Results 251 to 260 of about 20,125,779 (304)

Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions

Advanced Functional Materials, EarlyView.
This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian, Jingkai Lin, Zhihao Tian, Selusiwe Ncube, Huayang Zhang, Emiliano Cortés, Hongqi Sun, Shaobin Wang   +7 more
wiley   +1 more source

Magnetic character of the low-energy enhancement in ⁷⁰Zn. [PDF]

Nature
Ronning EK, Richard AL, Liddick SN, Spyrou A, Ringle R, Arora H, Berg HC, Berkman JM, Bleuel DL, Bosmpotinis K, Campbell SE, Chen X, Crider BP, Coleman RJ, DeYoung PA, Doetsch AA, Erington H, Gaballah T, Gamage ND, Good EC, Greaves B, Hartley AC, Huffman J, Ireland CM, Izzo C, Jain R, Larsen AC, Larsson JEL, Lubna RS, Maier FM, Mogannam MJ, Mücher D, Mumpower MR, Owens-Fryar G, Ogunbeku TH, Scriven DP, Smith MK, Sumithrarachchi CS, Sweet A, Taft K, Tsantiri A, Uthayakumaar S, Wiedeking M.   +42 more
europepmc   +1 more source

Exotic 4f-Correlated Electronic States of Ferromagnetic Kondo-Lattice Compounds <i>Re</i>Rh₆Ge₄ (<i>Re</i> = Ce, Ho, Er, Tm). [PDF]

ACS Omega
Wang C, Gao Y, Jiang J, Chen Q, Lu H, Qian P.   +5 more
europepmc   +1 more source

Chalcogen Impurity Barriers in 2D Systems via Semi-Empirical/Machine Learning Modeling: A Survey of 4000 Materials. [PDF]

J Chem Theory Comput
Pereira ML, da Luz MGE, Cesana P, da Rosa AL, Piotrowski MJ, Guedes-Sobrinho D, A S Pereira T, Moujaes EA, Dias AC, Tromer RM.   +9 more
europepmc   +1 more source

Polariton spectroscopy at the diamond K-edge via X-ray parametric down-conversion. [PDF]

Sci Rep
Kerker F, Krebs D, Brockmüller X, Negi A, Sahle CJ, Detlefs B, Bömer C.   +6 more
europepmc   +1 more source

Multi-Objective Optimization for Data Center HVAC Systems Based on Edge-Cloud Collaborative Deep Reinforcement Learning. [PDF]

Sensors (Basel)
Huang S, Zhou Y, Liu Y.
europepmc   +1 more source

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High energy physics

Physics Today, 1960
Future historians of science will find excellent material for a case study in the development of the so-called “Rochester” conferences on high-energy physics, the tenth of which took place at the end of August of this year.
L. I. Lapidus, L. B. Okun'
openaire   +2 more sources

High-energy physics horizons

Physics Today, 1973
A horizon is a boundary beyond which we cannot see. But one can speculate on what lies beyond it, and I shall try to do so for three aspects of high-energy physics: its technology, its need for support and planning, and—what makes the other two parts worth caring about—the prospects for significant new discoveries.
openaire   +1 more source