Results 1 to 10 of about 329,767 (106)

Physical and chemical properties of carbon nanotubes in view of mechanistic neuroscience investigations. Some outlook from condensed matter, materials science and physical chemistry

open access: yesMaterials Science and Engineering: C, 2021
The open border between non-living and living matter, suggested by increasingly emerging fields of nanoscience interfaced to biological systems, requires a detailed knowledge of nanomaterials properties. An account of the wide spectrum of phenomena, belonging to physical chemistry of interfaces, materials science, solid state physics at the nanoscale ...
Stefano A. Mezzasalma   +2 more
openaire   +4 more sources

Robust model benchmarking and bias-imbalance in data-driven materials science: a case study on MODNet [PDF]

open access: yesJournal of Physics: Condensed Matter, 2021
As the number of novel data-driven approaches to material science continues to grow, it is crucial to perform consistent quality, reliability and applicability assessments of model performance. In this paper, we benchmark the Materials Optimal Descriptor
Pierre-Paul De Breuck   +2 more
semanticscholar   +1 more source

Superconducting Quantum Metamaterials from Convergence of Soft and Hard Condensed Matter Science

open access: yesAdvances in Materials, 2021
Superconducting quantum metamaterials are expected to exhibit a variety of novel properties, but have been a major challenge to prepare as a result of the lack of appropriate synthetic routes to high‐quality materials.
P. Beaucage   +4 more
semanticscholar   +1 more source

Machine learning for condensed matter physics [PDF]

open access: yesJournal of Physics: Condensed Matter, 2020
Condensed matter physics (CMP) seeks to understand the microscopic interactions of matter at the quantum and atomistic levels, and describes how these interactions result in both mesoscopic and macroscopic properties.
Edwin Bedolla   +2 more
semanticscholar   +1 more source

Scientific AI in materials science: a path to a sustainable and scalable paradigm [PDF]

open access: yesMachine Learning: Science and Technology, 2020
Recently there has been an ever-increasing trend in the use of machine learning (ML) and artificial intelligence (AI) methods by the materials science, condensed matter physics, and chemistry communities.
Brian L. DeCost   +5 more
semanticscholar   +1 more source

Capabilities and limits of autoencoders for extracting collective variables in atomistic materials science.

open access: yesPhysical Chemistry, Chemical Physics - PCCP, 2022
Free energy calculations in materials science are routinely hindered by the need to provide reaction coordinates that can meaningfully partition atomic configuration space, a prerequisite for most enhanced sampling approaches. Recent studies on molecular
J. Baima   +5 more
semanticscholar   +1 more source

Quantum geometry in condensed matter [PDF]

open access: yesNational Science Review
One of the most celebrated accomplishments of modern physics is the description of fundamental principles of nature in the language of geometry. As the motion of celestial bodies is governed by the geometry of spacetime, the motion of electrons in ...
Tian Liu   +3 more
semanticscholar   +1 more source

FAIR data enabling new horizons for materials research [PDF]

open access: yesNature, 2022
The prosperity and lifestyle of our society are very much governed by achievements in condensed matter physics, chemistry and materials science, because new products for sectors such as energy, the environment, health, mobility and information technology
Matthias Scheffler   +13 more
semanticscholar   +1 more source

Witnessing Entanglement and Quantum Correlations in Condensed Matter: A Review [PDF]

open access: yesAdvanced Quantum Technologies
The detection and certification of entanglement and quantum correlations in materials is of fundamental and far‐reaching importance, and has seen significant recent progress.
P. Laurell   +5 more
semanticscholar   +1 more source

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