Framework for efficient synthesis of spatially embedded morphologies

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Accurately assessing the interfacial composition and reactivity of (bio)polymers under controlled but environmentally relevant conditions remains challenging. This study explores the evolution of surface functionalities of novel polyesters Poly(Butylene Xy ...

A complete series of CsPb(ClxBr1-x)3 mixed-halide perovskites with x = 0-1 in small steps is reported, and their structural and optical properties characterised. A comparison of synthetic approaches shows that mechanosynthesis yields the most robust data a ...

Despite the growing interest in emotions in engineering education, empirical research on incorporating them into engineering ethics education is limited. Therefore, we designed this experimental study to assess how different methods for integrating compass ...

We present a combination technique based on mixed differences of both spatial approximations and quadrature formulae for the stochastic variables to solve efficiently a class of optimal control problems (OCPs) constrained by random partial differential equ ...

The proliferation of microscopy methods for live-cell imaging offers many new possibilities for users but can also be challenging to navigate. The prevailing challenge in live-cell fluorescence microscopy is capturing intra-cellular dynamics while preservi ...

Being able to work effectively in a team is a vital professional skill but how do students in different disciplines, engineering and hospitality, display their emotions when working together? We investigated their self-reported use of emotional labour stra ...

Data-driven approaches have been applied to reduce the cost of accurate computational studies on materials, by using only a small number of expensive reference electronic structure calculations for a representative subset of the materials space, and using ...

MiMiC is a framework for performing multiscale simulations in which loosely coupled external programs describe individual subsystems at different resolutions and levels of theory. To make it highly efficient and flexible, we adopt an interoperable approach ...

Time-domain solutions of Maxwell’s equations in homogeneous and isotropic media are paramount to studying transient or broadband phenomena. However, analytical solutions are generally unavailable for practical applications, while numerical solutions are co ...

The design and discovery of potential novel materials is critical for the advancement of climate change mitigation technologies. In this respect, metal-organic frameworks (MOFs) have received considerable attention over the last two decades. The combinatio ...

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Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, improving computational strategies for image segmentation and s ...

Geometric properties of lattice quantum gravity in two dimensions are studied numerically via Monte Carlo on Euclidean Dynamical Triangulations. A new computational method is proposed to simulate gravity coupled with fermions, which allows the study of int ...

Excitons play an essential role in the optical response of two-dimensional materials. These are bound states showing up in the band gaps of many-body systems and are conceived as quasiparticles formed by an electron and a hole. By performing real-time simu ...

The rapid development of wearable biomedical systems now enables real-time monitoring of electroencephalography (EEG) signals. Acquisition of these signals relies on electrodes. These systems must meet the design challenge of selecting an optimal set of el ...

Dynamical system (DS) based motion planning offers collision-free motion, with closed-loop reactivity thanks to their analytical expression. It ensures that obstacles are not penetrated by reshaping a nominal DS through matrix modulation, which is construc ...

In light of the challenges posed by climate change and the goals of the Paris Agreement, electricity generation is shifting to a more renewable and decentralized pattern, while the operation of systems like buildings is increasingly electrified. This calls ...

Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single architecture that leverages the experience and design preferences of medicinal chemists. However, designing mach ...

Mechanochemistry harnesses mechanical force to facilitate chemical reactions. Traditionally, the field of polymer mechanochemistry has used methods to activate chemical bonds, which use forces that are larger than those that are required to break a covalen ...

The vast amount of computational studies on electrical conduction in solid-state electrolytes is not mirrored by comparable efforts addressing thermal conduction, which has been scarcely investigated despite its relevance to thermal management and (over)he ...

Framework for efficient synthesis of spatially embedded morphologies

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Characterization of Biobased Polymers at the Gas-Solid Interface─Analysis of Surface and Bulk Properties during Artificial Degradation

An experimental data library for the full CsPb(ClxBr1-x)3 compositional series

The impact of different methods of increasing the intensity of compassion in engineering ethics cases

A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Live-cell imaging powered by computation

“But of course i’m going to look happy” or “He needed to know I was angry”? Comparing use of emotional labour in teamwork in engineering and hospitality students

Efficient and insightful descriptors for representing molecular and material space

MiMiC: A high-performance framework for multiscale molecular dynamics simulations

The time-domain Cartesian multipole expansion of electromagnetic fields

A diversity-driven discovery of potential nanoporous materials for energy-related applications

Optimality principles for the analysis of biological processes across scales: From enzyme kinetics to microbiome dynamics

Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets

Hausdorff dimension of fermions on a random lattice

Exciton migration in two-dimensional materials

FETCH: A Fast and Efficient Technique for Channel Selection in EEG Wearable Systems

Reactive collision-free motion generation in joint space via dynamical systems and sampling-based MPC

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Machine learning-aided generative molecular design

Soft Mechanochemistry of Disulfide-Crosslinked Polymer Networks

Thermal conductivity of Li 3 PS 4 solid electrolytes with ab initio accuracy