Results 51 to 60 of about 1,115 (199)

Classification des groupes P-oligomorphes, conjectures de Cameron et Macpherson [PDF]

open access: yes, 2019
This PhD thesis falls under the fields of algebraic combinatorics and group theory. Precisely,it brings a contribution to the domain that studies profiles of oligomorphic permutation groups and their behaviors.The first part of this manuscript introduces
Falque, Justine
core  

Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films

open access: yesAdvanced Functional Materials, EarlyView.
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee   +5 more
wiley   +1 more source

The "Burnside process" converges slowly [PDF]

open access: yes
We consider the problem of sampling "unlabelled structures", i.e., sampling combinatorial structures module a group of symmetries. The main tool which has been used for this sampling problem is Burnside's lemma.
Goldberg, Leslie Ann, Jerrum, Mark
core   +1 more source

An integrated knowledge framework for industrial product-costing. [PDF]

open access: yes, 2009
Product-costing is recognised as being erroneous. This thesis examined the background to this inaccuracy through the undertaking of case studies in a range of industrial contexts, in particular the automotive and aerospace industries.
Mishra, Karen Eileen
core  

Tough Injectable Hydrogels Enabled by Integrating Rigid Homogeneous Framework With Flexible Chains

open access: yesAdvanced Functional Materials, EarlyView.
Tough injectable hydrogels are constructed by integrating a rigid, homogeneous hyaluronic acid framework with flexible long‐chain connectors. This framework–flexible structure simultaneously enhances network uniformity and promotes effective energy dissipation by enlarging plastic deformation zones under compression.
Rijian Song   +10 more
wiley   +1 more source

Interfacial Modulation for High‐Efficiency Large‐Area Organic Photovoltaics and Perovskite‐Organic Tandem Solar Modules

open access: yesAdvanced Functional Materials, EarlyView.
Self‐assembled monolayers (SAMs) are promising hole‐transporting materials for organic photovoltaics (OPVs), but suffer from self‐aggregation and poor large‐area uniformity. We find that interfacial modification using nicotinic hydrazide can eliminate the residual SAM aggregates by forming energetically favorable complexes, yielding uniform SAM.
Seongwon Yoon   +10 more
wiley   +1 more source

Multiplex Modular Nanorobotic Systems with Catalytic Activity under Magnetic Navigation

open access: yesAdvanced Functional Materials, EarlyView.
We present modular nanorobots composed of a magnetic propulsion module and different extension modules carrying functional activities, assembled via DNA base pairing. The system integrates propulsion, optical tracking, enzymatic catalysis, and cell docking in a programmable manner.
Voichita Mihali   +7 more
wiley   +1 more source

Unlocking Multi‐Valley Energy Pockets and Interface‐Induced Phonon Filtering in InSb Thermoelectrics by Reaction‐Driven Interface Engineering

open access: yesAdvanced Functional Materials, EarlyView.
InSb, a narrow‐bandgap semiconductor with high carrier mobility, is promising for thermoelectric energy conversion but suffers from high lattice thermal conductivity and strong bipolar conduction. Here, in situ interface engineering using Co2O3 nanoprecursors forms hierarchical CoSbx/In2O3/CoSb3 heterostructures that enhance phonon scattering and ...
Jiwu Xin   +10 more
wiley   +1 more source

Efficient MCMC and posterior consistency for Bayesian inverse problems [PDF]

open access: yes
Many mathematical models used in science and technology often contain parameters that are not known a priori. In order to match a model to a physical phenomenon, the parameters have to be adapted on the basis of the available data.
Vollmer, Sebastian
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

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