Results 131 to 140 of about 11,063,462 (189)

Reactive molecular dynamics simulation of the high-temperature pyrolysis of 2,2',2'',4,4',4'',6,6',6''-nonanitro-1,1':3',1''-terphenyl (NONA). [PDF]

RSC Adv, 2020
Song L, Zhao FQ, Xu SY, Ju XH.
europepmc   +1 more source

Discovery of High-Performing Metal-Organic Frameworks for On-Board Methane Storage and Delivery via LNG-ANG Coupling: High-Throughput Screening, Machine Learning, and Experimental Validation. [PDF]

Adv Sci (Weinh), 2022
Kim SY, Han S, Lee S, Kang JH, Yoon S, Park W, Shin MW, Kim J, Chung YG, Bae YS.   +9 more
europepmc   +1 more source

Polynomial Extrapolation Techniques for Accelerating Picard Iterations With Multigrid Solvers for Nonlinear Problems in Isogeometric Analysis

Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.
ABSTRACT Vector extrapolation techniques can be highly effective when used to accelerate the convergence of fixed‐point iterative methods, such as the Picard method. In this study, we investigate the numerical solution of nonlinear problems. Specifically, we address the nonlinear eigenvalue Bratu problem and the Monge–Ampère equation using a multigrid ...
Abdellatif Mouhssine, Ahmed Ratnani, Hassane Sadok   +2 more
wiley   +1 more source

Molecular recognition of a Novel thiazolidinedione-morpholine-based ionic liquid salt by HSA: spectroscopic and molecular dynamics analysis. [PDF]

RSC Adv
Golshanian G, Alavianmehr MM, Soltani Rad MN, Behrouz S, Sorouri M, Mohammad-Aghaie D.   +5 more
europepmc   +1 more source

Omicron variant receptor-binding domain phylogenetics and molecular dynamics. [PDF]

Comput Biol Med, 2022
Kandeel M, El-Deeb W.
europepmc   +1 more source

How Much Physics Should a Neural Network Know? Thermodynamics‐Informed Neural Networks for Rock Constitutive Modeling With Epistemic Uncertainty

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li, Tushar Mittal, Benjamin K. Holtzman, Seth Saltiel   +3 more
wiley   +1 more source

Between love and pain: A qualitative analysis of menstrual distress and romantic relationships

Applied Psychology: Health and Well-Being, Volume 18, Issue 5, October 2026.
Abstract Menstrual distress ‐ the physiological and emotional stress response to menstrual symptoms that are perceived as threatening and difficult to manage ‐ is common among menstruating people and can have a profound negative impact on mental health and well‐being.
Theresa J. S. Wallner, Nora Christlein, Laura M. König   +2 more
wiley   +1 more source

SHARC meets TEQUILA: mixed quantum-classical dynamics on a quantum computer using a hybrid quantum-classical algorithm. [PDF]

Chem Sci
Sangiogo Gil E, Oppel M, Kottmann JS, González L.   +3 more
europepmc   +1 more source

Towards bio-inspired artificial muscle: a mechanism based on electro-osmotic flow simulated using dissipative particle dynamics. [PDF]

Sci Rep, 2021
Zakeri R.
europepmc   +1 more source

A Model of Strategic Sustainable Investment

Mathematical Finance, Volume 36, Issue 4, Page 771-803, October 2026.
ABSTRACT We study a problem of optimal irreversible investment and emission reduction formulated as a nonzero‐sum dynamic game between an investor with environmental preferences and a firm. The game is set in continuous‐time on an infinite‐time horizon.
Tiziano De Angelis, Caio César Graciani Rodrigues, Peter Tankov   +2 more
wiley   +1 more source