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A systematic review of the evidence on decoupling of GDP, resource use and GHG emissions, part II: synthesizing the insights 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Haberl, Helmut;  Wiedenhofer, Dominik;  Virag, Doris;  Kalt, Gerald;  Plank, Barbara;  Brockway, Paul;  Fishman, Tomer;  Hausknost, Daniel;  Krausmann, Fridolin;  Leon-Gruchalski, Bartholomaeus;  Mayer, Andreas;  Pichler, Melanie;  Schaffartzik, Anke;  Sousa, Tania;  Streeck, Jan;  Creutzig, Felix
收藏  |  浏览/下载:10/0  |  提交时间:2020/08/18
decoupling  economic growth  degrowth  material flow  energy  exergy  GHG emissions  
Energy use and the sustainability of intensifying food production 期刊论文
NATURE SUSTAINABILITY, 2020, 3 (4) : 257-259
作者:  Schramski, John R.;  Woodson, C. Brock;  Brown, James H.
收藏  |  浏览/下载:7/0  |  提交时间:2020/05/13
Digitalisation of goods: a systematic review of the determinants and magnitude of the impacts on energy consumption 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (4)
作者:  Court, Victor;  Sorrell, Steven
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
information and communication technologies  systematic review  energy consumption  digitalisation  dematerialisation  
Ultra-high open-circuit voltage of tin perovskite solar cells via an electron transporting layer design 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Jiang, Xianyuan;  Wang, Fei;  Wei, Qi;  Li, Hansheng;  Shang, Yuequn;  Zhou, Wenjia;  Wang, Cheng;  Cheng, Peihong;  Chen, Qi;  Chen, Liwei;  Ning, Zhijun
收藏  |  浏览/下载:11/0  |  提交时间:2020/05/13
Hidden linkages between resources and economy: A "Beyond-GDP" approach using alternative welfare indicators 期刊论文
ECOLOGICAL ECONOMICS, 2020, 169
作者:  Kalimeris, Panos;  Bithas, Kostas;  Richardson, Clive;  Nijkamp, Peter
收藏  |  浏览/下载:9/0  |  提交时间:2020/07/02
Beyond GDP  Material flow analysis (MFA)  Dematerialization  Material intensity (MI)  Decoupling  ISEW  HDI  GPI  (de)growth  Sustainability  Welfare measurement  
Observations of grain-boundary phase transformations in an elemental metal 期刊论文
NATURE, 2020, 579 (7799) : 375-+
作者:  Valente, Luis;  Phillimore, Albert B.;  Melo, Martim;  Warren, Ben H.;  Clegg, Sonya M.;  Havenstein, Katja;  Tiedemann, Ralph;  Illera, Juan Carlos;  Thebaud, Christophe;  Aschenbach, Tina;  Etienne, Rampal S.
收藏  |  浏览/下载:17/0  |  提交时间:2020/07/03

Atomic-resolution observations combined with simulations show that grain boundaries within elemental copper undergo temperature-induced solid-state phase transformation to different structures  grain boundary phases can also coexist and are kinetically trapped structures.


The theory of grain boundary (the interface between crystallites, GB) structure has a long history(1) and the concept of GBs undergoing phase transformations was proposed 50 years ago(2,3). The underlying assumption was that multiple stable and metastable states exist for different GB orientations(4-6). The terminology '  complexion'  was recently proposed to distinguish between interfacial states that differ in any equilibrium thermodynamic property(7). Different types of complexion and transitions between complexions have been characterized, mostly in binary or multicomponent systems(8-19). Simulations have provided insight into the phase behaviour of interfaces and shown that GB transitions can occur in many material systems(20-24). However, the direct experimental observation and transformation kinetics of GBs in an elemental metal have remained elusive. Here we demonstrate atomic-scale GB phase coexistence and transformations at symmetric and asymmetric [111 over bar ] tilt GBs in elemental copper. Atomic-resolution imaging reveals the coexistence of two different structures at sigma 19b GBs (where sigma 19 is the density of coincident sites and b is a GB variant), in agreement with evolutionary GB structure search and clustering analysis(21,25,26). We also use finite-temperature molecular dynamics simulations to explore the coexistence and transformation kinetics of these GB phases. Our results demonstrate how GB phases can be kinetically trapped, enabling atomic-scale room-temperature observations. Our work paves the way for atomic-scale in situ studies of metallic GB phase transformations, which were previously detected only indirectly(9,15,27-29), through their influence on abnormal grain growth, non-Arrhenius-type diffusion or liquid metal embrittlement.


  
The role of cement service-life on the efficient use of resources 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Miller, Sabbie A.
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
cement  concrete  in-use stock  dynamic materials flow analysis  longevity in-service  resource efficiency  
On-device lead sequestration for perovskite solar cells 期刊论文
NATURE, 2020, 578 (7796) : 555-+
作者:  Fruchart, Michel;  Zhou, Yujie;  Vitelli, Vincenzo
收藏  |  浏览/下载:31/0  |  提交时间:2020/07/03

Perovskite solar cells, as an emerging high-efficiency and low-cost photovoltaic technology(1-6), face obstacles on their way towards commercialization. Substantial improvements have been made to device stability(7-10), but potential issues with lead toxicity and leaching from devices remain relatively unexplored(11-16). The potential for lead leakage could be perceived as an environmental and public health risk when using perovskite solar cells in building-integrated photovoltaics(17-23). Here we present a chemical approach for on-device sequestration of more than 96 per cent of lead leakage caused by severe device damage. A coating of lead-absorbing material is applied to the front and back sides of the device stack. On the glass side of the front transparent conducting electrode, we use a transparent lead-absorbing molecular film containing phosphonic acid groups that bind strongly to lead. On the back (metal) electrode side, we place a polymer film blended with lead-chelating agents between the metal electrode and a standard photovoltaic packing film. The lead-absorbing films on both sides swell to absorb the lead, rather than dissolve, when subjected to water soaking, thus retaining structural integrity for easy collection of lead after damage.


Using lead-absorbing materials to coat the front and back of perovskite solar cells can prevent lead leaching from damaged devices, without affecting the device performance or long-term operation stability.


  
Classification with a disordered dopantatom network in silicon 期刊论文
NATURE, 2020, 577 (7790) : 341-+
作者:  Vagnozzi, Ronald J.;  Maillet, Marjorie;  Sargent, Michelle A.;  Khalil, Hadi;  Johansen, Anne Katrine Z.;  Schwanekamp, Jennifer A.;  York, Allen J.;  Huang, Vincent;  Nahrendorf, Matthias;  Sadayappan, Sakthivel;  Molkentin, Jeffery D.
收藏  |  浏览/下载:24/0  |  提交时间:2020/07/03

Classification is an important task at which both biological and artificial neural networks excel(1,2). In machine learning, nonlinear projection into a high-dimensional feature space can make data linearly separable(3,4), simplifying the classification of complex features. Such nonlinear projections are computationally expensive in conventional computers. A promising approach is to exploit physical materials systems that perform this nonlinear projection intrinsically, because of their high computational density(5), inherent parallelism and energy efficiency(6,7). However, existing approaches either rely on the systems'  time dynamics, which requires sequential data processing and therefore hinders parallel computation(5,6,8), or employ large materials systems that are difficult to scale up(7). Here we use a parallel, nanoscale approach inspired by filters in the brain(1) and artificial neural networks(2) to perform nonlinear classification and feature extraction. We exploit the nonlinearity of hopping conduction(9-11) through an electrically tunable network of boron dopant atoms in silicon, reconfiguring the network through artificial evolution to realize different computational functions. We first solve the canonical two-input binary classification problem, realizing all Boolean logic gates(12) up to room temperature, demonstrating nonlinear classification with the nanomaterial system. We then evolve our dopant network to realize feature filters(2) that can perform four-input binary classification on the Modified National Institute of Standards and Technology handwritten digit database. Implementation of our material-based filters substantially improves the classification accuracy over that of a linear classifier directly applied to the original data(13). Our results establish a paradigm of silicon-based electronics for smallfootprint and energy-efficient computation(14).