Results 171 to 180 of about 174,468 (300)

Seed Wings Optimize the Regulation of Temperature and Light on Smith Fir Seed Germination Timing. [PDF]

Plants (Basel)
Li Y, Yang Z, Yan Q, Wang G, Shi S, Li J, Peng P.   +6 more
europepmc   +1 more source

Solution‐Shearing of Highly Smooth Ion‐Gel Thin Films: Facilitating the Deposition of Organic Semiconductors for Ion‐Gated Organic Field Effect Transistors

Advanced Electronic Materials, Volume 11, Issue 6, May 2025.
A straightforward method is introduced to produce ion‐gel films with very low surface roughness by employing a solution‐shearing coating process. These ion‐gel films permit the growth of crystalline thin films of various small molecule organic semiconductor molecules directly on top of the ion‐gel layer, thereby enabling “inverted” small molecule ...
Jonathan Perez Andrade, Angelika Wrzesińska‐Lashkova, Anupam Prasoon, Felix Talnack, Katherina Haase, Bernd Büchner, Xinliang Feng, Yana Vaynzof, Mike Hambsch, Yulia Krupskaya, Stefan C. B. Mannsfeld   +10 more
wiley   +1 more source

Phenotypic plasticity, heritability, and genotype-by-environment interactions in an insect dispersal polymorphism. [PDF]

BMC Ecol Evol
Cabon L, Varma M, Winter G, Ebeling A, Schielzeth H.   +4 more
europepmc   +1 more source

Advancing Energy Materials by In Situ Atomic Scale Methods

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss, Michael Seibt, Martin Wenderoth, Oliver Bünermann, Ole Bunjes, Till Domröse, Christian Eckel, Francesca Falorsi, Christoph Flathmann, Monica Kolek Martinez de Azagra, Matthias Krüger, Jonas Lindner, Tobias Meyer, Claus Ropers, Ulrich Ross, Kai Rossnagel, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Georg A. Traeger, Cynthia Volkert, R. Thomas Weitz, Alec M. Wodtke   +21 more
wiley   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Evolutionary constraints shape the diversity of microinsects' wing morphology. [PDF]

Proc Biol Sci
Białkowski J, Gohli J, Rossa R, Ziemiakowicz A, Goczał J.   +4 more
europepmc   +1 more source

Operando X‐Ray Diffraction and Total Scattering Characterization of Battery Materials: Not Just a Pretty Picture

Advanced Energy Materials, EarlyView.
This review focuses on operando studies of battery materials by X‐ray diffraction (XRD) and total X‐ray scattering (TXS). This work highlights potential pitfalls and identify best‐practices for operando studies and reviews some unusual experiments to illustrate how these methods can be applied beyond the evaluation of the early‐stage cycling mechanisms
Amalie Skurtveit, Eira Tiberg North, Izar Capel Berdiell, Wouter Van Beek, David S. Wragg, Alexey Y. Koposov   +5 more
wiley   +1 more source

Stroke Asymmetry in Bird Wing Dynamics During Flight from Video Data. [PDF]

Biomimetics (Basel)
Leontiuk V, Kastalskiy I, Khalid W, Kazantsev VB.   +3 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Structural dynamics and neural representation of wing deformation. [PDF]

Proc Natl Acad Sci U S A
Yarger AM, Maeda M, Siwanowicz I, Kajiyama H, Walker SM, Bomphrey RJ, Lin HT.   +6 more
europepmc   +1 more source