Results 161 to 170 of about 147,692 (266)
A novel class of functionals for perturbative algebraic quantum field theory
Eli Hawkins, Kasia Rejzner, B. F. Visser
openalex +2 more sources
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Three-torsion subgroups and wild conductor exponents of plane quartics. [PDF]
Lupoian E, Rawson J.
europepmc +1 more source
Covering data and higher dimensional global class field theory
Moritz Kerz, Alexander Schmidt
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Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
VeloxChem Quantum-Classical Interoperability for Modeling of Complex Molecular Systems. [PDF]
de Gracia Triviño JA +11 more
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Context and generalizability in health policy and systems research: a plea for an integrative praxis of theorizing. [PDF]
Van Belle S, Marchal B.
europepmc +1 more source
Subgrain and Cavity Development during Creep of Al‐3.85%Mg
Al‐3.85%Mg does form subgrains if crept at very high strains. This fact allows the unification of the creep description in two different alloys such as pure Al and Al–Mg alloys. It is classically considered that the creep mechanisms for type M (e.g., pure Al) and type A alloys (e.g., Al–Mg alloys) are different.
Augusta Isaac +6 more
wiley +1 more source

