Results 131 to 140 of about 6,438,092 (299)

Forest essays, level 7-12

, 2016
Big red wins back title as nation's largest ponderosa pine -- Salmon's journey home -- Destructive foreign invader -- Douglas-fir seedling reaches for the light -- Community members and school kids bring back a forest -- High-climbing botanists discover ...

core  

A New Strategy for Creating Quantum Light Emitters Via Post‐Growth Hydrogen‐Ion Irradiation of III‐V Nanowires

Advanced Functional Materials, EarlyView.
A post‐growth method is demonstrated to realize energy‐tunable quantum emitters in GaAs/GaAsN/GaAs core–multishell nanowires on a Si substrate. By combining the N‐induced bandgap reduction with H‐ion irradiation, the GaAsN potential landscape is engineered, enabling isolated, narrow emission lines that function as single‐photon sources with g(2)(0) ∼ 0.
Akant Sagar Sharma, Paolo De Vincenzi, Nadine Denis, Francesca Santangeli, Riccardo Pallucchi, Harikrishnan Gopalakrishnan, Elena Blundo, Antonio Polimeni, Marco Felici, Fumitaro Ishikawa, Marta De Luca   +10 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Evidence for Itinerant Ferromagnetic Flat Bands Producing Large Transverse Responses

Advanced Materials, EarlyView.
Itinerant ferromagnetic flat bands are demonstrated in GdCo5 with a high Curie temperature of 940K, a stacked honeycomb–kagome lattice, through angle‐resolved photoemission spectroscopy and magneto‐thermoelectric measurements. These topological flat bands generate large Berry curvaturte, producing gigantic anomalous Nernst effect with record‐high ...
Susumu Minami, Yangming Wang, Seigo Souma, Hiroto Nakamura, Akito Sakai, Takumi Osumi, Hang Su, Hikaru Watanabe, Shun'ichiro Kurosawa, Rikuto Oiwa, Daisuke Nishio‐Hamane, Kosuke Nakayama, Takuya Nomoto, Ryotaro Arita, Takafumi Sato, Satoru Nakatsuji   +15 more
wiley   +1 more source

PUBLIC CONSERVATION LAND AND EMPLOYMENT GROWTH IN THE NORTHERN FOREST REGION [PDF]

As with many environmental issues, debates about increasing public conservation lands in the Northern Forest region frequently center on a perceived tradeoff between jobs and the environment.
Lewis, David A., Plantinga, Andrew J., Hunt, Gary L.   +2 more
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Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Spatial Prediction of Diameter Distributions for the Alpine Protection Forests in Ebensee, Austria, Using ALS/PLS and Spatial Distributional Regression Models

Remote Sensing
A novel Bayesian spatial distributional regression model is presented to predict forest structural diversity in terms of the distributions of the stem diameter at breast height (DBH) in the protection forests in Ebensee, Austria.
Arne Nothdurft, Andreas Tockner, Sarah Witzmann, Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Karl Stampfer, Andrew O. Finley   +7 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

A new method for estimating forest stand carbon stock: Segmentation and modeling based on forest aboveground imagery

Ecological Indicators
Estimating forest stand carbon stock (SCS) is crucial for forest management and achieving carbon neutrality. However, traditional forest surveys are time-consuming, laborious and may posing the additional risk of harming the forest habitats.
Xingjing Chen, Ying Guo, Zhulin Chen, Xin Luo, Peng Wang, Mengmeng Shi, Xuefeng Wang   +6 more
doaj   +1 more source