Results 151 to 160 of about 4,168,632 (293)

Insights into the changes of soil microorganism communities and carbon cycle metabolic functions caused by the application of L-glufosinate-ammonium. [PDF]

Front Microbiol
Dai Y, Li H, Wang H, He Y, Cai K, Wu X, Zou H, Wang Y, Cai L, Wu X, Shamsi IH.   +10 more
europepmc   +1 more source

Glissile Interphase Boundaries Enable Collective Phase Switching in Epitaxial Polar Oxides

Advanced Functional Materials, EarlyView.
A triple point is identified in the phase diagram of low‐symmetry epitaxial BiFeO3 thin film along with an extended regime of phase competition associated with a flattened energy landscape. The electromechanical response is shown to be governed by correlated interphase‐boundary motion, including scale‐free avalanche dynamics characteristic of systems ...
Mohammad Moein Seyfouri, Oliver Paull, Ralph Bulanadi, Yasuhiro Sakamoto, Shintaro Yasui, Mikayla Lord, Mahak Chhabra, David Walker, Patrycja Paruch, Shery Chang, Nagarajan Valanoor, Daniel Sando   +11 more
wiley   +1 more source

Congo Basin Carbon Cycle Responses to Global Change. [PDF]

Glob Chang Biol
Worden S, Fu R, Bloom AA, Bauters M, Verbeeck H, Fatoyinbo T, Hubau W, Koutika LS, Kengdo SK, Maes SL, Medjibe V, Russo NJ, Saatchi S, Sagang LB, Smith TB, Sonwa DJ, Boeckx P, Ordway EM.   +17 more
europepmc   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Correction: ARETA (Alpine caRbon cyclE daTAset): a dataset on physical, chemical and isotopic data of Alpine groundwaters. [PDF]

Sci Data
Donnini M, Melelli L, Vetuschi Zuccolini M, Fiorucci F, Cardellini C, Frondini F.   +5 more
europepmc   +1 more source

Bio‐Inspired Synthesis of Macroporous Single Crystal Particles as Scattering Agents

Advanced Functional Materials, EarlyView.
A general strategy is presented that delivers unique, single‐crystal microparticles that combine submicron macroporosity and uniform particle shapes. A bioinspired approach is used to occlude three distinct types of additives – polystyrene microspheres, polymer vesicles and amino acids – within calcite single crystals, and subsequent thermal annealing ...
Stephanie E. Foster, Gianni Jacucci, Ouassef Nahi, Thomas Kress, Zabeada Aslam, Stuart Micklethwaite, Alexander N. Kulak, Rik Drummond‐Brydson, Melinda J. Duer, Yi‐Yeoun Kim, Silvia Vignolini, Fiona C. Meldrum   +11 more
wiley   +1 more source

Electrospun Wood‐Derived Biopolymers as Electrodes in Electrochemical Energy Storage Technologies

Advanced Functional Materials, EarlyView.
Electrospinning transforms wood‐derived cellulose and lignin into architecturally defined, binder‐free carbon electrodes with tuneable porosity and functionality. This review shows how fibre design enables decoupled charge and mass transport, enhancing performance across battery systems, while identifying key challenges in spinnability, scalability ...
Michael W. Thielke, Hattie R. Chisnall, Jesus Vazquez Chavez, Ana B. Jorge Sobrido   +3 more
wiley   +1 more source

Eccentricity rhythms in the Oligocene-Miocene carbon cycle regulated by weathering and carbonate burial. [PDF]

Sci Adv
Liu F, Huang E, Du J, Ma W, Liu Z, Lourens LJ, Tian J.   +6 more
europepmc   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Vegetation biogeography is a main source of uncertainty in modelling the land carbon cycle. [PDF]

Nat Commun
Zhao R, Luo X, Walker AP, Hoffman FM, Koh LP.   +4 more
europepmc   +1 more source