Category archives: DIPC

3D topological photonic crystals whith Chern vectors at will

3D topological photonic crystals whith Chern vectors at will

DIPC Advanced materials

By DIPC

Some materials have special universal properties protected against perturbations. Such properties are theoretically described by topology, a branch of mathematics concerned with the properties of geometrical objects that are unchanged by continuous deformations. So-called topological insulators are electronic materials that have a bulk band gap like an ordinary insulator but have conducting states on their […]

Proximity effects or the fragility of electronic ground states in 2D materials

Proximity effects or the fragility of electronic ground states in 2D materials

DIPC Interfaces

By DIPC

Transition metal dichalcogenides (TMDs) are layered compounds which can be thinned down to the single-layer limit. While mechanical exfoliation generates atomically thin TMD flakes possessing an area of a few square microns, chemical and physical methods provide high-quality monolayers on large-area substrates, which are suitable for actual technological applications. TMDs are a class of van […]

A hydrogel matrix as viable solution for the efficient catalytic activation and delivery of cisplatin

A hydrogel matrix as viable solution for the efficient catalytic activation and delivery of cisplatin

ChemistryDIPC PhotochemistryPharmacy

By DIPC

Catalysis-based approaches for the activation of anticancer rely on the use of metal catalysts capable of deprotecting inactive precursors of organic drugs or transforming key biomolecules available in the cellular environment. Nevertheless, the efficiency of most of the schemes described so far is rather low, limiting the benefits of catalytic amplification as a strategy for […]

The orderly growth of 5-armchair graphene nanoribbons

The orderly growth of 5-armchair graphene nanoribbons

ChemistryDIPC Interfaces

By DIPC

The advent of on-surface chemistry under vacuum has vastly increased our capabilities to synthesize carbon nanomaterials with atomic precision. Among the types of target structures that have been synthesized by these means, one-dimensional graphene nanoribbons (GNRs) have probably attracted the most attention, and for a good reason: t he enormous tunability of GNRs’ electronic properties […]

A path to systematically bridge the gap between molecular properties and solid-state material performance

A path to systematically bridge the gap between molecular properties and solid-state material performance

DIPC Computational and Theoretical Chemistry

By DIPC

Cromophores are generally groups of atoms having delocalized electrons. Covalent assemblies of conjugated organic chromophores provide the opportunity to engineer new excited states with novel properties. A team of researchers has now used a novel cage architecture for creating them. The properties of organic electronic materials being determined by the interactions between their conjugated subunits […]

Discovering topological materials from symmetry

Discovering topological materials from symmetry

DIPC Advanced materialsMaterials

By DIPC

Topological materials have special universal properties, which are protected against perturbations. The name comes from the fact that such properties are theoretically described by topology, a branch of mathematics concerned with the properties of geometrical objects that are unchanged by continuous deformations. Topological materials behave like an ordinary insulator in the bulk but have conducting […]

The proper use of deep learning in microscopy image analysis

The proper use of deep learning in microscopy image analysis

Computer scienceDIPC Biochemistry

By DIPC

Microscopy is a leading technology in biological research. Today, a typical microscopy session may generate hundreds to thousands of images, generally requiring computational analysis to extract meaningful results. But a simple analysis is not enough any more. Over the last few years, deep learning (DL) has increasingly become one of the gold standards for high-performance […]

NanoNeuro is a thing

NanoNeuro is a thing

DIPC Neurophysics

By DIPC

Because of their unique physical properties, nanomaterials have intrinsic advantages as biosensors and actuators, and they may be applicable to humans without the need for genetic modifications. It follows, then, that nanoscience could make major methodological contributions to the future of biomedical sciences, especially neuroscience. Meet NanoNeuro , a new field defined as the intersection […]