Results 171 to 180 of about 22,408 (262)

Diversity and taxonomy of <i>Phragmidium</i> on <i>Rosa</i> in China, with descriptions of two new species. [PDF]

MycoKeys
Liu Y, Zhao Z, Du Z, Xing X, Jiang N, Ono Y, Liang Y.   +6 more
europepmc   +1 more source

School of forest engineers in Spain, indicative of a type for a British national school of forestry

, 1886
openaire   +2 more sources

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

High-throughput phenotyping for climate-resilient forests: integrating multi-sensor fusion and root-shoot dynamics. [PDF]

Front Plant Sci
Lou J, Peng Y, Lyu N, Fan X, Liang H, Li Y.   +5 more
europepmc   +1 more source

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Machine Learning-Based Optimization of Mechanical and Morphological Performance of Polylactic Acid Nanocomposites with Lignin Nanoparticles. [PDF]

Polymers (Basel)
Imren E, Aydemir D, Kuzmin A, Gülsoy SK, Yalçın ÖÜ, Türker YŞ, Pantyukhov P.   +6 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

<i>Lasiodiplodia carlesii</i> sp. nov. (Botryosphaeriales, Botryosphaeriaceae), a novel pathogen causing canker and dieback on <i>Castanopsis</i> (Fagaceae) plantations in China. [PDF]

MycoKeys
Zhang Y, Feng J, Jiang N, Xu J, Qin C, Xu F, Tian L.   +6 more
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Region-specific forest structure pathways reveal climate effects on old-growth tropical forest biomass. [PDF]

Sci Rep
Depoortere P, Bauman D, Fayolle A, Phillips O, Bialic-Murphy L, Zohner CM, Vander Linden A, Plumacker A, de Lame H, Liang J, Reich PB, Gamarra JGP, Alberti G, Hérault B, Picard N, de-Miguel S, Nabuurs GJ, Crowther TW, Paquette A, Pretzsch H, Wiser SK, Zhou M, Chen HYH, Verbeeck H, De Cannière C, Sullivan MJP, Poorter L, Ponette Q, Bauters M, Deblauwe V, Keppel G, Brearley FQ, Zo-Bi IC, Ouattara TA, Lawes MJ, Bongers F, Meave JA, Schulze M, Ngoh ML, Ter Steege H, Homeier J, Azihou AF, Trethowan L, Slik JWF, Derroire G, Bonal D, Laurance WF, Hemp A, Murdjoko A, Aguirre-Gutiérrez J, Kintamani E, White L, Lewis SL, Hector A, Amani C, Andrade A, Angbonga A, Aragão L, Kurian A, Allah Barem F, Almeyda Zambrano AM, Alvarez-Davila E, Alvarez-Loayza P, Amstrong E, Araujo-Murakami A, Arroyo L, Baker TR, Bako O, Bánki O, Baraloto C, Barbier N, Barroso JG, Bassama P, Beeckman H, Benu NMH, Bihiya H, Birnbaum P, Bitariho R, Boeckx P, Boekee K, Bogaert J, Böhning-Gease K, Boyemba F, Brandão da Cunha H, Brienen R, Briseño-Reyes J, Broadbent EN, Camargo JL, Cassart B, Cazzolla Gatti R, Chave J, Chuyong G, Clark DB, Clark C, Collalti A, Collins M, Cornejo Valverde F, Corral-Rivas JJ, Couteron P, Cuni-Sanchez A, da Costa L, Daniel Soto J, Dar AA, Dar JA, Dauby G, de Haulleville T, Di Fiore A, Diisi J, Djuikouo K MN, Dolezal J, Dongmo N, Doucet JL, Droissart V, Engel J, Engone Obiang NL, Espinosa S, Eyre T, Fauset S, Feldpausch TR, Fischer M, Gajapersad K, Girmansyah D, Gloor E, Gomes do Amaral I, Gonmadje CF, Grieco E, Grogan J, Habonayo R, Harris DJ, Honorio Coronado E, Huamantupa-Chuquimaco I, Hubau W, Jansen PA, Jeffery KJ, Jumbam B, Kanda NB, Kamdem N, Kasongo Yakusu E, Katembo J, Kayijamahe C, Kearsley E, Kenfack D, Khan ML, Killeen T, Kothandaraman S, Kougue R, Kumar A, Kuswandi R, Labrière N, Lasso D, Laurance S, Leal M, Leblanc H, Libalah M, Lisingo J, Malhi Y, Marimon BS, Marimon Junior BH, Marshall AR, Martin EH, Martin-Ducup O, Mbasi MM, Mbayu F, Mendoza C, Mendoza Polo I, Mofack G, Monteagudo-Mendoza A, Mtui A, Muthuramkumar S, Narayanan A, Nava-Miranda MG, Neill D, Neldner VJ, Tchatchouang EN, Ngoula F, Ngugi MR, Sainge MN, Núñez Vargas P, Ortiz-Malavassi E, Pallqui Camacho N, Pandi V, Parada Gutierrez GA, Pardo G, Parthasarathy N, Pelissier R, Pfautsch S, Pijanowski BC, Piotto D, Pipoly J, Pitman N, Ploton P, Poulsen JR, Ramesh BR, Ramirez Arevalo F, Ramírez-Angulo H, Rasingam L, Réjou-Méchain M, Restrepo Correa Z, Spironello WR, Rodrigues de Souza C, Rodriguez LO, Rolim S, Roopsind A, Rovero F, Sagang LB, Saikia P, Salis A, Salla BP, Silva Espejo JE, Silveira M, Simo-Droissart M, Sirri N, Sonké B, Sundarapandian S, Swaine M, Swanepoel B, Taedoumg H, Tcheferi I, Terborgh J, Thomas D, Thomas R, Tshibamba Mukendi J, Umunay PM, Valencia R, Valenzuela Gamarra L, Valle Ferreira L, van der Heijden G, Vasquez Martinez R, Vega-Nieva JD, Vilanova E, Vilchez Alvarado B, Vinceti B, Vleminckx J, von Gadow K, Vos VA, Wasingya E, Watson J, Wortel V, Zagt R, Zébazé D, ForestPlots.net, GFBI, Bastin JF.   +242 more
europepmc   +1 more source