Results 191 to 200 of about 518,694 (354)

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Identification of dynamic driving styles based on behavioral primitives. [PDF]

Sci Rep
Zheng X, Kang W, Ren Y, Li X, Xi J.
europepmc   +1 more source

Early lineage segregation between epiblast and primitive endoderm in mouse blastocysts through the Grb2-MAPK pathway.

Developmental Cell, 2006
C. Chazaud, Y. Yamanaka, T. Pawson, J. Rossant   +3 more
semanticscholar   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Whole Genome Data Uncover the Complex Origins of Polish Konik Horses. [PDF]

Animals (Basel)
Musiał AD, Ropka-Molik K, Szmatoła T, Podstawski P, Finno CJ, Bieniek A, Wilczyński J, Stefaniuk-Szmukier M.   +7 more
europepmc   +1 more source

Primitive Passion [PDF]

Journal of Obstetrics and Gynaecology Canada, 2014
Roger, Pierson, Ed, Hughes
openaire   +2 more sources

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Anatomical and developmental insights into the dura mater: Implications for neurosurgery and endovascular therapy. [PDF]

Surg Neurol Int
Ishikawa K, Mizutani K, Toda M.
europepmc   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Exporting ‘Primitive’ Belgian arts: A Challenge for Belgian Symbolism in Britain

, 2014
The paper explores the representation of Belgian painting and literature as Flemish or German ‘Primitive’ revival (or permanence) in the nineteenth century and its particular perceptions in the British context.
Dessy, Clément
core