Results 141 to 150 of about 7,043 (258)

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

Can participatory budgeting mitigate government debt risk？-An empirical analysis using cross-national panel data. [PDF]

PLoS One
Li Y, Zhang Q.
europepmc   +1 more source

Linking DSC/TGA to Cell Levels: Energetics, Evolved Gases, and Thermal Safety of NMC811‐Graphite Micro‐Cell

Advanced Energy Materials, EarlyView.
A bottom‐up, component‐resolved framework combining DSC/TGA, evolved gas analysis, and in situ XRD reveals how decomposition pathways control energy release in partial and micro‐cell configurations. Separator‐free assemblies are dominated by cathode‐O2${\rm O}_2$/anode‐Li reactions, while the separator restricts oxygen transport, reshapes the reaction ...
Ayrton M. Yanyachi, Lingmin Lin, Siddhartha Nanda, Wenlong Li, Yijin Liu, Steven Swinnea, Hadi Khani, Donal Finegan, Ofodike A. Ezekoye   +8 more
wiley   +1 more source

Economic performance of introduced cassava processing technologies in coastal regions, Tanzania. [PDF]

Sci Rep
Theodory M.
europepmc   +1 more source

Redesigning Interlayers for Anode‐Free Batteries: Harnessing Continuity and Metal Inventory

Advanced Energy Materials, EarlyView.
Interlayers for anode‐free batteries must provide continuous interfacial coverage while remaining thin enough to preserve the finite cathode‐derived active‐metal inventory. This Perspective couples thin‐film closure with stoichiometric active‐metal consumption to reveal practical design windows across chemistry, substrate roughness, cathode loading ...
Rosalía Cid, Lorenzo Fallarino
wiley   +1 more source

The Contingent Payoff of Transparency: The Mediating Roles of Citizen Participation and Enforcement in Health Service Delivery Improvement. [PDF]

J Eval Clin Pract
Atiku S, Okoh A, Olakotan O.
europepmc   +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

Policy Implementation in the Digital Era: A Comprehensive Analysis of the Electronic-Based Government System (SPBE) in Indonesia. [PDF]

F1000Res
Yulianto T, Saleh C, Noor I, Suryadi S.
europepmc   +1 more source

Processing‐Centric Innovative Strategies for Protonic Ceramic Electrochemical Cells

Advanced Energy Materials, EarlyView.
This review reveals how processing‐centric fabrication strategies govern architecture, microstructure, and interfaces in protonic ceramic electrochemical cells (PCECs), establishing a framework that translates materials innovation into scalable PCEC technologies.
Dongyeon Kim, Seeun Oh, Hyeonggeun Kim, Hyeongmin Yu, Chuancheng Duan, Kang Taek Lee   +5 more
wiley   +1 more source

Uncertainty aware and explainable construction cost prediction using a hybrid probabilistic learning model. [PDF]

Sci Rep
Chen L, Khalid OW, Tiang JJ, Tiang SS, Shin DY, Choo YH, Sharma A, Lim WH.   +7 more
europepmc   +1 more source