Centralia are reflected in horror media set in postindustrial mining towns like Silent Hill.
Maz Jardon
wiley   +1 more source

Few Shot Learning for Flame State Monitoring From Limited Visible and Infrared Images

open access: yesExpert Systems, Volume 43, Issue 11, November 2026.
ABSTRACT The success of machine learning in image‐based combustion monitoring requires big data, which is costly, and even impossible in industrial applications. To address this, we introduce metric‐based few shot learning for combustion monitoring and classification, to the best of our knowledge, for the first time.
Ruiyuan Kang   +2 more
wiley   +1 more source

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