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The search for room-temperature superconductors is a major challenge in modern physics. The discovery of copper-oxide superconductors in 1986 brought hope but also revealed complex mechanisms that are difficult to analyze and compute. In…

Materials Science · Physics 2024-09-26 Shiya Chen , Feng Zheng , Zhen Zhang , Shunqing Wu , Kai-Ming Ho , Vladimir Antropov , Yang Sun

The properties of electrons in matter are of fundamental importance. They give rise to virtually all molecular and material properties and determine the physics at play in objects ranging from semiconductor devices to the interior of giant…

Molecule synthesis through machine learning is one of the fundamental problems in drug discovery. Current data-driven strategies employ one-step retrosynthesis models and search algorithms to predict synthetic routes in a top-bottom manner.…

Machine Learning · Computer Science 2024-06-05 Songtao Liu , Hanjun Dai , Yue Zhao , Peng Liu

Predicting the critical temperature $T_c$ of new superconductors is a notoriously difficult task, even for electron-phonon paired superconductors for which the theory is relatively well understood. Early attempts by McMillan and Allen and…

Superconductivity · Physics 2019-11-27 S. R. Xie , G. R. Stewart , J. J. Hamlin , P. J. Hirschfeld , R. G. Hennig

Thermoelectric devices convert temperature gradients into electrical power and vice versa, thus enabling energy scavenging from waste heat, sensing and cooling. Yet, many of these attractive applications are hindered by the limited…

Materials Science · Physics 2019-02-14 Davide Donadio

The synthesis of crystalline materials, such as zeolites, remains a significant challenge due to a high-dimensional synthesis space, intricate structure-synthesis relationships and time-consuming experiments. Considering the one-to-many…

We employed a machine-learning assisted approach to search for superconducting hydrides under ambient pressure within an extensive dataset comprising over 150 000 compounds. Our investigation yielded around 50 systems with transition…

Superconductivity · Physics 2024-03-21 Tiago F. T. Cerqueira , Yue-Wen Fang , Ion Errea , Antonio Sanna , Miguel A. L. Marques

Layered, hexagonal crystal structures, like zeta and eta phases, play an important role in ultra-high temperature ceramics, often significantly increasing toughness of carbide composites. Despite their importance open questions remain about…

Materials Science · Physics 2025-08-27 Kat Nykiel , Brian Wyatt , Babak Anasori , Alejandro Strachan

Thermoelectric materials allow the direct conversion of waste heat into electricity, and novel materials are being investigated for this purpose. Recently, doped Bi$_2$O$_2$Se has shown high application potential. In this study, we discuss…

The technological exploitation of ferroelectricity in CMOS electron devices offers new design opportunities, but also significant challenges from an integration, optimization and modelling perspective. We here revisit the working principle…

Emerging Technologies · Computer Science 2021-05-04 David Esseni , Riccardo Fontanini , Daniel Lizzit , Marco Massarotto , Francesco Driussi , Mirko Loghi

Recent recommender systems started to use rating elicitation, which asks new users to rate a small seed itemset for inferring their preferences, to improve the quality of initial recommendations. The key challenge of the rating elicitation…

Information Retrieval · Computer Science 2024-02-27 Wonbin Kweon , SeongKu Kang , Junyoung Hwang , Hwanjo Yu

Charge-order-induced ferroelectrics display important technological applications in spintronics devices due to the possibility of magnetoelectric coupling and fast electronic switching. However, the list of known charge-order-induced…

Materials Science · Physics 2025-07-08 Jose Cuevas-Medina , Yubo Qi , Natasa Stojic , Sebastian E. Reyes-Lillo

A novel phenomenological framework for an efficient estimation of the thermo-electric properties at room temperature and elevated temperatures of body-centered cubic (BCC) transition metal concentrated alloys is proposed in this work. The…

Hydrogen diffusion in metals and alloys plays an important role in the discovery of new materials for fuel cell and energy storage technology. While analytic models use hand-selected features that have clear physical ties to hydrogen…

Materials Science · Physics 2023-10-30 Grace M. Lu , Matthew Witman , Sapan Agarwal , Vitalie Stavila , Dallas R. Trinkle

Real-world physical systems, like composite materials and porous media, exhibit complex heterogeneities and multiscale nature, posing significant computational challenges. Computational homogenization is useful for predicting macroscopic…

Computational Engineering, Finance, and Science · Computer Science 2024-07-29 Yuki Sato , Yuto Lewis Terashima , Ruho Kondo

In this paper, naive Bayesian and C4.5 Decision Tree Classifiers(DTC) are successively applied on materials informatics to classify the engineering materials into different classes for the selection of materials that suit the input design…

Machine Learning · Computer Science 2012-09-20 Hemanth K. S Doreswamy

We develop a multi-step workflow for the discovery of conventional superconductors, starting with a Bardeen Cooper Schrieffer inspired pre-screening of 1736 materials with high Debye temperature and electronic density of states. Next, we…

Superconductivity · Physics 2023-01-16 Kamal Choudhary , Kevin Garrity

Finding new two-dimensional (2D) materials with novel quantum properties is highly desirable for technological innovations. In this work, we studied a series of metal-organic frameworks (MOFs) with different metal cores and discovered…

Materials Science · Physics 2020-11-17 Jie Li , Ruqian Wu

Oxides have many potentially desirable characteristics for thermoelectric applications, including low cost and stability at high temperatures, but thus far there are few known high $zT$ $n$-type oxide thermoelectrics. In this work, we use…

Materials Science · Physics 2016-07-18 Kevin F. Garrity

Reliable calculations of the structure of heavy elements are crucial to address fundamental science questions such as the origin of the elements in the universe. Applications relevant for energy production, medicine, or national security…

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