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Related publications (30)

Tuning the reactivity of uranium towards small molecules in multimetallic complexes

Nadir Jori

One of the main goals of organometallic chemistry in the last decades was the activation of small molecule in mild reaction conditions. Even though multiple examples of catalytic cycles able to produce fine chemicals from cheap and abundant sources using t ...

EPFL2023

Probing proton diffusion as a guide to environmental stability in powder-engineered FAPbI3 and CsFAPbI3 perovskites

Mohammad Khaja Nazeeruddin, Jianxing Xia

Formamidinium lead iodide-based solar cells show promising device reliability. The grain imperfection can be further suppressed by developing powder methodology. The water uptake capability is critical for the stability of a-formamidinium lead triiodide (F ...

ELSEVIER2023

Liposomes and Lipid Droplets Display a Reversal of Charge-Induced Hydration Asymmetry

Sylvie Roke, Nathan Dupertuis, Saranya Pullanchery Sankara Narayanan

The unique properties of water are critical for life. Water molecules have been reported to hydrate cations and anions asymmetrically in bulk water, being a key element in the balance of biochemical interactions. We show here that this behavior extends to ...

Amer Chemical Soc2023

Recombinant Full-Length TDP-43 Oligomers Retain Their Ability to Bind RNAs, Are Not Toxic, and Do Not Seed TDP-43 Aggregation in Vitro

Hilal Lashuel, Yllza Jasiqi, Lixin Yang

TAR DNA-binding protein with 43 kD (TDP-43) is a partially disordered protein that misfolds and accumulates in the brains of patients affected by several neurodegenerative diseases. TDP-43 oligomers have been reported to form due to aberrant misfolding or ...

Amer Chemical Soc2023

koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals

Nicola Marzari, Nicola Colonna, Edward Baxter Linscott, Giovanni Borghi, Ngoc Linh Nguyen, Riccardo De Gennaro, Andrea Ferretti

Over the past decade we have developed Koopmans functionals, a computationally efficient approach for predicting spectral properties with an orbital-density-dependent functional framework. These functionals impose a generalized piecewise linearity conditio ...

Amer Chemical Soc2023

Computational Studies for the Design of Metalloenzyme Mimics

Guido Frisari

At present, there is no general standard automated method for engineering metalloenzymes, industrially-relevant systems able to catalyze environmentally friendly reactions. One of the most studied natural metalloenzymes is the second isoform of human carbo ...

EPFL2023

Nanopore-based scanning system and method

Aleksandra Radenovic, Georg Fantner, Vytautas Navikas, Samuel Mendes Leitão

Nanopore-based scanning system including a probe structure comprising a nanopore; suction means configured to draw an end of a (bio)molecule inside the nanopore and inside the probe structure, single or multiple times; and displacement means configured to ...

2023

Study of backward Brillouin scattering in gas-filled anti-resonant fibers

Luc Thévenaz, Malak Mohamed Hossameldeen Omar Mohamed Galal, Li Zhang

Brillouin scattering in gas shows unmatched gain properties in hollow-core optical fibers filled at high pressure. Here, the gain characteristics are studied for two common gases, namely, N2 and CO2, which show distinct features and are compared to expecte ...

2023

The role of plasma-atom and molecule interactions on power & particle balance during detachment on the MAST Upgrade Super-X divertor

Christian Gabriel Theiler, Kevin Henricus Annemarie Verhaegh

This paper shows first quantitative analysis of the detachment processes in the MAST Upgrade Super-X divertor (SXD). We identify an unprecedented impact of plasma-molecular interactions involving molecular ions (likely D2+ ), resulting in strong ion sinks ...

IOP Publishing Ltd2023

Artificial intelligence for natural product drug discovery

Philippe Schwaller, Florian Huber, Albert Hofstetter, Michael Alexander Skinnider

Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to e ...

Nature Portfolio2023

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