25 papers · ranked by Valyu relevance
Nicole Zatorski, Yifei Sun, Abdulkadir Elmas, Christian Dallago + 6 more
Structural features of proteins capture underlying information about protein evolution and function, which enhances the analysis of proteomic and transcriptomic data. Here we develop Structural Analysis of Gene and protein Expression Signatures (SAGES), a method that describes expression data using features calculated…
Cem Ünsalan
Features Authors: ['Cem Ünsalan'] Surface quality is an extremely important issue for wood products in the market. Although quality inspection can be made by a human expert while manufacturing, this operation is prone to errors. One possible solution may be using standard machine vision techniques to automatically…
Hasan M. Sayeed, Sterling G. Baird, Taylor D. Sparks
Capturing structure-property relationships of materials for property prediction using machine learning requires the representation or featurization of the structural aspects of materials at different levels, including atomic, crystal, and microscales. While crystal structure-based modeling techniques are effective for…
Jake Silberg, Elana Simon, James Zou
Protein Language Models (PLMs) create high-dimensional embeddings that can be transformed into interpretable sparse features using Sparse Autoencoders (SAEs), where each feature activates on specific protein elements or patterns. However, scalably identifying which features are cohesive and reliable enough for protein…
Jose Cleydson F. Silva, Layla Schuster, Nick Sexson, Melissa Erdem + 4 more
Characterizing protein families’ structural and functional diversity is essential for understanding their biological roles. Traditional analyses often focus on primary and secondary structures, which may not fully capture complex protein interactions. Here we introduce InteracTor, a novel toolkit that extracts…
Authors not listed
Traditional and non-classical machine learning models for solid-state structure prediction have predominantly relied on compositional features (derived from properties of constituent elements) to predict the existence of structure and its properties. However, the lack of structural information can be a source of…
Authors not listed
When producing plant-protein-based meat analogues via high moisture extrusion (HME), the structure of extrudates is determined by complex interactions between ingredient composition and processing conditions. To facilitate consumers in their transition towards a diet higher in plant-based proteins, the food industry…
Paweł Pięta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli + 1 more
'Siavash Arjomand Bigdeli' 'Anders Nymark Christensen'] ABSTRACT The structure tensor method is often used for 2D and 3D analysis of imaged structures, but its results are in many cases very dependent on the user's choice of method parameters. We simplify this parameter choice in first order structure tensor…
Enrique R. Sebastian, Julio Esparza, Liset M de la Prida
Identifying the structured distribution (or lack thereof) of a given feature over a point cloud is a general research question. In the neuroscience field, this problem arises while investigating representations over neural manifolds (e.g., spatial coding), in the analysis of neurophysiological signals (e.g., auditory…
Ruizhi Zhang, Sohan Seth, James Cumby
Determining how similar two materials are in terms of both atomic composition and crystallographic structure remains a challenge, the solution of which would enable generalised machine learning using crystal structure data. We demonstrate a new method of describing crystal structures based on interatomic distances…
Firas Breish, Christian Hamm, Simone Andresen, Shupeng Wang + 2 more
'Pengyun Xu' 'Yangyang Wei'] Biological structures optimized through natural selection provide valuable insights for engineering load-bearing components. This paper reviews six key strategies evolved in nature for efficient mechanical load handling: hierarchically structured composites, cellular structures, functional…
Karel Ráž, Zdeněk Chval, Mathis Pereira, Weidong Song
Lattice structures, characterized by their repetitive, interlocking patterns, provide an efficient balance of strength, flexibility, and reduced weight, making them essential in fields such as aerospace and automotive engineering. These structures use minimal material while effectively distributing stress, providing…
Kevin Maik Jablonka, Andrew S. Rosen, Aditi S. Krishnapriyan, Berend Smit
The space of all plausible materials for a given application is so large that it cannot be explored using a brute-force approach. This is, in particular, the case for reticular chemistry which provides materials designers with a practically infinite playground on different length scales. One promising approach to guide…
Christoffer Fyllgraf Christensen, Jonas Engqvist, Fengwen Wang, Ole Sigmund + 1 more
'Ole Sigmund' 'Mathias Wallin'] Preemptive identification of potential failure under loading of engineering structures is a critical challenge. Our study presents an innovative approach to built-in pre-failure indicators within multiscale structural designs utilizing the design freedom of topology optimization. The…
Sangjoon Lee, Clio Chen, Griheydi Garcia, Anton Oliynyk
Materials informatics uses data-driven approaches for the study and discovery of materials. Features or descriptors are the crucial components in generating reliable and accurate machine-learning models. While general data can be acquired through public and commercial sources, features must be tailored for a specific…
Laurent Chauvin, William A. Wells, Matthew Toews
—This paper proposes to extend local image features in 3D to include invariance to discrete symmetry including inversion of spatial axes and image contrast. A binary feature sign s ∈ {−1, +1} is defined as the sign of the Laplacian operator ∇2 , and used to obtain a descriptor that is invariant to image sign inversion…
Mohammad O. Al-Barqawi, Benjamin Church, Mythili Thevamaran, Dan J. Thoma + 3 more
'Dan J. Thoma' 'Adeeb Rahman' 'Reza Hashemi' 'Roberto De Santis'] Bone-related defects that cannot heal without significant surgical intervention represent a significant challenge in the orthopedic field. The use of implants for these critical-sized bone defects is being explored to address the limitations of autograft…
Stephen M. Pizer, Zhiyuan Liu, Junjie Zhao, Nicholas Tapp-Hughes + 4 more
'James Damon' 'Miaomiao Zhang' 'J. S. Marron' 'Jared Vicory'] We describe a representation targeted for anatomic objects which is designed to enable strong locational correspondence within object populations and thus to provide powerful object statistics. The method generates fitted frames on the boundary and in the…
Deshpande, Vinit Vijay, Piat, Romana
exhaust gas filters, biomedical implants and light weight construction [1]. The traditional methods of manufacturing ceramic foams can be classified into two types. One in which the pores are formed indirectly by mechanically stirring a ceramic solution e.g. direct foaming [2], gel casting [3], etc. The second in which…
Haleema Sadia, Marcelo A. Dias, Parvez Alam
We introduce AI-BioMech, a deep learning based framework that directly predicts the mechanical response of cellular structures from 2D images, eliminating the need for manual geometry definition and traditional finite element simulations. The framework is trained on synthetic datasets representing biological cellular…
Muhammet Muaz Yalçın, Sedat İriç, Derya İriç, Mostafa S. A. Elsayed + 1 more
This study investigates the influence of strut cross-sectional geometry and orientation on the crashworthiness of octet truss lattice structures produced via Multi Jet Fusion (MJF) using Polyamide 12 (PA12) material. All lattice configurations were designed and printed at a constant relative density of approximately…
Yuxiang Lin, Wentian Shi, Xiaohong Sun, Shuai Liu + 4 more
'Yusheng Zhou' 'Yifan Han' 'Csaba Balázsi'] In this paper, five grading functional gradient lattice structures with a different density perpendicular to the loading direction were proposed, and the surface morphology, deformation behavior, and compression properties of the functional gradient lattice structures…
Žiga Žnidarič, Branko Nečemer, Nejc Novak, Srečko Glodež + 1 more
'Robert Ulewicz'] In the proposed study, the fatigue analysis of an axisymmetric chiral cellular structure and its modified form, made of stainless steel 316L, is carried out. The main goal of the original structure geometry was to absorb as much mechanical energy as possible with its auxetic behaviour. However, it was…
Qi Ge, Huai-Liang Zheng, Chenxi Liu, Li Ma + 1 more
For decades, aspects of the topological architecture, and of the mechanical as well as other physical behaviors of periodic lattice truss materials (PLTMs) have been massively studied. Their approximate infinite design space presents a doubleedged sword, implying on one hand dramatic designability in fulfilling the…
Adam Bekele, M. Ahmer Wadee, Andrew T. M. Phillips
Structural components designed to absorb energy and shield a more valuable structure ideally require mechanical properties that combine a relatively high load-carrying capacity followed by a practically zero stiffness. This ensures that a specified energy quantity may be absorbed within a limited displacement and that…