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Institution

Ikerbasque

OtherBilbao, Spain
About: Ikerbasque is a other organization based out in Bilbao, Spain. It is known for research contribution in the topics: Graphene & Quantum. The organization has 713 authors who have published 7967 publications receiving 231990 citations. The organization is also known as: Basque Foundation for Science.
Topics: Graphene, Quantum, Population, Galaxy, Magnetization


Papers
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Journal ArticleDOI
TL;DR: An overview of various available stimuli, as tools for synthetic chemists to exploit, starts with the use of chemical stimuli and focuses on physical stimuli: temperature, magnetic and electric fields, as well as light.
Abstract: The capacity to respond or adapt to environmental changes is an intrinsic property of living systems that comprise highly-connected subcomponents communicating through chemical networks. The development of responsive synthetic systems is a relatively new research area that covers different disciplines, among which nanochemistry brings conceptually new demonstrations. Especially attractive are ligand-protected gold nanoparticles, which have been extensively used over the last decade as building blocks in constructing superlattices or dynamic aggregates, under the effect of an applied stimulus. To reflect the importance of surface chemistry and nanoparticle core composition in the dynamic self-assembly of nanoparticles, we provide here an overview of various available stimuli, as tools for synthetic chemists to exploit. Along with this task, the review starts with the use of chemical stimuli such as solvent, pH, gases, metal ions or biomolecules. It then focuses on physical stimuli: temperature, magnetic and electric fields, as well as light. To reflect on the increasing complexity of current architectures, we discuss systems that are responsive to more than one stimulus, to finally encourage further research by proposing future challenges.

288 citations

Journal ArticleDOI
TL;DR: The role of Wnt–β-catenin signalling in liver development and disease, including in liver cancer, NAFLD and liver fibrosis is discussed and important preclinical and clinical studies and future directions in basic and clinical research are highlighted.
Abstract: The canonical Wnt–β-catenin pathway is a complex, evolutionarily conserved signalling mechanism that regulates fundamental physiological and pathological processes. Wnt–β-catenin signalling tightly controls embryogenesis, including hepatobiliary development, maturation and zonation. In the mature healthy liver, the Wnt–β-catenin pathway is mostly inactive but can become re-activated during cell renewal and/or regenerative processes, as well as in certain pathological conditions, diseases, pre-malignant conditions and cancer. In hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), the two most prevalent primary liver tumours in adults, Wnt–β-catenin signalling is frequently hyperactivated and promotes tumour growth and dissemination. A substantial proportion of liver tumours (mainly HCC and, to a lesser extent, CCA) have mutations in genes encoding key components of the Wnt–β-catenin signalling pathway. Likewise, hepatoblastoma, the most common paediatric liver cancer, is characterized by Wnt–β-catenin activation, mostly as a result of β-catenin mutations. In this Review, we discuss the most relevant molecular mechanisms of action and regulation of Wnt–β-catenin signalling in liver development and pathophysiology. Moreover, we highlight important preclinical and clinical studies and future directions in basic and clinical research. The Wnt–β-catenin pathway is a highly conserved pathway that regulates embryogenesis and key regenerative processes in adult organs. Here, the authors discuss the role of Wnt–β-catenin signalling in liver development and disease, including in liver cancer, NAFLD and liver fibrosis.

288 citations

Journal ArticleDOI
13 Apr 2018-Science
TL;DR: In this paper, a bottom-up method to synthesize nanoporous graphene comprising an ordered array of pores separated by ribbons, which can be tuned down to the 1-nanometer range.
Abstract: Nanosize pores can turn semimetallic graphene into a semiconductor and, from being impermeable, into the most efficient molecular-sieve membrane. However, scaling the pores down to the nanometer, while fulfilling the tight structural constraints imposed by applications, represents an enormous challenge for present top-down strategies. Here we report a bottom-up method to synthesize nanoporous graphene comprising an ordered array of pores separated by ribbons, which can be tuned down to the 1-nanometer range. The size, density, morphology, and chemical composition of the pores are defined with atomic precision by the design of the molecular precursors. Our electronic characterization further reveals a highly anisotropic electronic structure, where orthogonal one-dimensional electronic bands with an energy gap of ∼1 electron volt coexist with confined pore states, making the nanoporous graphene a highly versatile semiconductor for simultaneous sieving and electrical sensing of molecular species.

285 citations

Journal ArticleDOI
01 Sep 2019
TL;DR: In this article, the authors provide an overview of the basic concepts and key developments in the tensor network field, together with an outline of advances related to global and gauge symmetries, fermions, topological order, classification of phases, entanglement Hamiltonians, holografic duality, artificial intelligence, 2D quantum antiferromagnets, conformal field theory, disordered systems and many-body localization.
Abstract: Originally developed in the context of condensed-matter physics and based on renormalization group ideas, tensor networks have been revived thanks to quantum information theory and the progress in understanding the role of entanglement in quantum many-body systems. Moreover, tensor network states have turned out to play a key role in other scientific disciplines. In this context, here I provide an overview of the basic concepts and key developments in the field. I briefly discuss the most important tensor network structures and algorithms, together with an outline of advances related to global and gauge symmetries, fermions, topological order, classification of phases, entanglement Hamiltonians, holografic duality, artificial intelligence, the 2D Hubbard model, 2D quantum antiferromagnets, conformal field theory, quantum chemistry, disordered systems and many-body localization. Understanding entanglement in many-body systems provided a description of complex quantum states in terms of tensor networks. This Review revisits the main tensor network structures, key ideas behind their numerical methods and their application in fields beyond condensed matter physics.

285 citations

Journal ArticleDOI
TL;DR: It is concluded that, consistent with interactive accounts, higher-order linguistic representations modulate early orthographic processing and can advance theories of visual word recognition and other domains.

283 citations


Authors

Showing all 775 results

NameH-indexPapersCitations
Luis M. Liz-Marzán13261661684
Maurizio Prato10974163055
Francisco Guinea10857369426
Rafael Yuste10434237415
Tom Broadhurst9642230074
Alexei Verkhratsky8945029788
Maria Forsyth8474933340
J. Garay Garcia8134823275
Ángel Borja7731620302
Wei Zhang76193234966
Mirko Prato7637021189
Nate Bastian7635518342
A. J. Castro-Tirado7272824272
Rainer Hillenbrand7122718259
B. Andrei Bernevig6928029935
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202320
202299
20211,123
20201,135
2019918
2018843