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| 1 | Changes in reproductive investment with altitude in an alpine plant显示文摘Aims In perennial species,the allocation of resources to reproduction results in a reduction of allocation to vegetative growth and,therefore,impacts future reproductive success.As a consequence,variation in this trade-off is among the most important driving forces in the life-history evolution of perennial plants and can lead to locally adapted genotypes.In addition to genetic variation,phenotypic plasticity might also contribute to local adaptation of plants to local conditions by mediating changes in reproductive allocation.Knowledge on the importance of genetic and environmental effects on the tradeoff between reproduction and vegetative growth is therefore essential to understand how plants may respond to environmental changes.Methods We conducted a transplant experiment along an altitudinal gradient from 425to1921 min the frontrange of the Western Alps of Switzerland to assess the influence of both altitudinal origin of populations and altitude of growing site on growth,reproductive investment and local adaptation in Poa alpina.Important findings In our study,the investment in reproduction increased with plant size.Plant growth and the relative importance of reproductive investment decreased in populations originating from higher altitudes compared to populations originating from lower altitudes.The changes in reproductive investment were mainly explained by differences in plant size.In contrast to genetic effects,phenotypic plasticity of all traits measured was low and not related to altitude.As a result,the population from the lowest altitude of origin performed best at all sites.Our results indicate that in P.alpina genetic differences in growth and reproductive investment are related to local conditions affecting growth,i.e.interspecific competition and soil moisture content. | Yann Hautier Christophe F.Randin Jurg Stocklin Antoine Guisan | 2009 | Journal of Plant Ecology2009，2，3： | 17 |
| 2 | Effective mass and Fermi surface complexity factor from ab initio band structure calculations显示文摘The effective mass is a convenient descriptor of the electronic band structure used to characterize the density of states and electron transport based on a free electron model.While effective mass is an excellent first-order descriptor in real systems,the exact value can have several definitions,each of which describe a different aspect of electron transport.Here we use Boltzmann transport calculations applied to ab initio band structures to extract a density-of-states effective mass from the Seebeck Coefficient and an inertial mass from the electrical conductivity to characterize the band structure irrespective of the exact scattering mechanism.We identify a Fermi Surface Complexity Factor:N_(v)^(*)K^(*) from the ratio of these two masses,which in simple cases depends on the number of Fermi surface pockets eN_(v)^(*) T and their anisotropy K^(*),both of which are beneficial to high thermoelectric performance as exemplified by the high values found in PbTe.The Fermi Surface Complexity factor can be used in high-throughput search of promising thermoelectric materials. | Zachary M.Gibbs Francesco Ricci Guodong Li Hong Zhu Kristin Persson Gerbrand Ceder Geoffroy Hautier Anubhav Jain G.Jeffrey Snyder | 2017 | npj Computational Materials2017，，1： | 11 |
| 3 | New frontiers for the materials genome initiative显示文摘The Materials Genome Initiative(MGI)advanced a new paradigm for materials discovery and design,namely that the pace of new materials deployment could be accelerated through complementary efforts in theory,computation,and experiment.Along with numerous successes,new challenges are inviting researchers to refocus the efforts and approaches that were originally inspired by the MGI.In May 2017,the National Science Foundation sponsored the workshop“Advancing and Accelerating Materials Innovation Through the Synergistic Interaction among Computation,Experiment,and Theory:Opening New Frontiers”to review accomplishments that emerged from investments in science and infrastructure under the MGI,identify scientific opportunities in this new environment,examine how to effectively utilize new materials innovation infrastructure,and discuss challenges in achieving accelerated materials research through the seamless integration of experiment,computation,and theory.This article summarizes key findings from the workshop and provides perspectives that aim to guide the direction of future materials research and its translation into societal impacts. | Juan J.de Pablo Nicholas E.Jackson Michael A.Webb Long-Qing Chen Joel E.Moore Dane Morgan Ryan Jacobs Tresa Pollock Darrell G.Schlom Eric S.Toberer James Analytis Ismaila Dabo Dean M.DeLongchamp Gregory A.Fiete Gregory M.Grason Geoffroy Hautier Yifei Mo Krishna Rajan Evan J.Reed Efrain Rodriguez Vladan Stevanovic Jin Suntivich Katsuyo Thornton Ji-Cheng Zhao | 2019 | npj Computational Materials2019，，1： | 7 |
| 4 | Materials property prediction for limited datasets enabled by feature selection and joint learning with MODNet显示文摘In order to make accurate predictions of material properties,current machine-learning approaches generally require large amounts of data,which are often not available in practice.In this work,MODNet,an all-round framework,is presented which relies on a feedforward neural network,the selection of physically meaningful features,and when applicable,joint-learning.Next to being faster in terms of training time,this approach is shown to outperform current graph-network models on small datasets.In particular,the vibrational entropy at 305 K of crystals is predicted with a mean absolute test error of 0.009 meV/K/atom(four times lower than previous studies).Furthermore,joint learning reduces the test error compared to single-target learning and enables the prediction of multiple properties at once,such as temperature functions.Finally,the selection algorithm highlights the most important features and thus helps to understand the underlying physics. | Pierre-Paul De Breuck Geoffroy Hautier Gian-Marco Rignanese | 2021 | npj Computational Materials2021，，1： | 5 |
| 5 | Transparent conducting materials discovery using high-throughput computing显示文摘Transparent conducting materials(TCMs)are required in many applications from solar cells to transparent electronics.Developing high performance materials combining the antagonistic properties of transparency and conductivity has been challenging especially for p-type materials.Recently,high-throughput ab initio computational screening has emerged as a formidable tool for accelerating materials discovery.In this review,we discuss how this approach has been applied for identifying TCMs.We provide a brief overview of the different materials properties of importance for TCMs(e.g.,dopability,effective mass,and transparency)and present the ab initio techniques available to assess them.We focus on the accuracy of the methodologies as well as their suitability for high-throughput computing.Finally,we review the different high-throughput computational studies searching for new TCMs and discuss their differences in terms of methodologies and main findings. | Guillaume Brunin Francesco Ricci Viet-Anh Ha Gian-Marco Rignanese Geoffroy Hautier | 2019 | npj Computational Materials2019，，1： | 3 |
| 6 | Unimodal productivity-biodiversity relationship along the gradient of multidimensional resources across Chinese grasslands显示文摘Resources can affect plant productivity and biodiversity simultaneously and thus are key drivers of their relationships in addition to plant-plant interactions.However,most previous studies only focused on a single resource while negle cting the nature of resource multidimensionality.Here we integrated four essential resources for plant growth into a single metric of resource diversity(RD)to investigate its effects on the productivity-biodiversity relationship(PBR)across Chinese grasslands.Results showed that habitats differing in RD have different PBRs—positive in low-resource habitats,but neutral in medium-and high-resource ones—while collectively,a weak positive PBR was observe d.However,when excluding direct effects of RD on productivity and biodiversity,the PBR in high-resource habitats became negative,which leads to a unimodal instead of a positive PBR along the RD gradient.By integrating resource effects and changing plant-plant interactions into a unified framework with the RD gradient,our work contributes to uncovering underlying me chanisms for inconsistent PBRs at large scales. | Yanfen Wang Jianqing Du Zhe Pang Yali Liu Kai Xue Yann Hautier Biao Zhang Li Tang Lili Jiang Baoming Ji Xingliang Xu Jing Zhang Ronghai Hu Shutong Zhou Fang Wang Rongxiao Che Di Wang Chaoting Zhou Xiaoyong Cui Nico Eisenhauer Yanbin Hao | 2022 | National Science Review2022，9，12： | 2 |
| 7 | Automatic fog detection and estimation of visibility distance through use of an onboard camera显示文摘 | HAUTIERE N TAREL J P LAVENANT J | 2006 | Machine Vision and Applications2006，17，1： | 1 |
| 8 | Vision enhancement in homogeneous and heterogeneous fog 显示文摘 | Tarel J Hautiere N Caraffa L | 2012 | IEEE Intelligent Transportation Systems Magazine2012，4，2： | 1 |
| 9 | Real-time disparity contrast combination for onboard estimation of the visibility distance显示文摘 | HAUTIERE N LABAYRADE R | 2006 | IEEE Transactions on Intelligent Transportation Systems2006，7，2： | 1 |
| 10 | Potential role of optimal velocity as a qualitative factor of physical functional performance in women aged 72to 96years显示文摘 | Clémencon Hautier Rahmani | 2008 | Arch Phys Med Rehabil2008，89，8： | 1 |
| 11 | Blind contrast restoration assessment by gradient ratioing at visible edges 显示文摘 | Hautiere N Tarel J P | 2008 | Image Analysis and Stereology2008，27，2： | 1 |
| 12 | Mortality and morbidity among elderly people with burns-evaluation of data on admission 显示文摘 | Lumenta DB Hautier A Desouches C | 2008 | Burns2008，34，7： | 1 |
| 13 | Skin substitutes reconstructed in the laboratory:application in burn treatment显示文摘 | BRAYE F HAUTIER A BOUEZ C | 2005 | Pathol Biol (Paris)2005，53，10： | 1 |
| 14 | Is the dehopectoral flap born again? Role in postburn head and neck reconstruction 显示文摘 | BEY E HAUTIER A PRADIER J P | 2009 | Bums2009，35，1： | 1 |
| 15 | A High-Throughput Infrastructure for Density Functional Theory Calculations显示文摘 | Jain A Hautier G Moore C J | 2011 | Computational Materials Science2011，，50： | 1 |
| 16 | Determinants of the ener- gy cost of front -crawl swimming in children显示文摘 | Poujade B Hautier C A Rouard A | 2002 | Eur J Appl Phys- iol2002，87，1： | 1 |
| 17 | Novel Mixed Polyanions Lithium-Ion Battery Cathode Materials Predicted by High-Throughput Ab Initio Computations 显示文摘 | Hautier G Jain A Chen H | 2011 | Journal of Materials Chemistry2011，，17： | 1 |
| 18 | Propranolol for treatment of ulcerated infantile heman- giomas 显示文摘 | Saint-- Jean M Leaute- Labreze C Mazereeuw-- Hautier J | 2011 | J Am Acad Dermatol2011，64，5： | 1 |
| 19 | Competition for light causes plant biodiversity loss after eutrophication显示文摘 | HAUTIER Y NIKLAUS P A Hector A | 2009 | Science2009，324，5927： | 1 |
| 20 | Blind contrast enhancement assessment by gradient ratioing at visible edges显示文摘 | Hautiere N Tarel J P Aubert D | 2008 | Image Analysis and Stereology Journal2008，27，2： | 1 |
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