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On Hi.h-Frequency Soli.on Soluti.ns to a （2＋1）-Di.ensi.nal Nonli.ear Parti.l Di.ferenti.l Evoluti.n Equati.n

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Chi.ese Physi.s Letters 2008年第2期25卷 425-428页

作者： Kuetche Kamgang victor Bouetou Bouetou Thomas Ti.oleon Crepi. Kofane Department of Physi.s Faculty of Science University of Yaounde I PO Box. 812 Cameroon Ecole Nati.nale Supéri.ure Polytechni.ue University of Yaounde I PO Box. 8390 Cameroon The A bdus Salam i.ternati.nal Centre for Theoreti.al Physi.s P.O. Box 586 Strada Costiera II-34014 Trieste Italy

A （2＋1）-di.ensi.nal nonli.ear parti.l di.ferenti.l evoluti.n （NLPDE） equati.n i. presented as a model equati.n for relaxi.g hi.h-rate processes i. acti.e barothropi. medi.. Wi.h the ai. of symboli. computati.n and Hi.ota＇s method, some typi.al soli.ary wave soluti.ns to thi. （2＋1）-di.ensi.nal NLPDE equati.n are unearthed. As a result, dependi.g on the di.si.ati.e parameter, si.gle and multi.alued soluti.ns are depi.ted.

关键词： pulsars x-ray spectra relati.i.y and gravi.ati.n redshi.t

Traci.g manufacturi.g processes usi.g blockchai.-based token composi.i.ns

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Di.i.al Communi.ati.ns and Networks 2020年第2期6卷 167-176页

作者： Marti. Westerkamp Fri.dhelm victor Axel Küpper Servi.e-centri. Networki.g Telekom Innovation LaboratoriesTechnische Universitat Berlin10587BerlinGermany

Supply chai. traceabi.i.y i. one of the most promi.i.g use cases to benefi. from characteri.ti.s of blockchai.,such as decentrali.ati.n,i.mutabi.i.y and transparency,not requi.ed to bui.d pri.r trust relati.nshi.s among enti.i.s.A plethora of supply chai. traceabi.i.y soluti.ns based on blockchai. has been proposed ***,current systems are li.i.ed to traci.g si.ple goods that have not been part of the manufacturi.g *** recommend a method that allows for the traceabi.i.y of manufactured goods,i.cludi.g thei. *** are represented usi.g non-fungi.le di.i.al tokens that are created on a blockchai. for each batch of manufactured *** create a li.k between a product and the components that are needed to produce i.,we propose“token reci.es”that defi.e the amount of tokeni.ed goods requi.ed for mi.ti.g a new *** i.put tokens are automati.ally and transparently consumed when creati.g a product token,the physi.al process of produci.g a new i.em out of exi.ti.g components i. projected onto the *** ulti.ately leads to the complete traceabi.i.y of goods,i.cludi.g the ori.i. of *** the performance of the system,we show that a prototypi.al i.plementati.n for the Ethereum Vi.tual Machi.e(EVM)scales li.early wi.h the amount of the i.put and goods tracked.

关键词： Supply chai. Traceabi.i.y Blockchai. Di.tri.uted ledger technology Smart contract

New strong bounds on sub-GeV dark matter from boosted and Mi.dal effects

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Sci.nce Chi.a(Physi.s,Mechani.s & Astronomy) 2023年第7期66卷 48-54页

作者： victor V.Flambaum Li.ngli.ng Su Lei.Wu Bi. Zhu School of Physi.s University of New South WalesSydney 2052Australia Department of Physi.s and i.sti.ute of Theoreti.al Physi.s Nanjing Normal UniversityNanjing 210023China School of Physi.s Yantai UniversityYantai 264005China

Due to the low nuclear recoi.s,sub-Ge V dark matter(DM)i. usually beyond the sensi.i.i.y of the conventi.nal DM di.ect detecti.n *** boosted and Mi.dal scatteri.g mechani.ms have been proposed as two new complementary avenues to search for li.ht *** thi. study,we consi.er the momentum-transfer effect i. the DM-nucleus scatteri.g to deri.e the new bounds on sub-GeV DM for these two *** show that such an effect i. si.able so that the exi.ti.g bounds on the DM-nucleus scatteri.g cross secti.n can be i.proved si.ni.i.antly.

关键词： sub-GeV dark matter Mi.dal effect atmospheri. dark matter momentum-transfer

Di.solved organi. carbon i. permafrost regi.ns: A revi.w

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Sci.nce Chi.a Earth Sci.nces 2019年第2期62卷 349-364页

作者： Qi.ng MA Hui.un Ji. Congrong YU victor F.BENSE State Key Laboratory of Frozen Soi.s Engi.eeri.g Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences College of Resources and Envi.onment Uni.ersi.y of Chi.ese Academy of Sci.nces School of Ci.i. Engi.eeri.g Harbin Institute of Technology State Key Laboratory of Hydrology-Water Resources and Hydrauli. Engi.eeri.g Hohai University Hydrology and Quanti.ati.e Water Management Group Department of Environmental Sciences Wageningen University

A large quanti.y of organi. carbon(C) i. stored i. northern and elevati.nal permafrost regi.ns. A porti.n of thi. large terrestri.l organi. C pool wi.l be transferred by water i.to soi. soluti.n(～0.4 Pg C yr^(-1))(1 Pg=10^(15) g), ri.ers (～0.06 Pg C yr^(-1)),wetlands, lakes, and oceans. The lateral transport of di.solved organi. carbon(DOC) i. the pri.ary pathway, i.pacti.g ri.er bi.geochemi.try and ecosystems. However, cli.ate warmi.g wi.l substanti.lly alter the lateral C shi.ts i. permafrost ***, permafrost, preci.i.ati.n, soi. humi.i.y and temperature, and mi.robi.l acti.i.i.s, among many other envi.onmental factors, wi.l shi.t substanti.lly under a warmi.g cli.ate. i. remai.s uncertai. as to what extent the lateral C cycle i. respondi.g,and wi.l respond, to cli.ate change. Thi. paper revi.ws recent studi.s on terrestri.l ori.i.s of DOC, bi.degradabi.i.y, transfer pathways, and modelli.g, and on how to forecast of DOC fluxes i. permafrost regi.ns under a warmi.g cli.ate, as well as the potenti.l anthropogeni. i.pacts on DOC i. permafrost regi.ns. i. i. concluded that:(1) surface organi. layer, permafrost soi.s,and vegetati.n leachates are the mai. DOC sources, wi.h about 4.72 Pg C DOC stored i. the topsoi. at depths of 0–1 m i. permafrost regi.ns;(2) i.-stream DOC concentrati.ns vary spati.lly and temporally to a relati.ely small extent (1–60 mg C L^(-1)) and annual export vari.s from 0.1–10 g C m^(-2) yr^(-1);(3) bi.degradabi.i.y of DOC from the thawi.g permafrost can be as hi.h as 71%, wi.h a medi.n at 52%;(4) DOC flux i. controlled by multi.le factors, mai.ly i.cludi.g vegetati.n, soi. properti.s,permafrost occurrence, ri.er di.charge and other related envi.onmental factors, and(5) many stati.ti.al and process-based models have been developed, but model predi.ti.ns are i.consi.tent wi.h observati.nal results largely dependent on the i.di.i.ual watershed characteri.ti.s and future di.charge trends. Thus, i. i. sti.l di.fi.ult to predi.t how futu

关键词： Di.solved organi. carbon (DOC) Aquati. ecosystem Carbon bi.degradabi.i.y DOC export Permafrost degradati.n

Methods for recordi.g the ti.e profi.e of si.gle ultrashort pulses of electron beams and di.charge currents i. real-ti.e mode

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Hi.h Voltage 2016年第1期1卷 43-51页

作者： victor F.Tarasenko Dmi.ry V.Rybka i.sti.ute of Hi.h Current Electroni.s Si.eri.n Branch Russian Academy of SciencesTomsk 634055Russia

The collectors for measuri.g the ti.e profi.e of a current pulse of the runaway electron beam that are generatedunder atmospheri. pressure are descri.ed. An analysi. of changes i. pulse shape dependi.g on the bandwi.th of theregi.trati.n path wi.h a temporal resoluti.n of up to 20 ps was performed. i. i. shown that the electron beam detectedbehi.d small-di.meter di.phragms has a complex structure, whi.h depends on the parameters of the gas di.de. Therei. a desi.n of the current shunts wi.h a temporal resoluti.n of up to 100 ps i. thi. study. Measurement techni.ues ofvoltage pulses wi.h subnanosecond and nanosecond durati.n are bri.fly descri.ed.

关键词： ultrashort pulse recordi.g

Benchmarki.g graph neural networks for materi.ls chemi.try

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npj Computati.nal Materi.ls 2021年第1期7卷 739-746页

作者： victor Fung Ji.xi. Zhang Eri. Juarez Bobby G.Sumpter Center for Nanophase Materi.ls Sci.nces Oak Ridge National LaboratoryOak RidgeTNUnited States Computer Sci.nce and Mathemati.s Di.i.i.n Oak Ridge National LaboratoryOak RidgeTNUnited States

Graph neural networks(GNNs)have recei.ed i.tense i.terest as a rapi.ly expandi.g class of machi.e learni.g models remarkably well-sui.ed for materi.ls *** date,a number of successful GNNs have been proposed and demonstrated for systems rangi.g from crystal stabi.i.y to electroni. property predi.ti.n and to surface chemi.try and heterogeneous ***,a consi.tent benchmark of these models remai.s lacki.g,hi.deri.g the development and consi.tent evaluati.n of new models i. the materi.ls ***,we present a workflow and testi.g platform,MatDeepLearn,for qui.kly and reproduci.ly assessi.g and compari.g GNNs and other machi.e learni.g *** use thi. platform to opti.i.e and evaluate a selecti.n of top performi.g GNNs on several representati.e datasets i. computati.nal materi.ls *** our i.vesti.ati.ns we note the i.portance of hyperparameter selecti.n and fi.d roughly si.i.ar performances for the top models once *** i.enti.y several strengths i. GNNs over conventi.nal models i. cases wi.h composi.i.nally di.erse datasets and i. i.s overall flexi.i.i.y wi.h respect to i.puts,due to learned rather than defi.ed *** several weaknesses of GNNs are also observed i.cludi.g hi.h data requi.ements,and suggesti.ns for further i.provement for appli.ati.ns i. materi.ls chemi.try are di.cussed.

关键词： fi.ld chemi.try i.tense

Explori.g anharmoni. latti.e dynami.s and di.lectri. relati.ns i. ni.bate perovski.es from fi.st-pri.ci.les self-consi.tent phonon calculati.ns

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npj Computati.nal Materi.ls 2023年第1期9卷 757-766页

作者： Kwangrae Ki. Woohyun Hwang Seung-Hyun victor Oh Aloysi.s Soon Department of Materi.ls Sci.nce&Engi.eeri.g Yonsei UniversitySeoul 03722Republic of Korea

Group i.ni.bates(KNbO_(3) and NaNbO_(3))are promi.i.g lead-free alternati.es for hi.h-performance energy storage *** thei. potenti.l,thei. complex phase transi.i.ns ari.i.g from temperature-dependent phonon softeni.g and anharmoni. effects on di.lectri. properti.s remai. poorly *** thi. study,we employ densi.y-functi.nal theory(DFT)and self-consi.tent phonon(SCP)calculati.ns to i.vesti.ate fi.i.e-temperature phonons i. cubi. ni.bate *** i.clude expli.i. anharmoni. vi.rati.nal effects,SCP frequenci.s are shi.ted by the bubble self-energy correcti.n wi.hi. the quasi.arti.le(QP)approxi.ati.n,provi.i.g preci.e descri.ti.ns of phonon softeni.g i. these strongly anharmoni. *** further calculate the stati. di.lectri. constant of KNbO_(3) and NaNbO_(3) as a functi.n of temperature usi.g the Lyddane-Sachs-Teller(LST)relati.n and QP-corrected phonon *** theoreti.al results ali.n wi.h experi.ental data,offeri.g reli.ble temperature-dependent phonon di.persi.ns whi.e consi.eri.g anharmoni. self-energi.s and thermal expansi.n effects,enhanci.g our understandi.g of the complex relati.ns between latti.e vi.rati.ns and phase transi.i.ns i. these anharmoni. oxi.es.

关键词： harmoni. phonon di.lectri.

On the Conversi.n of Hi.h-Frequency Soli.on Soluti.ns to a （1＋1）-Di.ensi.nal Nonli.ear Parti.l Di.ferenti.l Evoluti.n Equati.n

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Chi.ese Physi.s Letters 2008年第6期25卷 1972-1975页

作者： Kuetche Kamgang victor Bouetou Bouetou Thomas Ti.oleon Crepi. Kofane Department of Physi.s Faculty of Science University of Yaounde Ⅰ PO Box 812 Cameroon Ecole Nati.nale Supéri.ure Polytechni.ue University of Yaounde Ⅰ PO Box 8390 Cameroon The Abdus Salam i.ternati.nal Centre for Theoreti.al Physi.s PO Box 586 Strada Costiera Ⅱ-34014 Trieste Italy

From the dynami.al equati.n of barotropi. relaxi.g medi. beneath pressure perturbati.ns, and usi.g the reducti.e perturbati.e analysi., we i.vesti.ate the soli.on structure of a （1＋1）-di.ensi.nal nonli.ear parti.l di.ferenti.l evoluti.n （NLPDE） equati.n δy（δη ＋ uδy ＋（u^2/2）δy）u ＋ auy ＋ u = 0, descri.i.g hi.h-frequency regi.e of perturbati.ns. Thus, by means of Hi.ota＇s bi.i.eari.ati.n method, three typi.al soluti.ns dependi.g strongly upon a characteri.ti. di.si.ati.n parameter are unearthed.

关键词： supernova explosi.n proto-neutron star shock wave

Usi.g deep neural networks coupled wi.h pri.ci.al component analysi. for ore producti.n forecasti.g at open-pi. mi.es

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Journal of Rock Mechani.s and Geotechni.al Engi.eeri.g 2024年第3期16卷 727-740页

作者： Chengkai.Fan Na Zhang Bei.Ji.ng Wei.victor Li. Department of Ci.i. and Envi.onmental Engi.eeri.g University of AlbertaEdmontonAlbertaT6G 2E3Canada Department of Mathemati.al and Stati.ti.al Sci.nces University of AlbertaEdmontonAlbertaT6G 2G1Canada

Ore producti.n i. usually affected by multi.le i.fluenci.g i.puts at open-pi. ***,the complex nonli.ear relati.nshi.s between these i.puts and ore producti.n remai. *** becomes even more challengi.g when trai.i.g data(*** haulage i.formati.n and weather condi.i.ns)are *** machi.e learni.g(ML)algori.hms,deep neural network(DNN)i. a superi.r method for processi.g nonli.ear and massi.e data by adjusti.g the amount of neurons and hi.den *** study adopted DNN to forecast ore producti.n usi.g truck haulage i.formati.n and weather condi.i.ns at open-pi. mi.es as trai.i.g *** the predi.ti.n models were bui.t,pri.ci.al component analysi.(PCA)was employed to reduce the data di.ensi.nali.y and eli.i.ate the multi.olli.eari.y among hi.hly correlated i.put *** veri.y the superi.ri.y of DNN,three ANNs contai.i.g only one hi.den layer and si. tradi.i.nal ML models were establi.hed as benchmark *** DNN model wi.h multi.le hi.den layers performed better than the ANN models wi.h a si.gle hi.den *** DNN model outperformed the extensi.ely appli.d benchmark models i. predi.ti.g ore *** can provi.e engi.eers and researchers wi.h an accurate method to forecast ore producti.n,whi.h helps make sound budgetary deci.i.ns and mi.e planni.g at open-pi. mi.es.

关键词： Oi. sands producti.n Open-pi. mi.i.g Deep learni.g Pri.ci.al component analysi.(PCA) Arti.i.i.l neural network Mi.i.g engi.eeri.g