Results 171 to 180 of about 6,879 (260)

Hercynite pinning delivers enhanced creep resistance in Fe₂O₃–reinforced Al6061: experiments and Arrhenius modeling [PDF]

S. P. Shivakumar, A. S. Sharraan, G. Manavendra, P. B. Bharath   +3 more
openalex   +1 more source

Prediction of moisture content of natural gases using simple Arrhenius-type function [PDF]

, 2011
Alireza Bahadori
openalex   +1 more source

Lattice Distortion‐Driven Metal Exsolution in Perovskite Oxides

Advanced Science, EarlyView.
This study elucidates the mechanism of lattice distortion‐driven exsolution through a combination of computational simulations and experimental approaches. Lattice distortion facilitates the formation of oxygen vacancies and subsequent metal segregation, thereby enhancing the exsolution behavior.
Yo Han Kim, Uchan Jeon, Hyeongwon Jeong, Bo‐Ram Won, Jeong Woo Han, Jae‐ha Myung   +5 more
wiley   +1 more source

Role of the experimental filter in obtaining the Arrhenius plot in multifragmentation reactions [PDF]

, 1998
O. Tirel, G. Auger, Regina Nebauer, J. Aichelin   +3 more
openalex   +1 more source

Metal‐Support Interaction Triggered Electronic Reconstruction in Pd/CoN‐Co4N Catalysts for Optimizing MEK Oxidation and Poisoning Resistance

Advanced Science, EarlyView.
The strengthened EMSI in Pd/CoN‐Co4N induces electronic rearrangement, generating abundant Pd0 species in situ, modulating the Pd d‐band center to enhance O2 adsorption and MEK activation. Concurrently, it creates numerous Lewis acid sites that preferentially adsorb poisons and shield the active sites.
Yadi Wang, Chaoqian Ai, Cai Wang, Zeyu Jiang, Jialei Wan, Jingjing Wang, Xiangbo Feng, Chi He   +7 more
wiley   +1 more source

(GQR31/Math1) Geometry-Gated Catalysis Beyond Arrhenius–Marcus: Shielded Intermediates, Electronic Rationality, and Time-Structured Reactivity.

JAMES SUTTON
openalex   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Toimellinen maanviljeliä. 1, Maanviljelys-opin perusteet / kirjoittaneet J. Arrhenius ja C. A. Lindqvist ; esitellyt J. Arrhenius.

, 1870
J. Arrhenius
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Arrhenius Model to Predict Respiration Rate of Minimally Processed Broccoli

, 2016
Departemen Teknik Mesin dan Biosistem, Institut Pertanian Bogor, Nurul Imamah, Rokhani Hasbullah, Departemen Teknik Mesin dan Biosistem, Institut Pertanian Bogor, Lilik Pujantoro Eko Nugroho, Departemen Teknik Mesin dan Biosistem, Institut Pertanian Bogo   +5 more
openalex   +1 more source

Unconventional Hysteretic Charge Filling in Moiré‐Reconstructed Helical Trilayer Graphene

Advanced Science, EarlyView.
In helical trilayer graphene, sequential twisting reconstructs the moiré landscape into periodic domains separated by aperiodic boundaries. Longitudinal transport reveals sweep‐direction‐dependent hysteresis, while the Hall response traces this behavior to hysteretic charge filling at the aperiodic boundaries.
Hangyeol Park, Junhyeok Oh, Rasoul Ghadimi, Chiranjit Mondal, Yungi Jeong, Won Beom Choi, Kenji Watanabe, Takashi Taniguchi, Bohm‐Jung Yang, Joonho Jang   +9 more
wiley   +1 more source