Results 201 to 210 of about 50,390 (265)

Enhanced Thermoelectric Performance of GeTe‐Sb2Te3 Pseudo‐Binary Phase Change Material Through Stoichiometry Optimization

Advanced Electronic Materials, EarlyView.
A GeTe‐Sb2Te3 composition spread is fabricated using RF magnetron co‐sputtering. Increasing Sb content stabilized the high‐performance cubic GeTe phase. The composition 5Sb3₇Te5₈ exhibited the highest thermoelectric performance, achieving a power factor of ∼1 mW m−1 K−2 and a maximum zT of 0.81 at 300°C.
Nur Qalishah Adanan, Sichao Li, Syed Zulfiqar Hussain Shah, Durga Venkata Maheswar Repaka, Joel K. W. Yang, Iris Nandhakumar, Kedar Hippalgaonkar, Sunmi Shin, Robert E. Simpson, Pawan Kumar   +9 more
wiley   +1 more source

Dynamic Landau–Khalatnikov Modeling of Ferroelectric Hafnium–Zirconium Oxides Across Volatile and Non‐Volatile Switching

Advanced Electronic Materials, EarlyView.
Compositionally engineered hafnium–zirconium oxide capacitors are described by an extended Landau–Khalatnikov framework incorporating inertial and nonlinear damping terms. The unified model captures ferroelectric and volatile regimes within a single material platform, linking free‐energy landscapes to circuit‐level behavior.
Davide Rossetti, Yichun Xu, Shiva Asapu, Taehwan Moon, Seung Ju Kim, Drake R. Austin, Ruoyu Zhao, Tong Wang, Jian Zhao, Brian M. Everhart, Michele Bonnin, Alon Ascoli, Fernando Corinto, Nicholas R. Glavin, R. Stanley Williams, J. Joshua Yang   +15 more
wiley   +1 more source

The energy budget of the Earth

, 2020
Christensen, Ulrich R., James, D. E.
openaire   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +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

Electrochemical and Thermal Interplay in Blended Cathodes for All Solid‐State Batteries

Advanced Energy Materials, EarlyView.
This work analyzes blended LFP‐NMC cathodes for all solid state batteries, revealing their balanced rate performance and enhanced thermal properties. Operando X‐ray diffraction studies uncovered lithiation gradients and asymmetric charging effects due to kinetic limitations.
Simon Si Ming Ji, Zhuo Li, Abhinand Ayyaswamy, Sascha Kremer, Shintaro Inaba, Ana G. Claus, Dayoung Jun, Se Hwan Park, Moonseong Kim, Bairav S. Vishnugopi, Hui Zhong, Sanjit Ghose, Michael Drakopoulos, Nghia T. Vo, Zhong Zhong, Jürgen Janek, Partha P. Mukherjee, Kelsey B. Hatzell   +17 more
wiley   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

Advanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou, Cinthya Herrera, Duncan Atkins, Elixabete Ayerbe, Giorgio Baraldi, Stéphanie Belin, Anass Benayad, Didier Blanchard, Federico Capone, Ennio Capria, Isidora Cekic‐Laskovic, Robert Dominko, Kristina Edström, Ajay Gautam, Lukas Helfen, Antonella Iadecola, Quentin Jacquet, Gregor Kapun, Xinyu Li, Aleksandar Matic, Nataliia Mozhzhukhina, Andrew J. Naylor, Poul Norby, Chris O'Keefe, Alexandre Ponrouch, Jean‐Pascal Rueff, Elena Tchernykova, Deyana Tchitchekova, Israel Temprano, Nikita Vostrov, Marnix Wagemaker, Martin Winter, Christian Wölke, Tejs Vegge, Sandrine Lyonnard   +34 more
wiley   +1 more source

Nanocrystalline LCO/LLZO Composite Cathode Films for Solid State Batteries

Advanced Energy Materials, EarlyView.
A single precursor solution is solution‐deposited and calcined at only 750°C to yield a dense, nanograined LiCoO2/LLZO composite cathode, in which both phases crystallize independently with minimal interdiffusion. Assembled into all‐solid‐state Li‐metal batteries, the composite delivers 111.7 mAh g−1 initial discharge capacity and retains 93% after 100
Lucie Quincke, Steffen Weinmann, Jesse J. Hinricher, Matteo Galasso, Chiara Althammer, Fran Kurnia, Kun Joong Kim, Wolff‐Ragnar Kiebach, Jennifer L. M. Rupp   +8 more
wiley   +1 more source

Promoting Healthier Drinking: Evidence From a Vignette Experiment on Contextual and Informational Drivers of Dealcoholized Wine Choices

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci, Giulia Maesano, Leonardo Casini, Maurizio Canavari, Marija Cerjak   +4 more
wiley   +1 more source

Voluntary Collective Action to Address Growing Agricultural Challenges in Two Countries: Experimental Insights and Commonalities

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We conducted two framed field economic experiments with citrus farmers in Florida, United States and soybean farmers in Argentina to investigate their willingness to coordinate pest and weed management efforts. Despite the contrast between these two agricultural contexts, we find striking behavioral commonalities.
Ariel Singerman, Sergio H. Lence
wiley   +1 more source