GSTDTAP

浏览/检索结果: 共38条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Comparing energy and material efficiency rebound effects: an exploration of scenarios in the GEM-E3 macroeconomic model 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Skelton, Alexandra C. H.;  Paroussos, Leonidas;  Allwood, Julian M.
收藏  |  浏览/下载:10/0  |  提交时间:2020/08/18
CGE model  Computable general equilibrium  Rebound effect  Jevon'  s Paradox  Material efficiency  Resource efficiency  Circular economy  
Healthy Pollinators: Evaluating Pesticides with Molecular Medicine Approaches 期刊论文
TRENDS IN ECOLOGY & EVOLUTION, 2020, 35 (5) : 380-383
作者:  Lopez-Osorio, Federico;  Wurm, Yannick
收藏  |  浏览/下载:0/0  |  提交时间:2020/07/02
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
Illumination as a material service: A comparison between Ancient Rome and early 19th century London 期刊论文
ECOLOGICAL ECONOMICS, 2020, 169
作者:  Whiting, Kai;  Carmona, Luis Gabriel;  Brand-Correa, Lina;  Simpson, Edward
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
MFA  Roman lighting  Georgian lighting  Energy services  Stock efficiency  Material efficiency  Sustainable materials  
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:30/0  |  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:23/0  |  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).


  
The sustainable development index: Measuring the ecological efficiency of human development in the anthropocene 期刊论文
ECOLOGICAL ECONOMICS, 2020, 167
作者:  Hickel, Jason
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/02
Time discounting in Harold Hotelling's approach to natural resource economics: The unsolved ethical question 期刊论文
ECOLOGICAL ECONOMICS, 2019, 163: 52-60
作者:  Franco, Marco P., V;  Gaspard, Marion;  Mueller, Thomas
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/27
Time discounting  Intergenerational equity  Exhaustible resources  Natural resource economics  Harold Hotelling  
A greener path for the EU Common Agricultural Policy 期刊论文
SCIENCE, 2019, 365 (6452) : 449-+
作者:  Pe&;  39;er, Guy
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/27
High thermoelectric cooling performance of n-type Mg3Bi2-based materials 期刊论文
SCIENCE, 2019, 365 (6452) : 495-498
作者:  Mao, Jun;  Zhu, Hangtian;  Ding, Zhiwei;  Liu, Zihang;  Gamage, Geethal Amila;  Chen, Gang;  Ren, Zhifeng
收藏  |  浏览/下载:14/0  |  提交时间:2019/11/27