Results 51 to 60 of about 223,006 (297)

Machine Learning Discovery of Record‐Low Lattice Thermal Conductivity in Double Perovskites

open access: yesAdvanced Science, EarlyView.
 A deep learning interatomic potential is introduced to predict forces for computing phonon properties and thermal transport behavior in double perovskites. Screening 9,709 compounds identifies 1,597 stable materials, and Boltzmann transport calculations including both three and four‐phonon scattering suggests a record‐low lattice thermal conductivity ...
Md Zaibul Anam   +3 more
wiley   +1 more source

MACE 2.0 Reference Manual and Guide

open access: yes, 2001
MACE is a program that searches for finite models of first-order statements. The statement to be modeled is first translated to clauses, then to relational clauses; finally for the given domain size, the ground instances are constructed.
McCune, William
core   +2 more sources

Stroke following percutaneous coronary intervention : type-specific incidence, outcomes and determinants seen by the British Cardiovascular Intervention Society 2007-12 [PDF]

open access: yes, 2016
Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015.
Berry, Colin   +11 more
core   +1 more source

Role of Wadsley Defects and Cation Disorder to Enhance MoNb12O33 Diffusion

open access: yesAdvanced Energy Materials, EarlyView.
Wadsley‐Roth niobates are high‐rate capable and durable anode materials for lithium‐ion batteries. Defect‐tailoring of MoNb12O33 is shown to substantially enhance lithium diffusion. Computational models were used to separate the effects of cation disorder and Wadsley defects to identify that both led to the occupation of fast diffusion sites at lower ...
CJ Sturgill   +10 more
wiley   +1 more source

Metabolic plasticity can amplify ecosystem responses to global warming

open access: yesNature Communications, 2022
Organisms can alter their physiological response to warming. Here, the authors show that the ability to raise metabolic rate following exposure to warming is inverse to body size and provide a mathematical model which estimates that metabolic plasticity ...
Rebecca L. Kordas   +4 more
doaj   +1 more source

The Identification and Cytotoxic Evaluation of Nutmeg (Myristica fragrans Houtt.) and Its Substituents

open access: yesFoods, 2023
The aril and seed of nutmeg, Myristica fragrans Houtt. (Myristicaceae), hold significant value in various industries globally. Our preliminary research found two morphological variations: a globose shape and an oval shape.
Suthiwat Khamnuan   +9 more
doaj   +1 more source

Re-imaging the Environment [PDF]

open access: yes, 2013
This paper represents a study of selected visualisation and investigative methods that facilitate the exploration and expression of human emotions and perceptions within real world environments during the design development stages of a project ...
Mace, Valerie
core  

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

open access: yesAdvanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob   +2 more
wiley   +1 more source

Cardiac safety of tiotropium in patients with cardiac events: a retrospective analysis of the UPLIFT® trial. [PDF]

open access: yes, 2015
BackgroundTiotropium is an anticholinergic bronchodilator for symptom relief and reducing exacerbations with an established safety profile in patients with chronic obstructive pulmonary disease (COPD).
Decramer, Marc   +3 more
core   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

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