Results 41 to 50 of about 793 (81)
Current Advances in Genome Modeling Across Length Scales
ABSTRACT The physical organization of DNA within the nucleus is fundamental to a wide range of biological processes. The experimental investigation of the structure of genomic DNA remains challenging due to its large size and hierarchical arrangement. These challenges present considerable opportunities for combined experimental and modeling approaches.
Eric R. Schultz +5 more
wiley +1 more source
Über die äquivariante motivische Spektralsequenzen [PDF]
Die Arbeit widmet sich dem Studium motivischer Spektralsequenzen mit endlicher Gruppenwirkung. So gibt es eine Atiyah-Hirzebruch-Spekralsequenz, die die äquivariante motivische Kohomologie und Thomasons äquivariante K-Theorie verbindet.
Nguyen, Manh Toan
core
InstaMap: instant‐NGP for cryo‐EM density maps
Cryo‐EM density‐map inference, with fixed pose and contrast transfer function, using a multi‐resolution hash‐encoding framework called instant‐NGP, is described, together with its extension to heterogeneity inference by bending space with a per‐image vector field.Despite the parallels between problems in computer vision and cryo‐electron microscopy ...
Geoffrey Woollard +7 more
wiley +1 more source
Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
This review highlights recent advances in machine learning (ML)‐assisted multiscale design of energy materials, currently achievable through generative structure prediction, the discovery of complex atomic structure–property relationships, accelerated prediction of diverse material and interface properties, deeper insights into microstructure effects ...
Bohayra Mortazavi
wiley +1 more source
Equivariant birational types and derived categories
Abstract We investigate equivariant birational geometry of rational surfaces and threefolds from the perspective of derived categories.
Christian Böhning +2 more
wiley +1 more source
Conjectures on the logarithmic derivatives of Artin L-functions II
We formulate a general conjecture relating Chern classes of subbundles of Gauss-Manin bundles in Arakelov geometry to logarithmic derivatives of Artin L-functions of number fields.
Maillot, Vincent, Rössler, Damian
core
On non-commutative twisting in etale and motivic cohomology [PDF]
In this paper we use ideas of the non-abelian Iwasawa main conjecture to prove a result about the first Galois cohomology of continuous Galois modules V_p(j) for large Tate-twist j and V_p a Q_p vector space.
Hornbostel, J., Kings, G.
core +1 more source
From point‐cloud data to explainable geometric learning. Abstract We present an exciting journey from 3D point‐cloud data (PCD) to the state of the art in graph neural networks (GNNs) and their evolution with explainable artificial intelligence (XAI), and 3D geometric priors with the human‐in‐the‐loop. We follow a simple definition of a “digital twin,”
Anna Saranti +4 more
wiley +1 more source
Deep learning methods for protein structure prediction
This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family model. We summarize the applications of different bioinformatics databases and various models based on deep learning architectures (convolutional neural ...
Yiming Qin +5 more
wiley +1 more source
The local motivic DT/PT correspondence. [PDF]
Davison B, Ricolfi AT.
europepmc +1 more source

