Results 251 to 260 of about 912,120 (337)
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 +19 more
wiley +1 more source
Exploration of Minimum Energy Paths Through Feature-Vector Force-Driven Reaction Coordinate Exploration Approach. [PDF]
Praveen D, Chiriki S, Jose KVJ.
europepmc +1 more source
Composite cathode degradation is not merely the sum of its particles. Kinetically mismatched populations develop state‐of‐charge differences that drive spontaneous internal Li‐ion transfer; the accompanying transient currents accelerate surface degradation.
Seheon Oh +5 more
wiley +1 more source
Quantifying Randomness in Stochastic Bit Sequences. [PDF]
Lange C +4 more
europepmc +1 more source
The influence of different electrolytes on Lithium–sulfur batteries is investigated. Multimodal operando analysis, including Raman, UV–vis, and Impedance spectroscopy is used to study degradation mechanisms. The solubility of polysulfides in the electrolyte is crucial for battery capacity and lifetime.
Oliver Löhmann +3 more
wiley +1 more source
M polynomial and degree based topological indices of six common synthetic polymers. [PDF]
George N, Arcot U, Palanisamy BD.
europepmc +1 more source
Farmers' Preferences for Gene Editing Crops and Influencing Factors
ABSTRACT Gene editing (GE) is gaining momentum worldwide, but limited data on UK farmers' preferences hinders our understanding of its potential impact amid deregulation debates. Based on a survey of 200 English arable farmers, we employ a Latent Class Analysis and Multinomial Logit regressions to investigate current preferences for GE crops.
Bertolozzi‐Caredio Daniele +1 more
wiley +1 more source
Discovering expert-level Nash equilibrium algorithms with large language models. [PDF]
Li H, Li D, Deng X.
europepmc +1 more source
ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley +1 more source
Ex‐Ante Assessment of Farm Resilience to Institutional Shocks: A Modeling Approach
ABSTRACT Using the agent‐based model SWISSland, we simulate farm‐level responses and interactions under two institutional shocks: tariff reductions and direct payment reductions. Using a framework we developed, we assess resilience capacities, resilience attributes, and the provision of private and public goods, following the shock.
Nadja El Benni, Gabriele Mack
wiley +1 more source

