Copper-Mediated Leaching of LiNi<sub>0.65</sub>Co<sub>0.25</sub>Mn<sub>0.10</sub>O<sub>2</sub> in H<sub>3</sub>PO<sub>4</sub>: Thermodynamics, Structural Evolution, and Redox Mechanism. [PDF]
Đorđević I +6 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Physics-informed structural diagnostics of model-data agreement beyond scalar metrics. [PDF]
Haddadi H, Kloskowski A, Mironowicz P.
europepmc +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Interfacial Stability and Design Strategies for Halide Solid Electrolytes in High-Voltage All-Solid-State Sodium-Ion Batteries. [PDF]
Jang M, Kwon E, Jeon C, Kim S, Yu S.
europepmc +1 more source
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Autonomous thermodynamically informed database generation for machine-learned interatomic potentials and application to magnesium. [PDF]
Fletcher VG, Bartók AP, Pártay LB.
europepmc +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Computational Study and Detailed Kinetic Model of C<sub>1</sub>-C<sub>3</sub> Aldehyde Formation from Cellulose-Based Anhydroglucose via Pyrolysis. [PDF]
Xie X, Fujita M, Tonokura K.
europepmc +1 more source
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source

