Results 161 to 170 of about 75,077 (201)

Melting of nonreciprocal solids: How dislocations propel and fission in flowing crystals. [PDF]

Proc Natl Acad Sci U S A
Guillet S, Poncet A, Le Blay M, Irvine WTM, Vitelli V, Bartolo D.   +5 more
europepmc   +1 more source

Probing the Influence of Sulfur–Aromatic Interactions on the Electronic Structure of Gas‐Phase Peptides

Chemistry – A European Journal, EarlyView.
Just as fingerprints reveal identity, spectroscopic fingerprints reveal molecular secrets. In this article, we show parts of the unique fingerprint of the sulfur–aromatic interaction. By measuring how this force alters the electronic structure of gas‐phase peptides, we provide a fundamental understanding of interactions that give insights into the ...
Laura Pille, Carlos Ortiz‐Mahecha, Bart Oostenrijk, Juliette Leroux, Marion Girod, Konstantin Hirsch, Luke MacAleese, Robert Horst Meißner, Debora Scuderi, Isaak Unger, Vicente Zamudio‐Bayer, Sadia Bari, Lucas Schwob   +12 more
wiley   +1 more source

Role of kinematic constraints in the time reversal symmetry breaking of a model active matter. [PDF]

PNAS Nexus
Das S, Ghosh S, Sadhu T, Klamser JU.
europepmc   +1 more source

Synthesis, characterization, and performance of x_MoO3/Z‐22 and x_MoO3/MMP catalysts for biodiesel production

The Canadian Journal of Chemical Engineering, EarlyView.
Methyl transesterification of soybean oil using heterogeneous catalysts for biodiesel production. Abstract The growing global demand for renewable fuels has driven the search for efficient catalysts in biodiesel production. This study presents the synthesis and characterization of x_MoO3/Z‐22 and x_MoO3/MMP heterogeneous catalysts, and evaluates the ...
André Miranda da Silva, Vitória de Andrade Freire, José Jailson Nicácio Alves, Romualdo Rodrigues Menezes, Bianca Viana de Sousa Barbosa   +4 more
wiley   +1 more source

Lane formation in criss-crossing crowds. [PDF]

Proc Natl Acad Sci U S A
Kroy K.
europepmc   +1 more source

Design and implementation of a 3D‐printed modular distillation tower for experimental teaching in chemical engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Several authors have reported the disconnection between the skills, abilities, and attitudes of graduates from STEM careers with the current needs of the labour market. In science and engineering fields, research has found the need for interdisciplinary approaches that encourage meaningful learning.
Úrsula Manríquez‐Tolsá, Carlos Zaid Bustamante‐Pérez, José Manuel García‐Anaya, Ángel Tlacaelel Ortiz‐Manzano, Roeb García‐Arrazola, Eva Patricia Bermúdez‐García, Diana Iruretagoyena Ferrer, Miguel Ángel Pimentel‐Alarcón   +7 more
wiley   +1 more source

Discovering hidden satellites in Mn Kα using novel high-accuracy fluorescence, with PCA revealing evolution of quantum processes. [PDF]

Sci Rep
Rijal R, Stephens JA, Tran NTT, Sier D, Dean JW, Nguyen TVB, Kirk T, Tran CQ, Diaz-Moreno S, Chantler CT.   +9 more
europepmc   +1 more source

WSPLK: A systematic approach to the thermodynamic characterization of light and heavy Mexican crude oil

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract A streamlined characterization framework (WSPLK) is presented for modelling complex reservoir fluids using cubic equations of state. The key methodological contribution is the introduction of a single global parameter ε directly into Pedersen's boiling‐point correlation, restoring pure‐component calibration and eliminating the need for ...
Angélica Merlo‐Robredo, Heber Barragán‐Mayet, Lourdes Mayet‐Cruz, José Fernando Barragán‐Aroche   +3 more
wiley   +1 more source

Self-normal and biorthogonal dynamical quantum phase transitions in non-Hermitian quantum walks. [PDF]

Light Sci Appl
Zhang H, Wang K, Xiao L, Xue P.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
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, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source