Results 131 to 140 of about 4,451 (294)
International audienceThis paper aims to investigate the peripheral mechanism of taste perception by the use of the grand canonical ensemble in statistical physics.
Knani, S. +2 more
core +1 more source
ABSTRACT Neisseria gonorrhoeae poses an urgent public health challenge due to rapidly increasing antimicrobial resistance and the absence of an effective vaccine. Targeting conserved bacterial pathways involved in essential physiological processes may provide new opportunities for vaccine antigen discovery.
Sinethemba H. Yakobi +1 more
wiley +1 more source
BCS ansatz for superconductivity in the canonical ensemble and the Pauli exclusion principle
International audienceThe usual formulation of the BCS ansatz for superconductivity in the grand canonical ensemble makes the handling of the Pauli exclusion principle between paired electrons straightforward.
Combescot, M. +2 more
core +1 more source
ABSTRACT Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business ...
Carlos de las Heras‐Rosas +3 more
wiley +1 more source
A hierarchical equations of motion formalism for a quantum dissipation system in a grand canonical bath ensemble surrounding is constructed on the basis of the calculus-on-path-integral algorithm, together with the parametrization of arbitrary non ...
YiJing Yan +22 more
core +1 more source
Precision Chemistry for Protein Lysine Modification
Selective modification of lysine residues is challenging due to their similar intrinsic reactivity. Inspired by enzymatic recognition, ligand‐guided electrophiles enable site‐selective labeling and functionalization, while ligand‐guided catalyses achieve regioselective installation of bio‐relevant post‐translational modifications.
Mayu Onoda, Motomu Kanai
wiley +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
Energy Landscapes in Chemical Reactions and Transport
Kinetics/dynamics of chemical reactivity and transport of chemical species in a solid are both determined by the energy landscape in which they take place. Discussing common grounds but also distinct differences may help in advancing the understanding in both fields.
Karl‐Michael Weitzel
wiley +1 more source
ABSTRACT The properties of plasmas in the low‐density limit are described by virial expansions. Analytical expressions are known for the lowest virial coefficients from Green's function approaches. Recently, accurate path‐integral Monte Carlo (PIMC) simulations were performed for the hydrogen plasma at low densities by Filinov and Bonitz (Phys. Rev.
Gerd Röpke +3 more
wiley +1 more source
ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann +2 more
wiley +1 more source

