Results 151 to 160 of about 12,432 (271)

Recent Progress in the Phase‐Controlled Synthesis of Ruthenium Nanocrystals for Catalytic Applications

Advanced Materials, EarlyView.
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He, Zhiqi Wang, Jiaqi Guan, Younan Xia   +3 more
wiley   +1 more source

Decoupled carbon assimilation and growth responses to aridity in temperate deciduous oaks. [PDF]

Sci Adv
Rao MP, Pacheco-Solana A, Li R, Oryan B, Jensen JE, Rodriguez-Caton M, Klinek L, Pierrat ZA, Ruehr S, Oelkers R, Boeschoten LE, Griffin KL, McCormack ML, Yang X, Verfaillie J, Baldocchi D, Hise J, Turner AJ, Scanlon TM, Andreu-Hayles L, Eitel JUH, Pederson N, Griffin D, Stahle D, Maxwell JT, Voelker S, Kannenberg SA, Peñuelas J, Magney TS.   +28 more
europepmc   +1 more source

Lead Halide Perovskite Photoelectrocatalysis

Advanced Materials, EarlyView.
Lead halide perovskite semiconductors have emerged as highly promising materials for solar fuel and chemical synthesis. This perspective discusses advances made in the rational photoelectrode design to improve solar‐to‐chemical conversion, product scope, and scalability.
Virgil Andrei
wiley   +1 more source

Contrasting wood anatomy drives divergent xylogenesis and climate responses in 10 warm-temperate trees. [PDF]

Front Plant Sci
Zhang Y, Zhai X, Lu G, Bai H, Chen J, Xu J, Tian Y, Pederson N.   +7 more
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Van der Waals Chromium Telluride Thin Films Prepared by Hybrid Pulsed Laser Deposition With Tunable Magnetism

Advanced Materials Interfaces, EarlyView.
Epitaxial Cr(1+δ)Te2 thin films were synthesized via hybrid Pulsed Laser Deposition (PLD) that combined Molecular Beam Epitaxy (MBE) techniques with PLD. Control of the Cr intercalation, δ, enabled modulation of magnetic anisotropy, Curie temperature, and transport properties.
Pia Henning, Anna Tschesche, Tobias Meyer, Jasnamol Palakkal   +3 more
wiley   +1 more source

Tree ring segmentation performance in highly disturbed trees using deep learning. [PDF]

PLoS One
Zambrano-Suárez JD, Pérez-Martín J, Manchado AM, Ballesteros Cánovas JA.   +3 more
europepmc   +1 more source

A Hybrid Computational Framework for PCF‐based SPR Sensor With Machine Learning and xAI

Advanced Materials Interfaces, EarlyView.
A photonic crystal fiber‐based surface plasmon resonance (SPR) sensor integrating rectangular air holes along with conventional circular air holes achieves exceptional wavelength sensitivity of 15,000 nm/RIU across a broad refractive index range of 1.31–1.39. Integrated machine learning with explainable AI (xAI) models achieves high prediction accuracy
Mahabur Rahman Fahim, Sudeep Paul, Musrat Jahan, Md Abu Shahid Chowdhury   +3 more
wiley   +1 more source

Isoscape of Oxygen Stable Isotopes in Woods of the Amazon. [PDF]

Molecules
Batista ACG, Araújo MGDS, Souza-Silva IM, Amorim DJ, Adorno FCF, Nardoto GB, Costa VE, Tomazello-Filho M, Higuchi N, Aparicio PDS, da Silva YLBV, Sccoti MSV, Barbosa AC, Costa FJV, Sena-Souza JP, Bowen GJ, Martinelli LA.   +16 more
europepmc   +1 more source