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Magnesium atoms embedded in superfluid helium nanodroplets have been identified to arrange themselves in a metastable network, refered to as foam. In order to investigate the ionization dynamics of this unique structure with respect to a…

Atomic and Molecular Clusters · Physics 2015-06-12 S. Göde , R. Irsig , J. Tiggesbäumker , K. -H. Meiwes-Broer

Molecules show a much increased multiple ionization rate in a strong laser field as compared to atoms of similar ionization energy. A widely accepted model attributes this to the action of the joint fields of the adjacent ionic core and the…

Atomic Physics · Physics 2013-05-16 J. Wu , M. Meckel , L. Ph. H. Schmidt , M. Kunitski , S. Voss , H. Sann , H. Kim , T. Jahnke , A. Czasch , R. Dörner

Molten salts are crucial for clean energy applications, yet exploring their thermophysical properties across diverse chemical space remains challenging. We present the development of a machine learning interatomic potential (MLIP) called…

Materials Science · Physics 2024-12-30 Chen Shen , Siamak Attarian , Yixuan Zhang , Hongbin Zhang , Mark Asta , Izabela Szlufarska , Dane Morgan

We have observed the signatures of valence electron rearrangement in photoexcited ammonia using ultrafast hard X-ray scattering. Time-resolved X-ray scattering is a powerful tool for imaging structural dynamics in molecules because of the…

Cells use biochemical networks to translate environmental information into intracellular responses. These responses can be highly dynamic, but how the information is encoded in these dynamics remains poorly understood. Here we investigate…

Cell Behavior · Quantitative Biology 2017-04-05 Garrett D. Potter , Tommy A. Byrd , Andrew Mugler , Bo Sun

Chest X-ray imaging is a critical diagnostic tool for identifying pulmonary diseases. However, manual interpretation of these images is time-consuming and error-prone. Automated systems utilizing convolutional neural networks (CNNs) have…

Image and Video Processing · Electrical Eng. & Systems 2025-11-25 Saurabh Agarwal , K. V. Arya , Yogesh Kumar Meena

Magnesium-ion batteries hold promise as future energy storage solution, yet current Mg cathodes are challenged by low voltage and specific capacity. Herein, we present an AI-driven workflow for discovering high-performance Mg cathode…

Materials Science · Physics 2025-06-11 Wenjie Chen , Zichang Lin , Xinxin Zhang , Hao Zhou , Yuegang Zhang

Recent thermodynamic measurements on two-dimensional (2D) electron systems have found diverging behavior in the magnetic susceptibility and appearance of ferromagnetism with decreasing electron density. The critical densities for these…

Strongly Correlated Electrons · Physics 2007-05-23 S. M. Fazeli , K. Esfarjani , B. Tanatar

Observing the individual building blocks of matter is one of the primary goals of microscopy. The invention of the scanning tunneling microscope [1] revolutionized experimental surface science in that atomic-scale features on a solid-state…

Materials Science · Physics 2008-08-04 Jannik C. Meyer , C. O. Girit , M. F. Crommie , A. Zettl

Minerals play a critical role in the advanced energy technologies necessary for decarbonization, but characterizing mineral deposits hidden underground remains costly and challenging. Inspired by recent progress in generative modeling, we…

Machine Learning · Statistics 2025-11-14 Sujay Nair , Evan Coleman , Sherrie Wang , Elsa Olivetti

Nano-machines circulating inside the human body, collecting data on tissue conditions, represent a vital part of next-generation medical diagnostic systems. However, for these devices to operate effectively, they need to relay not only…

Information Retrieval · Computer Science 2025-09-16 Krzysztof Skos , Albert Diez Comas , Josep Miquel Jornet , Pawel Kulakowski

This article presents the design and assembly of a novel magnetically actuated endoscopic laser scanner device. The device is designed to perform 2D position control and high speed scanning of a fiber-based laser for operation in narrow…

Robotics · Computer Science 2017-11-22 Alperen Acemoglu , Nikhil Deshpande , Leonardo S. Mattos

We investigate molecular dynamics of multiple ionization in N2 through multiple core-level photoabsorption and subsequent Auger decay processes induced by intense, short X-ray free electron laser pulses. The timing dynamics of the…

Traditional cellular force-sensing techniques, such as traction force microscopy (TFM), are predominantly limited to measuring linear tractions, overlooking and technically unable to capture the nanoscale torsional forces that are critical…

Via a concomitant communication (the first part of my work), I have conclusively debunked the prevailing explanations for mitochondrial oxidative phosphorylation and established the need for a novel rationale to account for the reaction…

Subcellular Processes · Quantitative Biology 2018-12-21 Kelath Murali Manoj

Magnesium intercalated 'quasi-freestanding' bilayer graphene on 6H-SiC(0001) (Mg-QFSBLG) has many favorable properties (e.g., highly n-type doped, relatively stable in ambient conditions). However, intercalation of Mg underneath monolayer…

We introduce a simple procedure of multivariate signal analysis to uncover the functional connectivity among cells composing a living tissue and describe how to apply it for extracting insight on the effect of drugs in the tissue. The…

Biological Physics · Physics 2014-06-11 Marcelo Pires , Frank Raischel , Sandra Vaz , Andreia Cruz-Silva , Ana Sebastião , Pedro G. Lind

We demonstrate the application of Atomic Force Microscopy (AFM) based optical force microscopy to map the optical near-fields with nanometer resolution, limited only by the AFM probe geometry. We map the electric field distributions of…

Material indentation studies, in which a probe is brought into controlled physical contact with an experimental sample, have long been a primary means by which scientists characterize the mechanical properties of materials. More recently,…

Applications · Statistics 2011-10-03 Daniel Rudoy , Shelten G. Yuen , Robert D. Howe , Patrick J. Wolfe

We develop a general analytical and numerical framework for estimating intra- and extra-neurite water fractions and diffusion coefficients, as well as neurite orientational dispersion, in each imaging voxel. By employing a set of rotational…

Biological Physics · Physics 2018-04-10 Dmitry S. Novikov , Jelle Veraart , Ileana O. Jelescu , Els Fieremans