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Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Thermomechanical load in a nonlocal rotating magneto-thermoelastic orthotropic material with Green Naghdi-III model. [PDF]

Sci Rep
Salah DM, Abd-Alla AM, El-Kabeir SMM, Bayones FS.   +3 more
europepmc   +1 more source

Energy additivity as a requirement for universal quantum thermodynamical frameworks. [PDF]

Sci Rep
Neves LR, Brito F.
europepmc   +1 more source

Energy constraint on human health. [PDF]

Trends Endocrinol Metab
Behnke A, Shaulson E, Pontzer H, Kempes CP, Picard M.   +4 more
europepmc   +1 more source

Theoretical Considerations for Patient-Specific Modeling Based on Observable State Variables. [PDF]

J Biomech Eng
Ateshian GA, Deiters S, Weiss JA.
europepmc   +1 more source

A Pedagogical Reinforcement of the Ideal (Hard Sphere) Gas Using a Lattice Model: From Quantized Volume to Mechanical Equilibrium. [PDF]

Entropy (Basel)
de Miguel R.
europepmc   +1 more source

Entropy Governs the Structure and Reactivity of Water Dissociation Under Electric Fields. [PDF]

J Am Chem Soc
Litman Y, Michaelides A.
europepmc   +1 more source

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Current Trends in Finite‐Time Thermodynamics

Angewandte Chemie - International Edition, 2011
AbstractThe cornerstone of finite‐time thermodynamics is all about the price of haste and how to minimize it. Reversible processes may be ultimately efficient, but they are unrealistically slow. In all situations—chemical, mechanical, economical—we pay extra to get the job done quickly. Finite‐time thermodynamics can be used to develop methods to limit
Bjarne Andresen
exaly   +4 more sources