Results 141 to 150 of about 344,531 (218)

From Nash Equilibrium to Social Optimum and Back: A Mean Field Perspective. [PDF]

Appl Math Optim
Carmona R, Dayanıklı G, Delarue F, Laurière M.   +3 more
europepmc   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam, Zhuohan Li, Tara P. Mishra, Gerbrand Ceder   +3 more
wiley   +1 more source

From Levin's Universal Search to Policy-Guided Tree Search. [PDF]

Entropy (Basel)
Li M.
europepmc   +1 more source

Ultra‐Low‐Strain Calcium and Magnesium Ion Storage Enabled by Tunnel‐Structured MoO3 Positive Electrode

Advanced Energy Materials, EarlyView.
A hexagonal tunnel‐structured MoO3 is nanoparticulated via hydrothermal synthesis followed by ball‐milling. As a positive electrode in Ca and Mg batteries, it delivers superior capacity and structural reversibility, enabling divalent cation intercalation with minimal lattice distortion and no phase transitions.
Reona Iimura, M. D. Hashan C. Peiris, Takashi Yabu, Toshihiko Mandai, Ruijie Zhu, Akira Nasu, Saneyuki Ohno, Masaki Matsui, Itaru Honma, Manuel Smeu, Hiroaki Kobayashi   +10 more
wiley   +1 more source

Data-driven p-norms for estimating transmission loss coefficients in power systems. [PDF]

PLoS One
Montoya OD, Gil-González W, Grisales-Noreña LF.   +2 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

Effects of multistep adsorption isotherms on solute transport. [PDF]

Sci Rep
Fekete E.
europepmc   +1 more source

A Highly Hydrophilic Air Electrode With Water‐Induced Surface Reconstruction for Efficient Reversible Protonic Ceramic Cell at Low Water Partial Pressures

Advanced Energy Materials, EarlyView.
This work demonstrates a new strategy for reversible protonic ceramic cells (R‐PCCs). By developing highly hydrophilic oxides, efficient operation is achieved under low water vapor pressures while maintaining high performance and stability. This approach addresses the challenge of hydrogen production in freshwater‐scarce regions.
Nai Shi, Yun Xie, Xueyu Hu, Junji Hyodo, Chun‐Kuo Peng, Gaopeng Zhou, Hanwen Liu, Bingbing Qiu, Daqin Guan, Jiayi Tang, Yan‐Gu Lin, Ranran Peng, Moses Oludayo Tadé, Meilin Liu, Yoshihiro Yamazaki, Zongping Shao   +15 more
wiley   +1 more source

Regularized Tensor Quantile Regression With Applications to Neuroimaging Data Analysis. [PDF]

Stat Med
Pietrosanu M, Yu D, Mizera I, Jiang B, Kong L.   +4 more
europepmc   +1 more source

Foreign labor, peer‐networking and agricultural efficiency in the Italian dairy sector

Agribusiness, EarlyView.
Abstract While the presence of immigrants in the agricultural sector is widely acknowledged, the empirical evidence on its economic consequences is lacking, especially from a microeconomic perspective. Using the Farm Accountancy Data Network panel data for Italian dairy farms in the period 2008–2018, the present study investigates the relationship ...
Federico Antonioli, Simone Severini, Mauro Vigani   +2 more
wiley   +1 more source