Results 221 to 230 of about 142,725 (269)

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

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

Optimal transitions between nonequilibrium steady states. [PDF]

Proc Natl Acad Sci U S A
Monter S, Loos SAM, Bechinger C.
europepmc   +1 more source

Anharmonic effects on the dynamical stability of Ce-Co-Cu intermetallic ternary compounds. [PDF]

RSC Adv
Tee WS, Xia W, Flint R, Wang CZ.
europepmc   +1 more source

Mathematical modeling of the frozen zone dynamics: Towards using thermal imagers in cryotherapy. [PDF]

PLoS One
Ivakhnenko OV, Todrin OF, Globa VY, Chyzh MO, Kovalov GO, Shevchenko SN.   +5 more
europepmc   +1 more source

Unifying Kibble-Zurek Mechanism in Weakly Driven Processes. [PDF]

Entropy (Basel)
Nazé P.
europepmc   +1 more source

Methodological Frameworks for Computational Electrocatalysis: From Theory to Practice. [PDF]

Small Methods
Re Fiorentin M, Bianchi MG, Christiansen MAH, Ciotti A, Risplendi F, Wang W, Jónsson EÖ, Jónsson H, Cicero G.   +8 more
europepmc   +1 more source

A Physical Framework for Algorithmic Entropy. [PDF]

Entropy (Basel)
Edmonds J.
europepmc   +1 more source