Results 61 to 70 of about 92,046 (236)

Statistical mechanics approach to some problems in conformal geometry

, 2000
A weak law of large numbers is established for a sequence of systems of N classical point particles with logarithmic pair potential in $\bbR^n$, or $\bbS^n$, $n\in \bbN$, which are distributed according to the configurational microcanonical measure ...
Aubin, Aviles, Beckner, Billingsley, Branson, Branson, Branson, Caglioti, Caglioti, Campbell, Carlen, Chang, Chang, Chang, Chang, Chanillo, Chanillo, Chen, Chen, Cheng, Cheng, Chou, de Finetti, Diaconis, Dynkin, Eyink, Fröhlich, Han, Hewitt, Joyce, Kazdan, Kida, Kiessling, Kiessling, Kiessling, Kiessling, Lin, Liouville, Lundgren, Marchioro, McOwen, Messer, Michael K.-H. Kiessling, Montgomery, Montgomery, Moser, Moser, Ni, O'Neil, Onofri, Onsager, Osserman, Poincaré, Pointin, Ramsey, Saff, Sattinger, Struik, Trudinger   +58 more
core   +2 more sources

Mitigation of Cracks in High‐Performance Nickel‐Based Superalloys in Powder Bed Fusion Laser Beam of Metals Using a Metal Matrix Composite Approach

Advanced Engineering Materials, EarlyView.
High‐performance nickel‐based superalloys are often not processible in additive manufacturing (AM) due to hot cracking. The findings in this manuscript propose an efficient method to mitigate cracking and enhance mechanical properties of these alloys by producing a metal matrix composite, contributing to the material and process perspective of the AM ...
Klaus Büßenschütt, Maël Pontoreau, Christian Haase, Johannes‐Henrich Schleifenbaum   +3 more
wiley   +1 more source

Electronic Control System for Optimized Resonance Operation of Dielectric Elastomer Pumps through Self‐Sensing

Advanced Engineering Materials, EarlyView.
A powerful electronic control system enables a dielectric elastomer pump to operate at resonance, matching conventional pump performance. Using self‐sensing to reconstruct load pressure dynamically, the adaptive control adjusts resonance frequency accordingly.
Matthias Baltes, Benedikt Holz, Daniel Bruch, Paul Motzki   +3 more
wiley   +1 more source

Engineering the Hierarchical Porosity of Granular Hydrogel Scaffolds Using Porous Microgels to Improve Cell Recruitment and Tissue Integration

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
By fabricating and covalently assembling gelatin methacryloyl (GelMA) porous microgels, a new class of granular hydrogel scaffolds with hierarchical porosity is developed. These scaffolds have a significantly higher void fraction than their counterparts made up of nonporous microgels, enhancing cell recruitment and tissue integration. This research may
Alexander Kedzierski, Sina Kheirabadi, Arian Jaberi, Zaman Ataie, Catherine L. Mojazza, Marisa L. Williamson, Anton M. Hjaltason, Aneesh Risbud, Yuanhui Xiang, Amir Sheikhi   +9 more
wiley   +1 more source

Wearable Haptic Feedback Interfaces for Augmenting Human Touch

Advanced Functional Materials, EarlyView.
The wearable haptic feedback interfaces enhance user experience in gaming, social media, biomedical instrumentation, and robotics by generating tactile sensations. This review discusses and categorizes current haptic feedback interfaces into force, thermal, and electrotactile stimulation‐based haptic feedback interfaces, elucidating their current ...
Shubham Patel, Zhoulyu Rao, Maggie Yang, Cunjiang Yu   +3 more
wiley   +1 more source

Bi‐Directional Assembly of Boron Nitride µ‐Platelets by Micro‐Molding for Advanced Thermal Interface Materials

Advanced Functional Materials, EarlyView.
Bi‐directionally assembled BN µ‐platelets in micropatterns formed by a micro‐molding method for thermal interface materials are demonstrated. The BN µ‐platelets are vertically aligned selectively, while compressed regions without patterns accommodate horizontally assembled BN µ‐platelets. Through anisotropic orientation, high thermal conductivities for
Young Gil Kim, In‐Young Jung, Yujin Mun, Joo Hwan Shin, Sang Gil Lee, Gyan Raj Koirala, Taewoo Kang, Jehyung Ok, Hyesu Choi, Jiwon Kim, Youngkwang Shin, Seok Joon Kwon, Tae‐il Kim   +12 more
wiley   +1 more source

A hydrodynamical homotopy co-momentum map and a multisymplectic interpretation of higher order linking numbers

, 2019
In this article a homotopy co-momentum map (\`a la Callies-Fr\'egier-Rogers-Zambon) trangressing to the standard hydrodynamical co-momentum map of Arnol'd, Marsden and Weinstein and others is constructed and then generalized to a special class of ...
Miti, Antonio Michele, Spera, Mauro
core  

Optimizing Angiopep‐2 Density on Polymeric Nanoparticles for Enhanced Blood–Brain Barrier Penetration and Glioblastoma Targeting: Insights From In Vitro and In Vivo Experiments

Advanced Functional Materials, EarlyView.
The Angiopep‐2 peptide density on polymeric nanoparticles significantly impacts blood–brain barrier (BBB) penetration. This study explores this nuanced relationship using various in vitro models and in vivo assays, revealing that dynamic models better predict BBB penetration.
Weisen Zhang, Ahmed Refaat, Haoqin Li, Douer Zhu, Ziqiu Tong, Joseph Anthony Nicolazzo, Bo Peng, Hua Bai, Lars Esser, Nicolas Hans Voelcker   +9 more
wiley   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source