Results 11 to 20 of about 281,285 (295)

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

Journal 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, Matthew L. Evans, G. Rignanese   +2 more
semanticscholar   +1 more source

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

Advances 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, R. V. van Dover, F. Disalvo, S. Gruner, Ulrich B Wiesner   +4 more
semanticscholar   +1 more source

Machine learning for condensed matter physics [PDF]

Journal 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, L. C. Padierna, R. Castañeda-Priego   +2 more
semanticscholar   +1 more source

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

Machine 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, Jason Hattrick-Simpers, Z. Trautt, A. Kusne, Eva Campo, Martin Green   +5 more
semanticscholar   +1 more source

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

Physical 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, A. Goryaeva, T. Swinburne, J. Maillet, M. Nastar, M. Marinica   +5 more
semanticscholar   +1 more source

FAIR data enabling new horizons for materials research [PDF]

Nature, 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, M. Aeschlimann, M. Albrecht, T. Bereau, H. Bungartz, C. Felser, Mark Greiner, A. Gross, C. Koch, K. Kremer, W. Nagel, M. Scheidgen, C. Wöll, C. Draxl   +13 more
semanticscholar   +1 more source

Ferroelectric Rashba Semiconductors as a novel class of multifunctional materials [PDF]

, 2014
The discovery of novel properties, effects or microscopic mechanisms in modern materials science is often driven by the quest for combining, into a single compound, several functionalities: not only the juxtaposition of the latter functionalities, but ...
Picozzi, Silvia
core   +3 more sources

Quantum geometry in condensed matter [PDF]

National 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, Xiaobin Qiang, Hai-Zhou Lu, X. C. Xie   +3 more
semanticscholar   +1 more source

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

Advanced 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, A. Scheie, E. Dagotto, D. A. Tennant   +3 more
semanticscholar   +1 more source

Time-Resolved X-Ray Microscopy for Materials Science [PDF]

Annual review of materials research (Print), 2018
X-ray microscopy has been an indispensable tool to image nanoscale properties for materials research. One of its recent advances is extending microscopic studies to the time domain to visualize the dynamics of nanoscale phenomena.
H. Wen, M. Cherukara, M. Holt
semanticscholar   +1 more source