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Dislocation-mediated plastic deformation in ceramic materials has sparked renewed research interest due to the technological potential of dislocations. Despite the long research history of dislocations as one-dimensional lattice defects in…

What factors affect a scientist's choice of research problem? Qualitative research in the history, philosophy, and sociology of science suggests that this choice is shaped by an "essential tension" between the professional demand for…

Physics and Society · Physics 2013-02-28 Jacob G. Foster , Andrey Rzhetsky , James A. Evans

Nanorobotics offers an emerging frontier in biomedicine, holding the potential to revolutionize diagnostic and therapeutic applications through its unique capabilities in manipulating biological systems at the nanoscale. Following PRISMA…

Robotics · Computer Science 2024-01-23 Shishir Rajendran , Prathic Sundararajan , Ashi Awasthi , Suraj Rajendran

We conducted a high-throughput search for topological magnetic materials on 522 new, experimentally reported commensurate magnetic structures from MAGNDATA, doubling the number of available materials on the Topological Magnetic Materials…

Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research. However, researchers face a flood of papers that hinders discovery of important knowledge. In biomedicine, this directly impacts…

The study of complex oxides and oxide heterostructures have dominated the field of experimental and theoretical condensed matter research for the better part of the last few decades. Powerful experimental techniques like molecular beam…

Strongly Correlated Electrons · Physics 2021-03-09 Hrishit Banerjee

Intraoral 3D scanning is now widely adopted in modern dentistry and plays a central role in supporting key tasks such as tooth segmentation, detection, labeling, and dental landmark identification. Accurate analysis of these scans is…

Computer Vision and Pattern Recognition · Computer Science 2026-01-07 Achraf Ben-Hamadou , Nour Neifar , Ahmed Rekik , Oussama Smaoui , Firas Bouzguenda , Sergi Pujades , Edmond Boyer , Edouard Ladroit

The discovery of two-dimensional (2D) magnetism within atomically thin structures derived from layered crystals has opened up a new realm for exploring magnetic heterostructures. This emerging field provides a foundational platform for…

Mesoscale and Nanoscale Physics · Physics 2023-11-08 Bingyu Zhang , Pengcheng Lu , Roozbeh Tabrizian , Philip X. -L. Feng , Yingying Wu

This paper investigates the relationship between scientific innovation in biomedical sciences and its impact on industrial activities, focusing on how the historical impact and content of scientific papers influenced future funding and…

Computational Engineering, Finance, and Science · Computer Science 2024-01-03 Reza Khanmohammadi , Simerjot Kaur , Charese H. Smiley , Tuka Alhanai , Ivan Brugere , Armineh Nourbakhsh , Mohammad M. Ghassemi

Exploration of the structure formation and dynamics of animate and inanimate matter on the nanometer scale is a highly interdisciplinary field of rapidly emerging research. It is relevant for various molecular and nanoscale systems of…

Chemical Physics · Physics 2023-09-06 Alexey V. Verkhovtsev , Vincenzo Guidi , Nigel J. Mason , Andrey V. Solov'yov

Quantum materials are driving a technology revolution in sensing, communication, and computing, while simultaneously testing many core theories of the past century. Materials such as topological insulators, complex oxides, quantum dots,…

Nanomaterials are an active area of research but also an economic sector in full expansion which addresses many applications domains. For instance, french production for the most common nanomaterials (such as silica, titanium dioxide,…

Materials Science · Physics 2011-06-14 Eric Gaffet

Intelligent soft matter stands at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transformative field seeks to create materials that possess…

Recent years have witnessed a surge of publications aimed at tracing temporal changes in lexical semantics using distributional methods, particularly prediction-based word embedding models. However, this vein of research lacks the cohesion,…

Computation and Language · Computer Science 2018-06-14 Andrey Kutuzov , Lilja Øvrelid , Terrence Szymanski , Erik Velldal

We review the development of ultrafast electron nanocrystallography as a method for investigating structural dynamics for nanoscale materials and interfaces. Its sensitivity and resolution are demonstrated in the studies of surface melting…

Mesoscale and Nanoscale Physics · Physics 2015-05-14 Chong-Yu Ruan , Yoshie Murooka , Ramani K. Raman , Ryan A. Murdick , Richard J. Worhatch , Aric Pell

The development of science-based categorization strategies for regulatory purposes is not a simple task. It requires understanding the needs and capacity of a wide variety of stakeholders and should consider the potential risks and…

Materials Science · Physics 2021-01-12 Scott C. Brown

Dynamic heterogeneity is now recognised as a central aspect of structural relaxation in disordered materials with slow dynamics, and was the focus of intense research in the last decade. Here we describe how initial, indirect observations…

Statistical Mechanics · Physics 2010-09-28 Ludovic Berthier , Giulio Biroli , Jean-Philippe Bouchaud , Robert L Jack

This dissertation presents three years of academic inquiry into the question of what role materials play in interaction design and participatory design processes. The dissertation aims at developing conceptual tools, based on Deweys…

Human-Computer Interaction · Computer Science 2017-03-22 Nicolai Brodersen Hansen

Nanotechnology has been one of the fastest growing fields in the last three decades. Nanomaterials (sized 1-100 nm) has a wide spectrum of potential applications in many fields, applied as coating materials or in treatment and diagnosis.…

Quantitative Methods · Quantitative Biology 2021-08-16 Enrico Catalano

Pre-trained transformer language models on large unlabeled corpus have produced state-of-the-art results in natural language processing, organic molecule design, and protein sequence generation. However, no such models have been applied to…

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