Results 51 to 60 of about 1,013,754 (226)

Dielectric Permittivity Tensor of Muscovite for Next Generation All Van Der Waals Broadband Photonic Components

Advanced Optical Materials, EarlyView.
Low‐index and low‐loss vdW muscovite represents an emerging robust dielectric platform for the creation of next‐generation all‐vdW nanophotonic architectures. Its utilization as a low‐index building‐block in all‐vdW multilayers enables extreme optical contrast when paired with MoS2, paving the way to the realization of few‐layer ultrathin DBS ...
Meri H. Hayrapetyan, Maksim L. Sargsyan, Davit A. Karakhanyan, Ani P. Khachatryan, Maria A. Levonyan, Dmitrii Litvinov, Maciej Koperski, Artsruni V. Margaryan, Makars Šiškins, Konstantin S. Novoselov, Davit A. Ghazaryan   +10 more
wiley   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Synthesis of Discipline-Based Education Research in Physics.

, 2014
information in analogical transfer, Psychol. Bull. 115, 381 (1994). [134] S. Y. Lin and C. Singh, Using isomorphic problems to learn introductory physics, Phys. Rev. ST Phys. Educ. Res. 7, 020104 (2011). [135] D. Hammer, A. Elby, R. Scherr, and E.
Jennifer Docktor, J. Mestre
semanticscholar   +1 more source

Remote Magnetomechanical Neuromodulation Uncovers Therapeutic Mechanisms for Alleviating Parkinsonian Symptoms in Freely Moving Mice

Advanced Science, EarlyView.
Magnetomechanical neuromodulation using magnetic nanodiscs enables remote activation of neurons. In a hemiparkinsonian mouse model, alternating magnetic fields actuate the nanodiscs to generate torque that opens mechanosensitive ion channels within the subthalamic nucleus, thereby modulating basal ganglia motor circuitry.
Anouk Wolters, Lorenzo Signorelli, Christian Herff, Sophia Gimple, Renzo Riemens, Gunter Kenis, Kim Rijkers, Hamed Shabani, Jyh‐Jang Sun, Yasin Temel, Hans Clusmann, Danijela Gregurec, Sarah‐Anna Hescham   +12 more
wiley   +1 more source

Development Of Physics Learning Media PHY-ART (Physics With Augmented Reality Technology) To Empower Student’s Laboratory Skills

JIPF (Jurnal Ilmu Pendidikan Fisika), 2023
The world of education requires newest learning media when technology is growing. The development of Physics learning media with Augmented Reality technology is a solution to bring forward education. The development of Physics learning media PHY-ART aims to describe the development of Augmented Reality technology for physics learning media, and find ...
Batulieu Muhammad Yoggi Prastya, Sri Budiawanti, Daru Wahyuningsih   +2 more
openaire   +1 more source

Learning Joint Reconstruction of Hands and Manipulated Objects [PDF]

Computer Vision and Pattern Recognition, 2019
Estimating hand-object manipulations is essential for in- terpreting and imitating human actions. Previous work has made significant progress towards reconstruction of hand poses and object shapes in isolation.
Yana Hasson, G. Varol, Dimitrios Tzionas, I. Kalevatykh, Michael J. Black, I. Laptev, Cordelia Schmid   +6 more
semanticscholar   +1 more source

Bridging Chemical Literature and Molecular Graphs: LLM‐Augmented Enantioselectivity Prediction for Iridium‐Catalyzed Asymmetric C–H Borylation

Advanced Science, EarlyView.
A machine‐learning framework for asymmetric C–H borylation bridges multi‐entity 3D molecular graphs and chemical literature. Atom‐resolved mechanistic annotations extracted by large language models augment three‐component graph encoding of catalyst, substrate, and product. The model predicts enantioselectivity with high accuracy on unseen scaffolds and
Zhe Wang, Baohua Zhang, Yi Isaac Yang, Yuan Yao, Yinwu Li   +4 more
wiley   +1 more source

Physics Without Physics [PDF]

, 2017
David Finkelstein was very fond of the new information-theoretic paradigm of physics advocated by John Archibald Wheeler and Richard Feynman. Only recently, however, the paradigm has concretely shown its full power, with the derivation of quantum theory (
G. D'Ariano
semanticscholar   +1 more source

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

Advanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui, Yunyi Wang, Teng Zhang, Yang Chen, Min Pan   +4 more
wiley   +1 more source

Open problems in mathematical physics [PDF]

, 2017
We present a list of open questions in mathematical physics. After a historical introduction, a number of problems in a variety of different fields are discussed, with the intention of giving an overall impression of the current status of mathematical ...
A. Coley
semanticscholar   +1 more source